Neural network hybrid adaptive control for nonlinear uncertain impulsive dynamical systems

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• 作者：Tomohisa Hayakawa ; Wassim M. Haddad ; Konstantin Y. Volyanskyy
• 关键词：Hybrid adaptive control ; Neural networks ; Nonlinear hybrid systems ; Impulsive dynamical systems ; System uncertainty ; Stabilization ; Sector-bounded nonlinearities
• 刊名：Nonlinear Analysis: Hybrid Systems
• 出版年：2008
• 出版时间：August 2008
• 年：2008
• 卷：2
• 期：3
• 页码：862-874
• 全文大小：730 K

文摘

A neural network hybrid adaptive control framework for nonlinear uncertain hybrid dynamical systems is developed. The proposed hybrid adaptive control framework is Lyapunov-based and guarantees partial asymptotic stability of the closed-loop hybrid system; that is, asymptotic stability with respect to part of the closed-loop system states associated with the hybrid plant states. A numerical example is provided to demonstrate the efficacy of the proposed hybrid adaptive stabilization approach.