RBF Network with Sliding-Mode Control for Chaos Systems
作者： Yeong-Chin Chen , Lon-Chen Hung , Shuh-Han Chao
DOI: 10.1007/978-3-642-22418-8_37
关键词:
摘要: In this paper a robust intelligent RBF neural network tracking control system combined with distance-based sliding-mode technique is proposed for class of chaos systems. The adaptive scheme developed chaotic systems unknown bounded uncertainties. adaptation laws are derived using Lyapunov stability analysis, so that both and error convergence can be guaranteed in the closed-loop system. It used to demonstrate effectiveness performance technique.
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