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Image Search Results
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
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 system model is developed in
Techniques: Comparison, Control