Adaptive fuzzy systems and control: design and stability analysis
Adaptive fuzzy systems and control: design and stability analysis
Stable identification and adaptive control—a dynamic fuzzy logic system approach
Fuzzy evolutionary computation
Brief paper: Adaptive fuzzy decentralized control for interconnected MIMO nonlinear subsystems
Automatica (Journal of IFAC)
Robust adaptive fuzzy control of unknown chaotic systems
Applied Soft Computing
Adaptive fuzzy output tracking control for a class of uncertain nonlinear systems
Fuzzy Sets and Systems
Information Sciences: an International Journal
Robust adaptive control for mobile manipulators
International Journal of Automation and Computing
Adaptive terminal sliding mode control for rigid robotic manipulators
International Journal of Automation and Computing
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Adaptive Fuzzy Output Tracking Control of MIMO Nonlinear Uncertain Systems
IEEE Transactions on Fuzzy Systems
Observer-based adaptive fuzzy control for a class of nonlinear time-delay systems
International Journal of Automation and Computing
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This paper presents an observer based dynamic fuzzy logic system (DFLS) scheme for a class of unknown single-input single-output (SISO) nonlinear dynamic systems with external disturbances. The proposed approach does not need the availability of the state variables. Within this scheme, the DFLS is employed to identify the unknown nonlinear dynamic system. The control law and parameter adaptation laws of the DFLS are derived based on Lyapunov synthesis approach. The control law is robustfied in H 驴 sense to attenuate external disturbance, model uncertainties, and fuzzy approximation errors. It is shown that under appropriate assumptions, it guarantees the boundedness of all the signals in the closed-loop system and the asymptotic convergence to zero of tracking errors. The proposed method is applied to an inverted pendulum system to verify the effectiveness of the proposed algorithms.