Title :
Delay-Dependent Stability Analysis for Switched Neural Networks With Time-Varying Delay
Author :
Wu, Zheng-Guang ; Shi, Peng ; Su, Hongye ; Chu, Jian
Author_Institution :
Nat. Lab. of Ind. Control Technol., Zhejiang Univ., Hangzhou, China
Abstract :
In this paper, the problem of stability analysis is investigated for switched neural networks with time-varying delay using linear matrix inequality (LMI) approach. By taking advantage of the average dwell time method, two sufficient conditions are developed to ensure the global exponential stability of the considered neural networks, which are delay-dependent and formulated by LMIs. The state decay estimate is explicitly given. Numerical examples are provided to demonstrate the effectiveness and feasibility of the proposed techniques.
Keywords :
asymptotic stability; delays; linear matrix inequalities; neural nets; time-varying systems; LMI; average dwell time method; delay-dependent stability analysis; global exponential stability; linear matrix inequality; switched neural networks; time-varying delay; Artificial neural networks; Linear matrix inequalities; Stability criteria; Switched systems; Symmetric matrices; Time varying systems; Exponential stability; linear matrix inequality (LMI); neural networks; switched systems; time-varying delay;
Journal_Title :
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
DOI :
10.1109/TSMCB.2011.2157140
