A note on universal approximation by hierarchical fuzzy systems
Information Sciences: an International Journal - Special issue analytical theory of fuzzy control with applications
Nonlinear and Adaptive Control Design
Nonlinear and Adaptive Control Design
Information Sciences: an International Journal
Brief paper: Novel adaptive neural control design for nonlinear MIMO time-delay systems
Automatica (Journal of IFAC)
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Direct adaptive fuzzy control for nonlinear systems with time-varying delays
Information Sciences: an International Journal
A DSC approach to robust adaptive NN tracking control for strict-feedback nonlinear systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
IEEE Transactions on Fuzzy Systems
Information Sciences: an International Journal
Information Sciences: an International Journal
Decentralized Output-Feedback Neural Control for Systems With Unknown Interconnections
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Decentralized adaptive tracking control of nonaffine nonlinear large-scale systems with time delays
Information Sciences: an International Journal
Robust Output Feedback Tracking Control for Time-Delay Nonlinear Systems Using Neural Network
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Adaptive Neural Control of Pure-Feedback Nonlinear Time-Delay Systems via Dynamic Surface Technique
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Adaptive control for nonlinear MIMO time-delay systems based on fuzzy approximation
Information Sciences: an International Journal
Information Sciences: an International Journal
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This paper discusses the adaptive fuzzy decentralized output-feedback control problem for a class of nonlinear large-scale systems. The systems under study have unknown nonlinearities, mismatched interconnections in control inputs, and unmeasurable state variables. Therefore, fuzzy logic systems are employed to approximate the unknown nonlinear functions in the control design; and an adaptive high-gain observer is established to estimate the unmeasured states. Based on the backstepping design technique and the dynamic surface control (DSC) approach, a novel adaptive fuzzy decentralized output-feedback control scheme is developed. It is proved that the proposed control approach can ensure that all the signals of the closed-loop system are semi-globally uniformly ultimately bounded (SUUB) and the observer error and tracking error can all converge to a small neighborhood of the origin. The effectiveness of the proposed approach is illustrated by simulation examples with comparisons with several existing methods.