期刊
COMMUNICATIONS IN NONLINEAR SCIENCE AND NUMERICAL SIMULATION
卷 29, 期 1-3, 页码 359-371出版社
ELSEVIER SCIENCE BV
DOI: 10.1016/j.cnsns.2015.05.011
关键词
Neural networks; Exponential synchronization; Adaptive feedback control; Multi-delayed; Stochastic noise
类别
资金
- Natural Science Foundation of Shanghai [15ZR1419000, 15ZR1401800]
- Youth Fund Project of Humanities and Social Science Research for Ministry of Education of China [14YJCZH173]
- Science and Technology Research Key Program for Education Department of Hubei Province of China [D20155001, D20156001]
- Science and Technology Research Youth Project for Education Department of Hubei Province of China [Q20145001]
This paper is concerned with the adaptive exponential synchronization problem for stochastic neural networks with multi-delayed and Markovian switching. A new method called M-matrix method, very different to the linear matrix inequality (LMI) method, has been proposed to solve the above problem. Meanwhile, some sufficient conditions for the exponential stability of the error system are derived. The feedback gain update laws are given by the adaptive control technique. Finally, two simulation examples are provided to demonstrate the effectiveness and applicability of the proposed design method. (C) 2015 Elsevier B.V. All rights reserved.
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