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论文类型：会议论文

发表时间：2017-01-01

收录刊物：SCIE、EI、CPCI-S、Scopus

页面范围：4093-4098

关键字：Switched Neural Networks; Affine Systems; Sampled-data Control

摘要：This paper investigates the problem of stabilization for switched affine neural networks with a sampled-data switching rule. the sampling interval may be variable and uncertain. The switching law is considered as a function of the system state at sampling instants. The single and multiple Lyapunov function methods are employed to design the switching rule respectively. Sufficient conditions are given in terms of linear matrix inequalities to guarantee the practical stability of such systems. Two examples illustrate the effectiveness of the obtained results.