Neural Networks Variable Structure Control for Nonlinear Time-delay Systems Based on Robust Control

Combined neural networks, sliding model variable structure control with robust H
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control theory, the control problems of complex systems were studied. A new control strategy is proposed for a class of nonlinear time-delay systems. By adding a neural networks sliding model compensate controller, this scheme can guarantee the systems, which have uncertain terms and disturbance, to be stable. Made use of nonlinear approximate ability of neural networks, the control problems of complex systems - existing unrestricted nonlinear disturbance is solved very well. Compared with the existing the research findings, this control scheme has better adaptivity and robustness. The simulation results indicate that the controller is effective