dspace ds1103 ppc real time controller card (MathWorks Inc)
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dspace ds1103 ppc real time controller card
Dspace Ds1103 Ppc Real Time Controller Card, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1966 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/dspace+ds1103+ppc+real+time+controller+card/Simulink+Real-Time/10__1016_slash_j__neucom__2020__02__088-91-14-25
Average 96 stars, based on 1966 article reviews
Dspace Ds1103 Ppc Real Time Controller Card, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 96/100, based on 1966 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/dspace+ds1103+ppc+real+time+controller+card/Simulink+Real-Time/10__1016_slash_j__neucom__2020__02__088-91-14-25
Average 96 stars, based on 1966 article reviews
dspace ds1103 ppc real time controller card - by Bioz Stars,
2026-10
96/100 stars
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Control:Article Title: Adaptive observer based on MLPNN and sliding mode for wearable robots: Application to an active joint orthosis Article Snippet: This paper deals with the design of an adaptive observer based both on a Multi-Layer Perceptron Neural Network (MLPNN) and a sliding mode technique.. Its main objective is to construct the complete state of a given exoskeleton worn by a human subject.. The observer we propose in this paper can be used for any application: rehabilitation, assistance, etc. Article Title: A radial basis function neural network adaptive controller to drive a powered lower limb knee joint orthosis Article Snippet: This paper deals with the rehabilitation purposes using an active orthosis driven by an adaptive neural controller based on a Radial Basis Function Neural Network (RBFNN).. Two essential conditions are required in our study: ensuring the wearer safety and the good trajectory tracking.. We consider for our experiments the same movements often recommended by the doctor during therapy sessions. Article Title: Robust adaptive neuronal controller for exoskeletons with sliding-mode Article Snippet: .. The figure 4 shows our experimental setup based on a285 computer equipped with a Article Title: Finite-Time Control of an Actuated Orthosis Using Fast Terminal Sliding Mode Article Snippet: This paper deals with the controller of an active orthosis for rehabilitation reasons of the knee joint.. The dynamical model of the system, constituted of the shank and the orthosis is complex and is considered as unknown in the conception of the proposed controller.. The full security protocol has been carefully applied and we have selected a healthy person for our experiments. Article Title: Adaptive integral terminal sliding mode control for upper-limb rehabilitation exoskeleton Article Snippet: Control Engineering Practice 75 (2018) 108–117 Contents lists available at ScienceDirect Control Engineering Practice journal homepage: www.elsevier.com/locate/conengprac Adaptive integral terminal sliding mode control for upper-limb rehabilitation exoskeleton A. Riani a,*, T. Madani b, A. Benallegue a, K. Djouani b a Laboratoire d’Ingénierie des Systémes de Versailles, UVSQ, Université Paris-Saclay, 78140 Velizy, France b Laboratoire Images, Signaux et Systémes Intelligents, Université Paris-Est Créteil, 94400 Vitry sur Seine, France A R T I C L E I N F O Keywords: Adaptive control Sliding mode control Wearable robots Rehabilitation robotics Exoskeleton A B S T R A C T A robust adaptive integral terminal sliding mode control strategy is proposed in this paper to deal with unknown but bounded dynamic uncertainties of a nonlinear system.. This method is applied for the control of upper limb exoskeleton in order to achieve passive rehabilitation movements.. Indeed, exoskeletons are in direct interaction with the human limb and even if it is possible to identify the nominal dynamics of the exoskeleton, the subject’s limb dynamics remain typically unknown and defer from a person to another. Software:Article Title: Adaptive observer based on MLPNN and sliding mode for wearable robots: Application to an active joint orthosis Article Snippet: This paper deals with the design of an adaptive observer based both on a Multi-Layer Perceptron Neural Network (MLPNN) and a sliding mode technique.. Its main objective is to construct the complete state of a given exoskeleton worn by a human subject.. The observer we propose in this paper can be used for any application: rehabilitation, assistance, etc. Article Title: A radial basis function neural network adaptive controller to drive a powered lower limb knee joint orthosis Article Snippet: This paper deals with the rehabilitation purposes using an active orthosis driven by an adaptive neural controller based on a Radial Basis Function Neural Network (RBFNN).. Two essential conditions are required in our study: ensuring the wearer safety and the good trajectory tracking.. We consider for our experiments the same movements often recommended by the doctor during therapy sessions. Article Title: Robust adaptive neuronal controller for exoskeletons with sliding-mode Article Snippet: .. The figure 4 shows our experimental setup based on a285 computer equipped with a Article Title: Finite-Time Control of an Actuated Orthosis Using Fast Terminal Sliding Mode Article Snippet: This paper deals with the controller of an active orthosis for rehabilitation reasons of the knee joint.. The dynamical model of the system, constituted of the shank and the orthosis is complex and is considered as unknown in the conception of the proposed controller.. The full security protocol has been carefully applied and we have selected a healthy person for our experiments. Article Title: Adaptive integral terminal sliding mode control for upper-limb rehabilitation exoskeleton Article Snippet: Control Engineering Practice 75 (2018) 108–117 Contents lists available at ScienceDirect Control Engineering Practice journal homepage: www.elsevier.com/locate/conengprac Adaptive integral terminal sliding mode control for upper-limb rehabilitation exoskeleton A. Riani a,*, T. Madani b, A. Benallegue a, K. Djouani b a Laboratoire d’Ingénierie des Systémes de Versailles, UVSQ, Université Paris-Saclay, 78140 Velizy, France b Laboratoire Images, Signaux et Systémes Intelligents, Université Paris-Est Créteil, 94400 Vitry sur Seine, France A R T I C L E I N F O Keywords: Adaptive control Sliding mode control Wearable robots Rehabilitation robotics Exoskeleton A B S T R A C T A robust adaptive integral terminal sliding mode control strategy is proposed in this paper to deal with unknown but bounded dynamic uncertainties of a nonlinear system.. This method is applied for the control of upper limb exoskeleton in order to achieve passive rehabilitation movements.. Indeed, exoskeletons are in direct interaction with the human limb and even if it is possible to identify the nominal dynamics of the exoskeleton, the subject’s limb dynamics remain typically unknown and defer from a person to another. Article Title: On the robust PID adaptive controller for exoskeletons: A particle swarm optimization based approach Article Snippet: This article proposes a Robust PID adaptive controller for nonlinear systems with one or more degrees of freedom (DoF).. The adaptive controller aims at minimizing the errors in trajectory tracking without requiring a prior modeling of the targeted nonlinear system.. Furthermore, the proposed controller requires only the inputs and outputs of the system. Sampling:Article Title: Adaptive integral terminal sliding mode control for upper-limb rehabilitation exoskeleton Article Snippet: Control Engineering Practice 75 (2018) 108–117 Contents lists available at ScienceDirect Control Engineering Practice journal homepage: www.elsevier.com/locate/conengprac Adaptive integral terminal sliding mode control for upper-limb rehabilitation exoskeleton A. Riani a,*, T. Madani b, A. Benallegue a, K. Djouani b a Laboratoire d’Ingénierie des Systémes de Versailles, UVSQ, Université Paris-Saclay, 78140 Velizy, France b Laboratoire Images, Signaux et Systémes Intelligents, Université Paris-Est Créteil, 94400 Vitry sur Seine, France A R T I C L E I N F O Keywords: Adaptive control Sliding mode control Wearable robots Rehabilitation robotics Exoskeleton A B S T R A C T A robust adaptive integral terminal sliding mode control strategy is proposed in this paper to deal with unknown but bounded dynamic uncertainties of a nonlinear system.. This method is applied for the control of upper limb exoskeleton in order to achieve passive rehabilitation movements.. Indeed, exoskeletons are in direct interaction with the human limb and even if it is possible to identify the nominal dynamics of the exoskeleton, the subject’s limb dynamics remain typically unknown and defer from a person to another. |