Information Sciences—Informatics and Computer Science: An International Journal
Adaptive fuzzy control for a class of uncertain nonaffine nonlinear systems
Information Sciences: an International Journal
International Journal of Systems, Control and Communications
Fuzzy adaptive backstepping robust control for SISO nonlinear system with dynamic uncertainties
Information Sciences: an International Journal
Adaptive fuzzy output tracking control for a class of uncertain nonlinear systems
Fuzzy Sets and Systems
Intelligent robust tracking control for a class of uncertain strict-feedback nonlinear systems
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics - Special issue on human computing
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Neural Networks
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
Adaptive fuzzy tracking control for a class of uncertain nonlinear systems
CCDC'09 Proceedings of the 21st annual international conference on Chinese Control and Decision Conference
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
Information Sciences: an International Journal
Information Sciences: an International Journal
International Journal of Automation and Computing
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part I
Adaptive tracking control for a class of perturbed nonlinear time-delay systems
AICI'11 Proceedings of the Third international conference on Artificial intelligence and computational intelligence - Volume Part II
ISNN'06 Proceedings of the Third international conference on Advnaces in Neural Networks - Volume Part II
Robust adaptive fuzzy control for uncertain nonlinear systems
FSKD'05 Proceedings of the Second international conference on Fuzzy Systems and Knowledge Discovery - Volume Part I
Research on a direct adaptive neural network control method of nonlinear systems
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
Output feedback adaptive robust NN control for a class of nonlinear discrete-time systems
ISNN'13 Proceedings of the 10th international conference on Advances in Neural Networks - Volume Part II
Information Sciences: an International Journal
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This paper presents a robust adaptive neural control design for a class of perturbed strict feedback nonlinear system with both completely unknown virtual control coefficients and unknown nonlinearities. The unknown nonlinearities comprise two types of nonlinear functions: one naturally satisfies the "triangularity condition" and can be approximated by linearly parameterized neural networks, while the other is assumed to be partially known and consists of parametric uncertainties and known "bounding functions." With the utilization of iterative Lyapunov design and neural networks, the proposed design procedure expands the class of nonlinear systems for which robust adaptive control approaches have been studied. The design method does not require a priori knowledge of the signs of the unknown virtual control coefficients. Leakage terms are incorporated into the adaptive laws to prevent parameter drifts due to the inherent neural-network approximation errors. It is proved that the proposed robust adaptive scheme can guarantee the uniform ultimate boundedness of the closed-loop system signals.. The control performance can be guaranteed by an appropriate choice of the design parameters. Simulation studies are included to illustrate the effectiveness of the proposed approach.