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摘要
This paper is concerned to present a direct adaptive neural control scheme for switched nonlinear systems with unknown constant control gain Multilayer neural networks (MNNs) are used as a tool for modeling nonlinear functions up to a small error tolerance The adaptive updated laws have been derived from the switched multiple Lyapunov function method also an admissible switching signal with average dwell-time technique is given It is proved that the resulting closed-loop system is asymptotically Lyapunov stable such that the output tracking error performance is will obtained Finally a sim
