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Indexed by:会议论文

Date of Publication:2017-01-01

Included Journals:SCIE、EI、CPCI-S、Scopus

Page Number:4093-4098

Key Words:Switched Neural Networks; Affine Systems; Sampled-data Control

Abstract: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.