Novel results on finite-time stabilization of state-based switched chaotic inertial neural networks with distributed delays
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Published on: March 2, 2015
Changqing Long1, Guodong Zhang1, Zhigang Zeng2
1School of Mathematics and statistics, South-Central University For Nationalities, Wuhan 430074, China.
Abstract:
The p-norm finite-time stabilization (FTS) issue of a class of state-based switched inertial chaotic neural networks (SBSCINNs) with distributed time-varying delays is investigated. By using a suitable variable transformation, such second-order SBSCINNs are turned into the first-order differential equations. Then some novel criteria are obtained to stabilize SBSCINNs in a finite time based on the theory of finite-time control and non-smooth analysis together with designing two proper delay-dependent feedback controllers. Besides, the settling time of FTS is also estimated and discussed. Finally, the validity and practicability of the deduced theoretical results are verified by examples and applications.
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