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controller design software  (MathWorks Inc)


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    Structured Review

    MathWorks Inc controller design software
    Geometry and laser log obtained from de‐identified patient dataset, demonstrating probe placement for <t>controller</t> feedback. (a) Three‐dimensional human head geometry, obtained from a de‐identified magnetic resonance guided laser interstitial thermal therapy (MRgLITT) patient, was segmented from MR images. This geometry was partitioned into five distinct domains, representing the skull, cerebrospinal fluid (CSF) general, brain tissue (averaged white matter and gray matter), CSF ventricles, and the tumor region along with MNP distribution. (b) The laser power and incremental laser retraction (5 mm) were modeled using a laser log from the de‐identified MRgLITT treatment. (c) Placement of temperature and thermal damage measuring probes within the tumor to provide feedback to the controller. L1, L2, and L3 represent the incremental laser retraction. CP1, CP2 and CP3 represent the maximum tumor temperature, whereas BP1, BP2, and BP3 represent the tumor boundary temperature.
    Controller Design Software, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 885 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/simulink%C2%AE+software/Simulink+Control+Design/pmc12888946-58-0-5
    Average 96 stars, based on 885 article reviews
    controller design software - by Bioz Stars, 2026-09
    96/100 stars

    Images

    1) Product Images from "Automated laser retraction for targeted glioblastoma coverage during laser interstitial thermal therapy"

    Article Title: Automated laser retraction for targeted glioblastoma coverage during laser interstitial thermal therapy

    Journal: Medical Physics

    doi: 10.1002/mp.70267

    Geometry and laser log obtained from de‐identified patient dataset, demonstrating probe placement for controller feedback. (a) Three‐dimensional human head geometry, obtained from a de‐identified magnetic resonance guided laser interstitial thermal therapy (MRgLITT) patient, was segmented from MR images. This geometry was partitioned into five distinct domains, representing the skull, cerebrospinal fluid (CSF) general, brain tissue (averaged white matter and gray matter), CSF ventricles, and the tumor region along with MNP distribution. (b) The laser power and incremental laser retraction (5 mm) were modeled using a laser log from the de‐identified MRgLITT treatment. (c) Placement of temperature and thermal damage measuring probes within the tumor to provide feedback to the controller. L1, L2, and L3 represent the incremental laser retraction. CP1, CP2 and CP3 represent the maximum tumor temperature, whereas BP1, BP2, and BP3 represent the tumor boundary temperature.
    Figure Legend Snippet: Geometry and laser log obtained from de‐identified patient dataset, demonstrating probe placement for controller feedback. (a) Three‐dimensional human head geometry, obtained from a de‐identified magnetic resonance guided laser interstitial thermal therapy (MRgLITT) patient, was segmented from MR images. This geometry was partitioned into five distinct domains, representing the skull, cerebrospinal fluid (CSF) general, brain tissue (averaged white matter and gray matter), CSF ventricles, and the tumor region along with MNP distribution. (b) The laser power and incremental laser retraction (5 mm) were modeled using a laser log from the de‐identified MRgLITT treatment. (c) Placement of temperature and thermal damage measuring probes within the tumor to provide feedback to the controller. L1, L2, and L3 represent the incremental laser retraction. CP1, CP2 and CP3 represent the maximum tumor temperature, whereas BP1, BP2, and BP3 represent the tumor boundary temperature.

    Techniques Used:

    Block diagram of cascaded proportional integral derivative (PID) fuzzy logic controller for thermal damage control during MRgLITT treatments.
    Figure Legend Snippet: Block diagram of cascaded proportional integral derivative (PID) fuzzy logic controller for thermal damage control during MRgLITT treatments.

    Techniques Used: Blocking Assay, Control

    PID controller with automatic probe retraction for COP. (a) Power. (b) Temperature at CP. (c) Temperature at BP. (d) Thermal damage at BP. (e) Temperature contour of 60 and 43°C at the end of L1, L2, and L3 respectively.
    Figure Legend Snippet: PID controller with automatic probe retraction for COP. (a) Power. (b) Temperature at CP. (c) Temperature at BP. (d) Thermal damage at BP. (e) Temperature contour of 60 and 43°C at the end of L1, L2, and L3 respectively.

    Techniques Used:

    PID controller with automatic probe retraction for VOP. (a) Power. (b) Temperature at CP. (c) Temperature at BP. (d) Thermal damage at BP. (e) Temperature contour of 60 and 43°C at the end of L1, L2, and L3 respectively.
    Figure Legend Snippet: PID controller with automatic probe retraction for VOP. (a) Power. (b) Temperature at CP. (c) Temperature at BP. (d) Thermal damage at BP. (e) Temperature contour of 60 and 43°C at the end of L1, L2, and L3 respectively.

    Techniques Used:

    Related Articles

    Control:

    Article Title: Run-time or compile-time error solutions for locating missing program elements in a programming environment
    Article Snippet: Additional examples of TCEs to which the present embodiments can be applied include Octave; Python; Julia; Comsol Script; MATRIXx from National Instruments; Mathcad from Mathsoft Engineering & Education Inc.; Maple from Maplesoft; Extend from Imagine That Inc.; Scilab from The French Institution for Research in Computer Science and Control (INRIA); Virtuoso from Cadence; Modelica or Dymola from Dynasim; etc.); a graphically-based environment (e.g., Simulink® software, Stateflow® software, SimEvents® software, SimscapeTM software, etc., by The MathWorks, Inc.; VisSim by Visual Solutions; LabView® by National Instruments; Dymola by Dynasim; SoftWIRE by Measurement Computing; WiT by DALSA Coreco; VEE Pro or SystemVue by Agilent; Vision Program Manager from PPT Vision; Khoros from Khoral Research; Gedae by Gedae, Inc.; Scicos from (INRIA); Virtuoso from Cadence; Rational Rose from IBM; Rhopsody or Tau from Telelogic; Ptolemy from the University of California at Berkeley; and aspects of a Unified Modeling Language (UML) or SysML environment; etc.).

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    Article Title: Dynamic modeling with experimental validation and control of a two-phase closed thermosyphon as heat supplier of a novel pilot-scale falling film distillation unit
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    Article Title: Systems and methods for design parameter selection
    Article Snippet: TCE 820 may be implemented as a text-based programming environment (e.g., MATLAB software; Octave; Python; Julia by Julia Computing, Inc., Comsol Script; MATRIXx from National Instruments; Mathematica from Wolfram Research, Inc.; Mathcad from Mathsoft Engineering & Education Inc.; Maple from Maplesoft; Extend from Imagine That Inc.; Scilab from The French Institution for Research in Computer Science and Control (INRIA); Virtuoso from Cadence; Modelica or Dymola from Dynasim; etc.), a graphically-based programming environment (e.g., Simulink® software, Stateflow® software, SimEvents® software, SimscapeTM software, etc., by The MathWorks, Inc.; VisSim by Visual Solutions; LabView® by National Instruments; Dymola by Dynasim; SoftWIRE by Measurement Computing; WiT by DALSA Coreco; VEE Pro or SystemVue by Agilent; Vision Program Manager from PPT Vision; Khoros from Khoral Research; Gedae by Gedae, Inc.; Scicos from (INRIA); Virtuoso from Cadence; Rational Rose from IBM; Rhapsody or Tau from Telelogic; Ptolemy from the University of California at Berkeley; aspects of a Unified Modeling Language (UML) or SysML environment; etc.), or another type of programming environment, such as a hybrid programming environment that includes one or more text-based programming environments and one or more graphically-based programming environments.

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    Article Title: Contact Compliance Based Visual Feedback for Tool Alignment in Robot Assisted Bone Drilling.
    Article Snippet: The simulation model was configured as shown in Figure 4 by using the simulink® software in MATLAB (Mathwork, Inc., Natick, MA, USA).

    Article Title: Investigation on nonlinear dynamics and active control of boring bar chatter
    Article Snippet: This article deals with identification of nonlinear dynamics and active control of boring bar chatter.. A control system with unidirectional actuation is proposed, which consists of an accelerometer sensor that monitors the cutting tool vibrations as well as an electrodynamic shaker that exerts a controllable force to a boring bar in the radial direction.. The forward path model for actuator–boring bar assembly is identified using the fundamental concepts of system identification.

    Software:

    Article Title: Run-time or compile-time error solutions for locating missing program elements in a programming environment
    Article Snippet: Additional examples of TCEs to which the present embodiments can be applied include Octave; Python; Julia; Comsol Script; MATRIXx from National Instruments; Mathcad from Mathsoft Engineering & Education Inc.; Maple from Maplesoft; Extend from Imagine That Inc.; Scilab from The French Institution for Research in Computer Science and Control (INRIA); Virtuoso from Cadence; Modelica or Dymola from Dynasim; etc.); a graphically-based environment (e.g., Simulink® software, Stateflow® software, SimEvents® software, SimscapeTM software, etc., by The MathWorks, Inc.; VisSim by Visual Solutions; LabView® by National Instruments; Dymola by Dynasim; SoftWIRE by Measurement Computing; WiT by DALSA Coreco; VEE Pro or SystemVue by Agilent; Vision Program Manager from PPT Vision; Khoros from Khoral Research; Gedae by Gedae, Inc.; Scicos from (INRIA); Virtuoso from Cadence; Rational Rose from IBM; Rhopsody or Tau from Telelogic; Ptolemy from the University of California at Berkeley; and aspects of a Unified Modeling Language (UML) or SysML environment; etc.).

    Article Title: Output feedback controller for trajectory tracking of robot manipulators without velocity measurements nor observers
    Article Snippet: The Simulink® software was used to create the control algorithm; moreover, a dSPACE MicroLabBox DAQ also was used 1824 IET Control Theory Appl., 2020, Vol.

    Article Title: Provisional investigation of biomass pyrolysis in CSTR using Simulink® and Aspen Plus®
    Article Snippet: A Simulink-based model is designed to simulate biomass pyrolysis as a case study.. The Simulink model has a separate database for system models, material properties, and thermodynamic models.. The data flow has been standardised and straightforward to use with user-supplied data.

    Article Title: Dynamic modeling with experimental validation and control of a two-phase closed thermosyphon as heat supplier of a novel pilot-scale falling film distillation unit
    Article Snippet: Worldwide effort s in process intensification led to innovative designs for distillation, notably known as an energy-intensive process.. Focusing on the boosting of thermal efficiency, our research team developed a novel pilot-scale thermosyphon-assisted falling film distillation apparatus.. A network dynamic modeling is proposed to describe the thermal behavior of this new device, and the model is validated by dedicated experimental campaigns with the pilot-scale unit.

    Article Title: Systems and methods for design parameter selection
    Article Snippet: TCE 820 may be implemented as a text-based programming environment (e.g., MATLAB software; Octave; Python; Julia by Julia Computing, Inc., Comsol Script; MATRIXx from National Instruments; Mathematica from Wolfram Research, Inc.; Mathcad from Mathsoft Engineering & Education Inc.; Maple from Maplesoft; Extend from Imagine That Inc.; Scilab from The French Institution for Research in Computer Science and Control (INRIA); Virtuoso from Cadence; Modelica or Dymola from Dynasim; etc.), a graphically-based programming environment (e.g., Simulink® software, Stateflow® software, SimEvents® software, SimscapeTM software, etc., by The MathWorks, Inc.; VisSim by Visual Solutions; LabView® by National Instruments; Dymola by Dynasim; SoftWIRE by Measurement Computing; WiT by DALSA Coreco; VEE Pro or SystemVue by Agilent; Vision Program Manager from PPT Vision; Khoros from Khoral Research; Gedae by Gedae, Inc.; Scicos from (INRIA); Virtuoso from Cadence; Rational Rose from IBM; Rhapsody or Tau from Telelogic; Ptolemy from the University of California at Berkeley; aspects of a Unified Modeling Language (UML) or SysML environment; etc.), or another type of programming environment, such as a hybrid programming environment that includes one or more text-based programming environments and one or more graphically-based programming environments.

    Article Title: A Three-Port DC-DC Converter Combined Configuration Method for PV-Battery Power Systems based on Prognostic Anticipating Controller Algorithm
    Article Snippet: This article demonstrates how to use Simulink® software to simulate a dynamic system and then utilize the simulation findings to refine the model. Once the model is ready for simulation, measured system data and room temperature can be entered using an interface.

    Article Title: Contact Compliance Based Visual Feedback for Tool Alignment in Robot Assisted Bone Drilling.
    Article Snippet: The simulation model was configured as shown in Figure 4 by using the simulink® software in MATLAB (Mathwork, Inc., Natick, MA, USA).

    Article Title: Investigation on nonlinear dynamics and active control of boring bar chatter
    Article Snippet: This article deals with identification of nonlinear dynamics and active control of boring bar chatter.. A control system with unidirectional actuation is proposed, which consists of an accelerometer sensor that monitors the cutting tool vibrations as well as an electrodynamic shaker that exerts a controllable force to a boring bar in the radial direction.. The forward path model for actuator–boring bar assembly is identified using the fundamental concepts of system identification.

    Construct:

    Article Title: Run-time or compile-time error solutions for locating missing program elements in a programming environment
    Article Snippet: Additional examples of TCEs to which the present embodiments can be applied include Octave; Python; Julia; Comsol Script; MATRIXx from National Instruments; Mathcad from Mathsoft Engineering & Education Inc.; Maple from Maplesoft; Extend from Imagine That Inc.; Scilab from The French Institution for Research in Computer Science and Control (INRIA); Virtuoso from Cadence; Modelica or Dymola from Dynasim; etc.); a graphically-based environment (e.g., Simulink® software, Stateflow® software, SimEvents® software, SimscapeTM software, etc., by The MathWorks, Inc.; VisSim by Visual Solutions; LabView® by National Instruments; Dymola by Dynasim; SoftWIRE by Measurement Computing; WiT by DALSA Coreco; VEE Pro or SystemVue by Agilent; Vision Program Manager from PPT Vision; Khoros from Khoral Research; Gedae by Gedae, Inc.; Scicos from (INRIA); Virtuoso from Cadence; Rational Rose from IBM; Rhopsody or Tau from Telelogic; Ptolemy from the University of California at Berkeley; and aspects of a Unified Modeling Language (UML) or SysML environment; etc.).

    Article Title: Output feedback controller for trajectory tracking of robot manipulators without velocity measurements nor observers
    Article Snippet: The Simulink® software was used to create the control algorithm; moreover, a dSPACE MicroLabBox DAQ also was used 1824 IET Control Theory Appl., 2020, Vol.

    Article Title: Provisional investigation of biomass pyrolysis in CSTR using Simulink® and Aspen Plus®
    Article Snippet: A Simulink-based model is designed to simulate biomass pyrolysis as a case study.. The Simulink model has a separate database for system models, material properties, and thermodynamic models.. The data flow has been standardised and straightforward to use with user-supplied data.

    Article Title: Dynamic modeling with experimental validation and control of a two-phase closed thermosyphon as heat supplier of a novel pilot-scale falling film distillation unit
    Article Snippet: Worldwide effort s in process intensification led to innovative designs for distillation, notably known as an energy-intensive process.. Focusing on the boosting of thermal efficiency, our research team developed a novel pilot-scale thermosyphon-assisted falling film distillation apparatus.. A network dynamic modeling is proposed to describe the thermal behavior of this new device, and the model is validated by dedicated experimental campaigns with the pilot-scale unit.

    Article Title: Systems and methods for design parameter selection
    Article Snippet: TCE 820 may be implemented as a text-based programming environment (e.g., MATLAB software; Octave; Python; Julia by Julia Computing, Inc., Comsol Script; MATRIXx from National Instruments; Mathematica from Wolfram Research, Inc.; Mathcad from Mathsoft Engineering & Education Inc.; Maple from Maplesoft; Extend from Imagine That Inc.; Scilab from The French Institution for Research in Computer Science and Control (INRIA); Virtuoso from Cadence; Modelica or Dymola from Dynasim; etc.), a graphically-based programming environment (e.g., Simulink® software, Stateflow® software, SimEvents® software, SimscapeTM software, etc., by The MathWorks, Inc.; VisSim by Visual Solutions; LabView® by National Instruments; Dymola by Dynasim; SoftWIRE by Measurement Computing; WiT by DALSA Coreco; VEE Pro or SystemVue by Agilent; Vision Program Manager from PPT Vision; Khoros from Khoral Research; Gedae by Gedae, Inc.; Scicos from (INRIA); Virtuoso from Cadence; Rational Rose from IBM; Rhapsody or Tau from Telelogic; Ptolemy from the University of California at Berkeley; aspects of a Unified Modeling Language (UML) or SysML environment; etc.), or another type of programming environment, such as a hybrid programming environment that includes one or more text-based programming environments and one or more graphically-based programming environments.

    Article Title: A Three-Port DC-DC Converter Combined Configuration Method for PV-Battery Power Systems based on Prognostic Anticipating Controller Algorithm
    Article Snippet: This article demonstrates how to use Simulink® software to simulate a dynamic system and then utilize the simulation findings to refine the model. Once the model is ready for simulation, measured system data and room temperature can be entered using an interface.

    Article Title: Contact Compliance Based Visual Feedback for Tool Alignment in Robot Assisted Bone Drilling.
    Article Snippet: The simulation model was configured as shown in Figure 4 by using the simulink® software in MATLAB (Mathwork, Inc., Natick, MA, USA).

    Article Title: Investigation on nonlinear dynamics and active control of boring bar chatter
    Article Snippet: This article deals with identification of nonlinear dynamics and active control of boring bar chatter.. A control system with unidirectional actuation is proposed, which consists of an accelerometer sensor that monitors the cutting tool vibrations as well as an electrodynamic shaker that exerts a controllable force to a boring bar in the radial direction.. The forward path model for actuator–boring bar assembly is identified using the fundamental concepts of system identification.

    Concentration Assay:

    Article Title: Run-time or compile-time error solutions for locating missing program elements in a programming environment
    Article Snippet: Additional examples of TCEs to which the present embodiments can be applied include Octave; Python; Julia; Comsol Script; MATRIXx from National Instruments; Mathcad from Mathsoft Engineering & Education Inc.; Maple from Maplesoft; Extend from Imagine That Inc.; Scilab from The French Institution for Research in Computer Science and Control (INRIA); Virtuoso from Cadence; Modelica or Dymola from Dynasim; etc.); a graphically-based environment (e.g., Simulink® software, Stateflow® software, SimEvents® software, SimscapeTM software, etc., by The MathWorks, Inc.; VisSim by Visual Solutions; LabView® by National Instruments; Dymola by Dynasim; SoftWIRE by Measurement Computing; WiT by DALSA Coreco; VEE Pro or SystemVue by Agilent; Vision Program Manager from PPT Vision; Khoros from Khoral Research; Gedae by Gedae, Inc.; Scicos from (INRIA); Virtuoso from Cadence; Rational Rose from IBM; Rhopsody or Tau from Telelogic; Ptolemy from the University of California at Berkeley; and aspects of a Unified Modeling Language (UML) or SysML environment; etc.).

    Article Title: Output feedback controller for trajectory tracking of robot manipulators without velocity measurements nor observers
    Article Snippet: The Simulink® software was used to create the control algorithm; moreover, a dSPACE MicroLabBox DAQ also was used 1824 IET Control Theory Appl., 2020, Vol.

    Article Title: Provisional investigation of biomass pyrolysis in CSTR using Simulink® and Aspen Plus®
    Article Snippet: A Simulink-based model is designed to simulate biomass pyrolysis as a case study.. The Simulink model has a separate database for system models, material properties, and thermodynamic models.. The data flow has been standardised and straightforward to use with user-supplied data.

    Article Title: Dynamic modeling with experimental validation and control of a two-phase closed thermosyphon as heat supplier of a novel pilot-scale falling film distillation unit
    Article Snippet: Worldwide effort s in process intensification led to innovative designs for distillation, notably known as an energy-intensive process.. Focusing on the boosting of thermal efficiency, our research team developed a novel pilot-scale thermosyphon-assisted falling film distillation apparatus.. A network dynamic modeling is proposed to describe the thermal behavior of this new device, and the model is validated by dedicated experimental campaigns with the pilot-scale unit.

    Article Title: Systems and methods for design parameter selection
    Article Snippet: TCE 820 may be implemented as a text-based programming environment (e.g., MATLAB software; Octave; Python; Julia by Julia Computing, Inc., Comsol Script; MATRIXx from National Instruments; Mathematica from Wolfram Research, Inc.; Mathcad from Mathsoft Engineering & Education Inc.; Maple from Maplesoft; Extend from Imagine That Inc.; Scilab from The French Institution for Research in Computer Science and Control (INRIA); Virtuoso from Cadence; Modelica or Dymola from Dynasim; etc.), a graphically-based programming environment (e.g., Simulink® software, Stateflow® software, SimEvents® software, SimscapeTM software, etc., by The MathWorks, Inc.; VisSim by Visual Solutions; LabView® by National Instruments; Dymola by Dynasim; SoftWIRE by Measurement Computing; WiT by DALSA Coreco; VEE Pro or SystemVue by Agilent; Vision Program Manager from PPT Vision; Khoros from Khoral Research; Gedae by Gedae, Inc.; Scicos from (INRIA); Virtuoso from Cadence; Rational Rose from IBM; Rhapsody or Tau from Telelogic; Ptolemy from the University of California at Berkeley; aspects of a Unified Modeling Language (UML) or SysML environment; etc.), or another type of programming environment, such as a hybrid programming environment that includes one or more text-based programming environments and one or more graphically-based programming environments.

    Article Title: A Three-Port DC-DC Converter Combined Configuration Method for PV-Battery Power Systems based on Prognostic Anticipating Controller Algorithm
    Article Snippet: This article demonstrates how to use Simulink® software to simulate a dynamic system and then utilize the simulation findings to refine the model. Once the model is ready for simulation, measured system data and room temperature can be entered using an interface.

    Article Title: Contact Compliance Based Visual Feedback for Tool Alignment in Robot Assisted Bone Drilling.
    Article Snippet: The simulation model was configured as shown in Figure 4 by using the simulink® software in MATLAB (Mathwork, Inc., Natick, MA, USA).

    Article Title: Investigation on nonlinear dynamics and active control of boring bar chatter
    Article Snippet: This article deals with identification of nonlinear dynamics and active control of boring bar chatter.. A control system with unidirectional actuation is proposed, which consists of an accelerometer sensor that monitors the cutting tool vibrations as well as an electrodynamic shaker that exerts a controllable force to a boring bar in the radial direction.. The forward path model for actuator–boring bar assembly is identified using the fundamental concepts of system identification.

    Distillation:

    Article Title: Run-time or compile-time error solutions for locating missing program elements in a programming environment
    Article Snippet: Additional examples of TCEs to which the present embodiments can be applied include Octave; Python; Julia; Comsol Script; MATRIXx from National Instruments; Mathcad from Mathsoft Engineering & Education Inc.; Maple from Maplesoft; Extend from Imagine That Inc.; Scilab from The French Institution for Research in Computer Science and Control (INRIA); Virtuoso from Cadence; Modelica or Dymola from Dynasim; etc.); a graphically-based environment (e.g., Simulink® software, Stateflow® software, SimEvents® software, SimscapeTM software, etc., by The MathWorks, Inc.; VisSim by Visual Solutions; LabView® by National Instruments; Dymola by Dynasim; SoftWIRE by Measurement Computing; WiT by DALSA Coreco; VEE Pro or SystemVue by Agilent; Vision Program Manager from PPT Vision; Khoros from Khoral Research; Gedae by Gedae, Inc.; Scicos from (INRIA); Virtuoso from Cadence; Rational Rose from IBM; Rhopsody or Tau from Telelogic; Ptolemy from the University of California at Berkeley; and aspects of a Unified Modeling Language (UML) or SysML environment; etc.).

    Article Title: Output feedback controller for trajectory tracking of robot manipulators without velocity measurements nor observers
    Article Snippet: The Simulink® software was used to create the control algorithm; moreover, a dSPACE MicroLabBox DAQ also was used 1824 IET Control Theory Appl., 2020, Vol.

    Article Title: Provisional investigation of biomass pyrolysis in CSTR using Simulink® and Aspen Plus®
    Article Snippet: A Simulink-based model is designed to simulate biomass pyrolysis as a case study.. The Simulink model has a separate database for system models, material properties, and thermodynamic models.. The data flow has been standardised and straightforward to use with user-supplied data.

    Article Title: Dynamic modeling with experimental validation and control of a two-phase closed thermosyphon as heat supplier of a novel pilot-scale falling film distillation unit
    Article Snippet: Worldwide effort s in process intensification led to innovative designs for distillation, notably known as an energy-intensive process.. Focusing on the boosting of thermal efficiency, our research team developed a novel pilot-scale thermosyphon-assisted falling film distillation apparatus.. A network dynamic modeling is proposed to describe the thermal behavior of this new device, and the model is validated by dedicated experimental campaigns with the pilot-scale unit.

    Article Title: Systems and methods for design parameter selection
    Article Snippet: TCE 820 may be implemented as a text-based programming environment (e.g., MATLAB software; Octave; Python; Julia by Julia Computing, Inc., Comsol Script; MATRIXx from National Instruments; Mathematica from Wolfram Research, Inc.; Mathcad from Mathsoft Engineering & Education Inc.; Maple from Maplesoft; Extend from Imagine That Inc.; Scilab from The French Institution for Research in Computer Science and Control (INRIA); Virtuoso from Cadence; Modelica or Dymola from Dynasim; etc.), a graphically-based programming environment (e.g., Simulink® software, Stateflow® software, SimEvents® software, SimscapeTM software, etc., by The MathWorks, Inc.; VisSim by Visual Solutions; LabView® by National Instruments; Dymola by Dynasim; SoftWIRE by Measurement Computing; WiT by DALSA Coreco; VEE Pro or SystemVue by Agilent; Vision Program Manager from PPT Vision; Khoros from Khoral Research; Gedae by Gedae, Inc.; Scicos from (INRIA); Virtuoso from Cadence; Rational Rose from IBM; Rhapsody or Tau from Telelogic; Ptolemy from the University of California at Berkeley; aspects of a Unified Modeling Language (UML) or SysML environment; etc.), or another type of programming environment, such as a hybrid programming environment that includes one or more text-based programming environments and one or more graphically-based programming environments.

    Article Title: A Three-Port DC-DC Converter Combined Configuration Method for PV-Battery Power Systems based on Prognostic Anticipating Controller Algorithm
    Article Snippet: This article demonstrates how to use Simulink® software to simulate a dynamic system and then utilize the simulation findings to refine the model. Once the model is ready for simulation, measured system data and room temperature can be entered using an interface.

    Article Title: Contact Compliance Based Visual Feedback for Tool Alignment in Robot Assisted Bone Drilling.
    Article Snippet: The simulation model was configured as shown in Figure 4 by using the simulink® software in MATLAB (Mathwork, Inc., Natick, MA, USA).

    Article Title: Investigation on nonlinear dynamics and active control of boring bar chatter
    Article Snippet: This article deals with identification of nonlinear dynamics and active control of boring bar chatter.. A control system with unidirectional actuation is proposed, which consists of an accelerometer sensor that monitors the cutting tool vibrations as well as an electrodynamic shaker that exerts a controllable force to a boring bar in the radial direction.. The forward path model for actuator–boring bar assembly is identified using the fundamental concepts of system identification.



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    MathWorks Inc matlab simulink r2015a software
    Geometry and laser log obtained from de‐identified patient dataset, demonstrating probe placement for <t>controller</t> feedback. (a) Three‐dimensional human head geometry, obtained from a de‐identified magnetic resonance guided laser interstitial thermal therapy (MRgLITT) patient, was segmented from MR images. This geometry was partitioned into five distinct domains, representing the skull, cerebrospinal fluid (CSF) general, brain tissue (averaged white matter and gray matter), CSF ventricles, and the tumor region along with MNP distribution. (b) The laser power and incremental laser retraction (5 mm) were modeled using a laser log from the de‐identified MRgLITT treatment. (c) Placement of temperature and thermal damage measuring probes within the tumor to provide feedback to the controller. L1, L2, and L3 represent the incremental laser retraction. CP1, CP2 and CP3 represent the maximum tumor temperature, whereas BP1, BP2, and BP3 represent the tumor boundary temperature.
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    Geometry and laser log obtained from de‐identified patient dataset, demonstrating probe placement for <t>controller</t> feedback. (a) Three‐dimensional human head geometry, obtained from a de‐identified magnetic resonance guided laser interstitial thermal therapy (MRgLITT) patient, was segmented from MR images. This geometry was partitioned into five distinct domains, representing the skull, cerebrospinal fluid (CSF) general, brain tissue (averaged white matter and gray matter), CSF ventricles, and the tumor region along with MNP distribution. (b) The laser power and incremental laser retraction (5 mm) were modeled using a laser log from the de‐identified MRgLITT treatment. (c) Placement of temperature and thermal damage measuring probes within the tumor to provide feedback to the controller. L1, L2, and L3 represent the incremental laser retraction. CP1, CP2 and CP3 represent the maximum tumor temperature, whereas BP1, BP2, and BP3 represent the tumor boundary temperature.
    Computer Running Matlab Simulink Software, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    MathWorks Inc real time simulink software
    Geometry and laser log obtained from de‐identified patient dataset, demonstrating probe placement for <t>controller</t> feedback. (a) Three‐dimensional human head geometry, obtained from a de‐identified magnetic resonance guided laser interstitial thermal therapy (MRgLITT) patient, was segmented from MR images. This geometry was partitioned into five distinct domains, representing the skull, cerebrospinal fluid (CSF) general, brain tissue (averaged white matter and gray matter), CSF ventricles, and the tumor region along with MNP distribution. (b) The laser power and incremental laser retraction (5 mm) were modeled using a laser log from the de‐identified MRgLITT treatment. (c) Placement of temperature and thermal damage measuring probes within the tumor to provide feedback to the controller. L1, L2, and L3 represent the incremental laser retraction. CP1, CP2 and CP3 represent the maximum tumor temperature, whereas BP1, BP2, and BP3 represent the tumor boundary temperature.
    Real Time Simulink Software, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    MathWorks Inc simulink matlab software
    Geometry and laser log obtained from de‐identified patient dataset, demonstrating probe placement for <t>controller</t> feedback. (a) Three‐dimensional human head geometry, obtained from a de‐identified magnetic resonance guided laser interstitial thermal therapy (MRgLITT) patient, was segmented from MR images. This geometry was partitioned into five distinct domains, representing the skull, cerebrospinal fluid (CSF) general, brain tissue (averaged white matter and gray matter), CSF ventricles, and the tumor region along with MNP distribution. (b) The laser power and incremental laser retraction (5 mm) were modeled using a laser log from the de‐identified MRgLITT treatment. (c) Placement of temperature and thermal damage measuring probes within the tumor to provide feedback to the controller. L1, L2, and L3 represent the incremental laser retraction. CP1, CP2 and CP3 represent the maximum tumor temperature, whereas BP1, BP2, and BP3 represent the tumor boundary temperature.
    Simulink Matlab Software, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    MathWorks Inc simulink 7.5 software
    Geometry and laser log obtained from de‐identified patient dataset, demonstrating probe placement for <t>controller</t> feedback. (a) Three‐dimensional human head geometry, obtained from a de‐identified magnetic resonance guided laser interstitial thermal therapy (MRgLITT) patient, was segmented from MR images. This geometry was partitioned into five distinct domains, representing the skull, cerebrospinal fluid (CSF) general, brain tissue (averaged white matter and gray matter), CSF ventricles, and the tumor region along with MNP distribution. (b) The laser power and incremental laser retraction (5 mm) were modeled using a laser log from the de‐identified MRgLITT treatment. (c) Placement of temperature and thermal damage measuring probes within the tumor to provide feedback to the controller. L1, L2, and L3 represent the incremental laser retraction. CP1, CP2 and CP3 represent the maximum tumor temperature, whereas BP1, BP2, and BP3 represent the tumor boundary temperature.
    Simulink 7.5 Software, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    MathWorks Inc matlab simulink simscape software
    Geometry and laser log obtained from de‐identified patient dataset, demonstrating probe placement for <t>controller</t> feedback. (a) Three‐dimensional human head geometry, obtained from a de‐identified magnetic resonance guided laser interstitial thermal therapy (MRgLITT) patient, was segmented from MR images. This geometry was partitioned into five distinct domains, representing the skull, cerebrospinal fluid (CSF) general, brain tissue (averaged white matter and gray matter), CSF ventricles, and the tumor region along with MNP distribution. (b) The laser power and incremental laser retraction (5 mm) were modeled using a laser log from the de‐identified MRgLITT treatment. (c) Placement of temperature and thermal damage measuring probes within the tumor to provide feedback to the controller. L1, L2, and L3 represent the incremental laser retraction. CP1, CP2 and CP3 represent the maximum tumor temperature, whereas BP1, BP2, and BP3 represent the tumor boundary temperature.
    Matlab Simulink Simscape Software, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/simulink%C2%AE+software/Simscape/10__1016_slash_j__est__2025__117607-186-13-14
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    MathWorks Inc matlab/ simulink software
    Geometry and laser log obtained from de‐identified patient dataset, demonstrating probe placement for <t>controller</t> feedback. (a) Three‐dimensional human head geometry, obtained from a de‐identified magnetic resonance guided laser interstitial thermal therapy (MRgLITT) patient, was segmented from MR images. This geometry was partitioned into five distinct domains, representing the skull, cerebrospinal fluid (CSF) general, brain tissue (averaged white matter and gray matter), CSF ventricles, and the tumor region along with MNP distribution. (b) The laser power and incremental laser retraction (5 mm) were modeled using a laser log from the de‐identified MRgLITT treatment. (c) Placement of temperature and thermal damage measuring probes within the tumor to provide feedback to the controller. L1, L2, and L3 represent the incremental laser retraction. CP1, CP2 and CP3 represent the maximum tumor temperature, whereas BP1, BP2, and BP3 represent the tumor boundary temperature.
    Matlab/ Simulink Software, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    MathWorks Inc simulation software matlab/simulink
    Geometry and laser log obtained from de‐identified patient dataset, demonstrating probe placement for <t>controller</t> feedback. (a) Three‐dimensional human head geometry, obtained from a de‐identified magnetic resonance guided laser interstitial thermal therapy (MRgLITT) patient, was segmented from MR images. This geometry was partitioned into five distinct domains, representing the skull, cerebrospinal fluid (CSF) general, brain tissue (averaged white matter and gray matter), CSF ventricles, and the tumor region along with MNP distribution. (b) The laser power and incremental laser retraction (5 mm) were modeled using a laser log from the de‐identified MRgLITT treatment. (c) Placement of temperature and thermal damage measuring probes within the tumor to provide feedback to the controller. L1, L2, and L3 represent the incremental laser retraction. CP1, CP2 and CP3 represent the maximum tumor temperature, whereas BP1, BP2, and BP3 represent the tumor boundary temperature.
    Simulation Software Matlab/Simulink, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Image Search Results


    Geometry and laser log obtained from de‐identified patient dataset, demonstrating probe placement for controller feedback. (a) Three‐dimensional human head geometry, obtained from a de‐identified magnetic resonance guided laser interstitial thermal therapy (MRgLITT) patient, was segmented from MR images. This geometry was partitioned into five distinct domains, representing the skull, cerebrospinal fluid (CSF) general, brain tissue (averaged white matter and gray matter), CSF ventricles, and the tumor region along with MNP distribution. (b) The laser power and incremental laser retraction (5 mm) were modeled using a laser log from the de‐identified MRgLITT treatment. (c) Placement of temperature and thermal damage measuring probes within the tumor to provide feedback to the controller. L1, L2, and L3 represent the incremental laser retraction. CP1, CP2 and CP3 represent the maximum tumor temperature, whereas BP1, BP2, and BP3 represent the tumor boundary temperature.

    Journal: Medical Physics

    Article Title: Automated laser retraction for targeted glioblastoma coverage during laser interstitial thermal therapy

    doi: 10.1002/mp.70267

    Figure Lengend Snippet: Geometry and laser log obtained from de‐identified patient dataset, demonstrating probe placement for controller feedback. (a) Three‐dimensional human head geometry, obtained from a de‐identified magnetic resonance guided laser interstitial thermal therapy (MRgLITT) patient, was segmented from MR images. This geometry was partitioned into five distinct domains, representing the skull, cerebrospinal fluid (CSF) general, brain tissue (averaged white matter and gray matter), CSF ventricles, and the tumor region along with MNP distribution. (b) The laser power and incremental laser retraction (5 mm) were modeled using a laser log from the de‐identified MRgLITT treatment. (c) Placement of temperature and thermal damage measuring probes within the tumor to provide feedback to the controller. L1, L2, and L3 represent the incremental laser retraction. CP1, CP2 and CP3 represent the maximum tumor temperature, whereas BP1, BP2, and BP3 represent the tumor boundary temperature.

    Article Snippet: Controller design software such as MATLAB Simulink allows for the design of linear temporal models but lacks the capability to accurately represent the spatiotemporal dynamics of the system which will lead to suboptimal treatment plan.

    Techniques:

    Block diagram of cascaded proportional integral derivative (PID) fuzzy logic controller for thermal damage control during MRgLITT treatments.

    Journal: Medical Physics

    Article Title: Automated laser retraction for targeted glioblastoma coverage during laser interstitial thermal therapy

    doi: 10.1002/mp.70267

    Figure Lengend Snippet: Block diagram of cascaded proportional integral derivative (PID) fuzzy logic controller for thermal damage control during MRgLITT treatments.

    Article Snippet: Controller design software such as MATLAB Simulink allows for the design of linear temporal models but lacks the capability to accurately represent the spatiotemporal dynamics of the system which will lead to suboptimal treatment plan.

    Techniques: Blocking Assay, Control

    PID controller with automatic probe retraction for COP. (a) Power. (b) Temperature at CP. (c) Temperature at BP. (d) Thermal damage at BP. (e) Temperature contour of 60 and 43°C at the end of L1, L2, and L3 respectively.

    Journal: Medical Physics

    Article Title: Automated laser retraction for targeted glioblastoma coverage during laser interstitial thermal therapy

    doi: 10.1002/mp.70267

    Figure Lengend Snippet: PID controller with automatic probe retraction for COP. (a) Power. (b) Temperature at CP. (c) Temperature at BP. (d) Thermal damage at BP. (e) Temperature contour of 60 and 43°C at the end of L1, L2, and L3 respectively.

    Article Snippet: Controller design software such as MATLAB Simulink allows for the design of linear temporal models but lacks the capability to accurately represent the spatiotemporal dynamics of the system which will lead to suboptimal treatment plan.

    Techniques:

    PID controller with automatic probe retraction for VOP. (a) Power. (b) Temperature at CP. (c) Temperature at BP. (d) Thermal damage at BP. (e) Temperature contour of 60 and 43°C at the end of L1, L2, and L3 respectively.

    Journal: Medical Physics

    Article Title: Automated laser retraction for targeted glioblastoma coverage during laser interstitial thermal therapy

    doi: 10.1002/mp.70267

    Figure Lengend Snippet: PID controller with automatic probe retraction for VOP. (a) Power. (b) Temperature at CP. (c) Temperature at BP. (d) Thermal damage at BP. (e) Temperature contour of 60 and 43°C at the end of L1, L2, and L3 respectively.

    Article Snippet: Controller design software such as MATLAB Simulink allows for the design of linear temporal models but lacks the capability to accurately represent the spatiotemporal dynamics of the system which will lead to suboptimal treatment plan.

    Techniques: