Persistency of Excitation in Identification Using Radial Basis Function Approximants
SIAM Journal on Control and Optimization
A robust adaptive nonlinear control design
Automatica (Journal of IFAC)
Stochastic nonlinear stabilization—I: a backstepping design
Systems & Control Letters
SIAM Journal on Control and Optimization
Nonlinear and Adaptive Control Design
Nonlinear and Adaptive Control Design
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)
Information Sciences: an International Journal
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
Observer-based fuzzy adaptive control for strict-feedback nonlinear systems
Fuzzy Sets and Systems
Brief paper: Direct adaptive fuzzy control of nonlinear strict-feedback systems
Automatica (Journal of IFAC)
Novel robust stability criteria for stochastic hopfield neural networks with time delays
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
Information Sciences: an International Journal
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
Exponential stability on stochastic neural networks with discrete interval and distributed delays
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
IEEE Transactions on Fuzzy Systems
Adaptive tracking control of uncertain MIMO nonlinear systems with input constraints
Automatica (Journal of IFAC)
Information Sciences: an International Journal
Adaptive neural network control of nonlinear systems by state andoutput feedback
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Globally stable adaptive system design for minimum phase SISO plants with input saturation
Automatica (Journal of IFAC)
An ISS-modular approach for adaptive neural control of pure-feedback systems
Automatica (Journal of IFAC)
Robust adaptive neural control for a class of perturbed strict feedback nonlinear systems
IEEE Transactions on Neural Networks
Adaptive neural control of uncertain MIMO nonlinear systems
IEEE Transactions on Neural Networks
Neural network control of a class of nonlinear systems with actuator saturation
IEEE Transactions on Neural Networks
Gaussian networks for direct adaptive control
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
IEEE Transactions on Fuzzy Systems
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
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In this paper, the problem of adaptive neural tracking control is considered for a class of single-input/single-output (SISO) strict-feedback stochastic nonlinear systems with input saturation. To deal with the non-smooth input saturation nonlinearity, a smooth nonaffine function of the control input signal is used to approximate the input saturation function. Classical adaptive technique and backstepping are used for control synthesis. Based on the mean-value theorem, a novel adaptive neural control scheme is systematically derived without requiring the prior knowledge of bound of input saturation. It is shown that under the action of the proposed adaptive controller all the signals of the closed-loop system remain bounded in probability and the tracking error converges to a small neighborhood around the origin in the sense of mean quartic value. Two simulation examples are provided to demonstrate the effectiveness of the presented results.