Adaptive fuzzy systems and control: design and stability analysis
Adaptive fuzzy systems and control: design and stability analysis
SIAM Journal on Control and Optimization
Decentralized adaptive output-feedback stabilization for large-scale stochastic nonlinear systems
Automatica (Journal of IFAC)
Adaptive backstepping controller design using stochastic small-gain theorem
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Fuzzy filter design for itô stochastic systems with application to sensor fault detection
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Neural Networks
Technical communique: Sliding mode control of singular stochastic hybrid systems
Automatica (Journal of IFAC)
IEEE Transactions on Fuzzy 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 Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on game theory
Stabilization for T-S model based uncertain stochastic systems
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Design of Robust Adaptive Controllers for Nonlinear Systems with Dynamic Uncertainties
Automatica (Journal of IFAC)
Output Feedback Stabilization for Time-Delay Nonlinear Interconnected Systems Using Neural Networks
IEEE Transactions on Neural Networks
Adaptive Output-Feedback Fuzzy Tracking Control for a Class of Nonlinear Systems
IEEE Transactions on Fuzzy Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Sliding mode control for stochastic systems subject to packet losses
Information Sciences: an International Journal
Automatica (Journal of IFAC)
Adaptive control for nonlinear MIMO time-delay systems based on fuzzy approximation
Information Sciences: an International Journal
Network-based H∞ output feedback control for uncertain stochastic systems
Information Sciences: an International Journal
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This paper studies the problem of adaptive fuzzy decentralized output feedback control for a class of uncertain stochastic large-scale nonlinear systems. The considered systems have unknown nonlinear functions, unknown dead-zones, unmodeled dynamics and unmeasurable state variables. Therefore, fuzzy logic systems are utilized to approximate the unknown nonlinear functions, and a fuzzy state observer is established to estimate the unmeasurable states. Based on the backstepping design and the supply changing function technique, a robust adaptive fuzzy decentralized output feedback control approach is developed. The proposed control approach can ensure the closed-loop system to be input-state-practically stable (ISpS) in probability, and accommodate the unmodeled dynamics and unknown dead-zones as well. The effectiveness of the proposed control approach is illustrated by a simulation example.