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Tracking control of nonlinear uncertain Chua's chaotic systems is studied. Based on coordinate transform, the paper deduced the principle with which Chua's chaotic system can be translated into the so-called general strict-feedback form. Combining the back stepping method with robust control technology, an adaptive parameter control law is developed and thus the output tracking is successfully accomplished...
For a missile system with both input unmodeled dynamics and uncertainties, a robust adaptive controller based on RBF neural networks and backstepping technique is proposed. Two RBF neural networks are firstly designed to approximate the input unmodeled dynamics and its inversion. By introducing adaptive control technique, uncertainties are estimated by adaptive law. Then, adaptive tuning law of weight...
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