An extended direct scheme for robust adaptive nonlinear control
Automatica (Journal of IFAC)
Adaptive nonlinear control without overparametrization
Systems & Control Letters
Adaptive fuzzy systems and control: design and stability analysis
Adaptive fuzzy systems and control: design and stability analysis
Feedback linearization using neural networks
Automatica (Journal of IFAC)
A robust adaptive nonlinear control design
Automatica (Journal of IFAC)
Stable Adaptive Neural Network Control
Stable Adaptive Neural Network Control
Time-Delay Systems: Analysis, Optimization and Applications
Time-Delay Systems: Analysis, Optimization and Applications
Adaptive neural control of nonlinear time-delay systems with unknown virtual control coefficients
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Stable adaptive control using fuzzy systems and neural networks
IEEE Transactions on Fuzzy Systems
Automatica (Journal of IFAC)
Stabilisation of Cellular Neural Networks with time-varying delays and reaction-diffusion terms
International Journal of Intelligent Systems Technologies and Applications
International Journal of Intelligent Systems Technologies and Applications
IEEE Transactions on Neural Networks
International Journal of Automation and Computing
Brief paper: Adaptive stabilization of time-delay feedforward nonlinear systems
Automatica (Journal of IFAC)
International Journal of Automation and Computing
Expert Systems with Applications: An International Journal
Mathematical and Computer Modelling: An International Journal
Quantum Measurement-Based Feedback Control: A Nonsmooth Time Delay Control Approach
SIAM Journal on Control and Optimization
Composite adaptive posicast control for a class of LTI plants with known delay
Automatica (Journal of IFAC)
International Journal of Automation and Computing
Observer-based adaptive fuzzy control for a class of nonlinear time-delay systems
International Journal of Automation and Computing
Hi-index | 22.15 |
In this paper, robust adaptive control is presented for a class of parametric-strict-feedback nonlinear systems with unknown time delays. Using appropriate Lyapunov-Krasovskii functionals, the uncertainties of unknown time delays are compensated for. Controller singularity problems are solved by employing practical robust control and regrouping unknown parameters. By using differentiable approximation, backstepping design can be carried out for a class of nonlinear systems in strict-feedback form. It is proved that the proposed systematic backstepping design method is able to guarantee global uniform ultimate boundedness of all the signals in the closed-loop system and the tracking error is proven to converge to a small neighborhood of the origin. Simulation results are provided to show the effectiveness of the proposed approach.