Adaptive fuzzy systems and control: design and stability analysis
Adaptive fuzzy systems and control: design and stability analysis
Robust servomechanism output feedback controllers for feedback linearizable systems
Automatica (Journal of IFAC)
Nonlinear and Adaptive Control Design
Nonlinear and Adaptive Control Design
Fuzzy approximate disturbance decoupling of MIMO nonlinear systems by backstepping approach
Fuzzy Sets and Systems
Automatica (Journal of IFAC)
Information Sciences: an International Journal
Observer-based fuzzy adaptive control for strict-feedback nonlinear systems
Fuzzy Sets and Systems
Fuzzy adaptive observer backstepping control for MIMO nonlinear systems
Fuzzy Sets and Systems
A combined backstepping and small-gain approach to robust adaptive fuzzy output feedback control
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Adaptive observers for TS fuzzy systems with unknown polynomial inputs
Fuzzy Sets and Systems
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
Fuzzy adaptive high-gain-based observer backstepping control for SISO nonlinear systems
Information Sciences: an International Journal
Modeling, identification, and control of a class of nonlinear systems
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Fuzzy Systems
Adaptive Fuzzy Output Tracking Control of MIMO Nonlinear Uncertain Systems
IEEE Transactions on Fuzzy Systems
Adaptive Control of a Class of Nonlinear Pure-Feedback Systems Using Fuzzy Backstepping Approach
IEEE Transactions on Fuzzy Systems
Almost disturbance decoupling of MIMO nonlinear systems and application to chemical processes
Automatica (Journal of IFAC)
Adaptive neural control of uncertain MIMO nonlinear systems
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
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The problem of disturbance decoupling with internal stability is investigated for a class of multi-input-multi-output (MIMO) nonlinear systems in strict-feedback form. The considered nonlinear system contains unknown nonlinear uncertainties and unmeasured states. Fuzzy logic systems are first utilized to approximate the unknown nonlinear uncertainties, and then a high-gain state observer is established to estimate the unmeasured states. Based on the backstepping design approach and combining with dynamic surface control (DSC) technique, a new fuzzy adaptive output feedback control scheme is constructed. It is proved that the proposed control scheme can not only achieve internal stability of the closed-loop system, but also diminish the effect of the disturbance on output in the sense of L"2 gain. In addition, since DSC is introduced into the backstepping design, the proposed control scheme can overcome the problem of ''explosion of complexity'' inherent in the traditional backstepping design. Simulation results and comparisons with the previous methods are included to indicate that the proposed adaptive fuzzy control approach has a satisfactory control performance.