Foundations of robotics: analysis and control
Foundations of robotics: analysis and control
Adaptive fuzzy sliding mode control for flexible satellite
Engineering Applications of Artificial Intelligence
An adaptive fuzzy controller based on sliding mode for robotmanipulators
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
An adaptive fuzzy sliding mode controller for robotic manipulators
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Decoupled fuzzy sliding-mode control
IEEE Transactions on Fuzzy Systems
Sliding mode-like fuzzy logic control with self-tuning the dead zone parameters
IEEE Transactions on Fuzzy Systems
Fuzzy sliding mode autopilot design for nonminimum phase and nonlinear UAV
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Recent Advances in Soft Computing: Theories and Applications
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A robust fuzzy output sliding control for nonlinear robotic arms is proposed in this paper. The proposed method not only retains the advantages of the conventional sliding mode control such as robustness against parameter variations and external disturbances, but also uses measurable output signals to define the sliding surface function. A fuzzy controller is developed to modify the control law to avoid state measurement. Control system stability is proved by using the Lyapunov stability theorem. The system robustness is guaranteed. Simulations results demonstrate the validity and effectiveness of the proposed method for uncertain nonlinear robotic arms.