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)
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
L2-L∞control of nonlinear fuzzy itô stochastic delay systems via dynamic output feedback
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Neural Networks
Direct adaptive fuzzy control for nonlinear systems with time-varying delays
Information Sciences: an International Journal
IEEE Transactions on Neural Networks
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
Adaptive backstepping fuzzy control for nonlinearly parameterized systems with periodic disturbances
IEEE Transactions on Fuzzy Systems
Fuzzy-approximation-based adaptive control of strict- feedback nonlinear systems with time delays
IEEE Transactions on Fuzzy Systems
Decentralized Output-Feedback Neural Control for Systems With Unknown Interconnections
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Adaptive Neural Control for a Class of Perturbed Strict-Feedback Nonlinear Time-Delay Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Robust adaptive neural control for a class of perturbed strict feedback nonlinear systems
IEEE Transactions on Neural Networks
Adaptive neural network control for a class of low-triangular-structured nonlinear systems
IEEE Transactions on Neural Networks
Robust Output Feedback Tracking Control for Time-Delay Nonlinear Systems Using Neural Network
IEEE Transactions on Neural Networks
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
| Hi-index | 0.01 |
This paper discusses the problem of adaptive fuzzy output feedback control for a class of uncertain stochastic nonlinear strict-feedback systems. The concerned systems have certain characteristics, such as unknown nonlinear functions, dynamical uncertainties, unknown control direction and unmeasured state variables. In this paper, the fuzzy logic systems are used to approximate the unknown nonlinear functions, and a filter state observer is developed for estimating the unmeasured states. To solve the problems of the dynamical uncertainties and the unknown control direction, the changing supply function and Nussbaum function techniques are incorporated into the backstepping recursive design technique, and a new robust adaptive fuzzy output feedback control approach is constructed. It is proved that the proposed control approach can guarantee that all the signals of the resulting closed-loop system are bounded in probability, and also that the observer errors and the output of the system can be regulated to a small neighborhood of the origin by choosing design parameters appropriately. A simulation example is provided to show the effectiveness of the proposed approach.