An extended direct scheme for robust adaptive nonlinear control
Automatica (Journal of IFAC)
Persistency of Excitation in Identification Using Radial Basis Function Approximants
SIAM Journal on Control and Optimization
Nonlinear and Adaptive Control Design
Nonlinear and Adaptive Control Design
Stable Adaptive Neural Network Control
Stable Adaptive Neural Network Control
Automatica (Journal of IFAC)
Information Sciences: an International Journal
Adaptive Neural Control for a Class of Perturbed Strict-Feedback Nonlinear Time-Delay Systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Adaptive neural network control for strict-feedback nonlinear systems using backstepping design
Automatica (Journal of IFAC)
Adaptive NN control of uncertain nonlinear pure-feedback systems
Automatica (Journal of IFAC)
Automatica (Journal of IFAC)
An ISS-modular approach for adaptive neural control of pure-feedback systems
Automatica (Journal of IFAC)
Robust backstepping control of induction motors using neural networks
IEEE Transactions on Neural Networks
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
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In this paper, direct adaptive neural tracking control is proposed for a class of completely non-affine pure-feedback nonlinear systems with only one mild assumption on affine terms, which are obtained using implicit function theorem and mean value theorem. To effectively remove the restriction of the upper bound on the affine terms, a smooth function is introduced to compensate the interconnected term of the former step in backstepping design. The proposed control scheme can not only guarantee the boundedness of all the signals in the closed-loop system and the tracking performance, but also provide a simple and effective way for controlling non-affine pure-feedback systems with a mild assumption. Simulation studies are given to demonstrate the effectiveness of the proposed scheme.