A course in fuzzy systems and control
A course in fuzzy systems and control
Fuzzy logic: intelligence, control, and information
Fuzzy logic: intelligence, control, and information
Microsystem design
Fuzzy Modeling for Control
Introduction to Robotics: Mechanics and Control
Introduction to Robotics: Mechanics and Control
Fuzzy-enhanced Adaptive Control for Flexible Drive System with Friction Using Genetic Algorithms
Journal of Intelligent and Robotic Systems
Stable Adaptive Control and Estimation for Nonlinear Systems: Neural and Fuzzy Approximation Techniques
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This paper considers the control of a linear drive system with friction and disturbance compensation. A stable adaptive controller integrated with fuzzy model-based friction estimation and switching-based disturbance compensation is proposed via Lyapunov stability theory. A TSK fuzzy model with local linear friction models is suggested for real-time estimation of its consequent local parameters. The parameters update law is derived based on linear parameterization. In order to compensate for the effects resulting from estimation error and disturbance, a robust switching law is incorporated in the overall stable adaptive control system. Extensive computer simulation results show that the proposed stable adaptive fuzzy control system has very good performances, and is potential for precision positioning and trajectory tracking control of linear drive systems.