Nonlinear control systems: an introduction (2nd ed.)
Nonlinear control systems: an introduction (2nd ed.)
Adaptive nonlinear control without overparametrization
Systems & Control Letters
Feedback linearization using neural networks
Automatica (Journal of IFAC)
Adaptive robust control of SISO nonlinear systems in a semi-strict feedback form
Automatica (Journal of IFAC)
Nonlinear and Adaptive Control Design
Nonlinear and Adaptive Control Design
International Journal of Systems Science
Automatica (Journal of IFAC)
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Adaptive neural control of nonlinear time-delay systems with unknown virtual control coefficients
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
An improved stable adaptive fuzzy control method
IEEE Transactions on Fuzzy Systems
An approach to adaptive control of fuzzy dynamic systems
IEEE Transactions on Fuzzy Systems
Adaptive fuzzy robust tracking controller design via small gain approach and its application
IEEE Transactions on Fuzzy Systems
Adaptive NN control of uncertain nonlinear pure-feedback systems
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
Robust redesign of a neural network controller in the presence of unmodeled dynamics
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Adaptive neural network dynamic surface control for perturbed nonlinear time-delay systems
International Journal of Automation and Computing
Adaptive control for nonlinear MIMO time-delay systems based on fuzzy approximation
Information Sciences: an International Journal
Adaptive fuzzy tracking control of nonlinear MIMO systems with time-varying delays
Fuzzy Sets and Systems
Information Sciences: an International Journal
Information Sciences: an International Journal
Information Sciences: an International Journal
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A robust adaptive tracking control approach is presented for a class of strict-feedback single-input-single-output nonlinear systems. By employing radial-basis-function neural networks to account for system uncertainties, the proposed scheme is developed by combining "dynamic surface control" and "minimal learning parameter" techniques. The key features of the algorithm are that, first, the problem of "explosion of complexity" inherent in the conventional backstepping method is avoided, second, the number of parameters updated online for each subsystem is reduced to 2, and, third, the possible controller singularity problem in the approximation-based adaptive control schemes with feedback linearization technique is removed. These features result in a much simpler adaptive control algorithm, which is convenient to implement in applications. In addition, it is shown via input-to-state stability theory and small gain approach that all signals in the closed-loop system are semiglobal uniformly ultimately bounded. Finally, three simulation examples are used to demonstrate the effectiveness of the proposed scheme.