Nonlinear and Adaptive Control Design
Nonlinear and Adaptive Control Design
Adaptive Systems with Reduced Models
Adaptive Systems with Reduced Models
Approximation-based control of nonlinear MIMO time-delay systems
Automatica (Journal of IFAC)
Information Sciences: an International Journal
Wavelet neural networks for function learning
IEEE Transactions on Signal Processing
Adaptive neural control of nonlinear time-delay systems with unknown virtual control coefficients
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Practical adaptive neural control of nonlinear systems with unknown time delays
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
IEEE Transactions on Neural Networks
Adaptive neural control for a class of nonlinearly parametric time-delay systems
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
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This brief proposes a simple control approach for a class of uncertain nonlinear systems with unknown time delays in strict-feedback form. That is, the dynamic surface control technique, which can solve the "explosion of complexity" problem in the backstepping design procedure, is extended to nonlinear systems with unknown time delays. The unknown time-delay effects are removed by using appropriate Lyapunov-Krasovskii functionals, and the uncertain nonlinear terms generated by this procedure as well as model uncertainties are approximated by the function approximation technique using neural networks. In addition, the bounds of external disturbances are estimated by the adaptive technique. From the Lyapunov stability theorem, we prove that all signals in the closed-loop system are semiglobally uniformly bounded. Finally, we present simulation results to validate the effectiveness of the proposed approach.