Journal: Engineering Applications of Artificial Intelligence

Article Title: Combining model-based and learning-based anomaly detection schemes for increased performance and safety of aircraft braking controllers

doi: 10.1016/j.engappai.2024.109551

Figure Lengend Snippet: Fig. 2. Single-wheel rigid body model geometry representation in the Simscape environment. (a) Front view. (b) Lateral view.

Article Snippet: The specific simulation environment chosen to represent the dynamics of interest is the MATLAB-Simulink Simscape Multibody environment.

Techniques:

Journal: Frontiers in Robotics and AI

Article Title: Model-Based Nonlinear Feedback Controllers for Pressure Control of Soft Pneumatic Actuators Using On/Off Valves

doi: 10.3389/frobt.2022.818187

Figure Lengend Snippet: Simulation results for the comparison of nonlinear control strategies using the Simscape Fluids model: tracking performance, tracking error and control input for square wave with T = 2 s. (A) SDRE control: Q = 5 and R = 10 , u ~ is the feedback term, u d is the feedforward term, and u F i n a l is the control applied to the valve after saturation. (B) Integral augmented sliding mode control: k s = 0.6 , k i = 0.01 and Φ = 0.2 , u s is the discontinuous term, u ^ is the equivalent control, and u F i n a l is the control applied to the valve after saturation. (C) Feedback linearization with integral action: k = 8 and k i = 0.01 , v is the linear control term, u N o n L i n is the total control, and u F i n a l is the control applied to the valve after saturation. (D) PI controller with feedforward and anti-windup: k p = 5 and k i = 0.5 , u P I is the PI control term, u F F is the feedforward term, and u F i n a l is the control applied to the valve after saturation.

Article Snippet: The control strategies are evaluated on a simulation model developed in Simscape Fluids and also experimentally on a bending soft pneumatic actuator using an Arduino Due and Simulink.

Techniques: Comparison, Control

Journal: Energies

Article Title: Multi-Agent System Fault Protection with Topology Identification in Microgrids

doi: 10.3390/en10010028

Figure Lengend Snippet: Figure 4. Flowchart for implementation of proposed fault protection for MAS-based microgrid control.

Article Snippet: The studied test microgrid system in this work was simulated in Matlab/Simulink (ver.R2012a) using Simscape—simPowerSystems component libraries.

Techniques: Control

Journal: Energies

Article Title: Multi-Agent System Fault Protection with Topology Identification in Microgrids

doi: 10.3390/en10010028

Figure Lengend Snippet: Figure 6. Single line diagram of the test microgrid system with MAS.

Article Snippet: The studied test microgrid system in this work was simulated in Matlab/Simulink (ver.R2012a) using Simscape—simPowerSystems component libraries.

Techniques: