Extended dissipativity-based synchronization of uncertain chaotic neural networks with actuator failures

Title
Extended dissipativity-based synchronization of uncertain chaotic neural networks with actuator failures
Author(s)
박주현H. Shen[H. Shen]Z. Wu[Z. Wu]Z. Zhang[Z. Zhang]
Keywords
DISCRETE-TIME-SYSTEMS; MARKOV JUMP SYSTEMS; INFINITY CONTROL; DELAY SYSTEMS; MIXED DELAYS; STATE; OUTPUT; STABILITY; FAULTS; FILTER
Issue Date
201504
Publisher
PERGAMON-ELSEVIER SCIENCE LTD
Citation
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, v.352, no.4, pp.1722 - 1738
Abstract
This paper addresses the problem of extended dissipativity-based synchronization for chaotic neural networks with polytopic-type uncertainties and actuator failures. By using a parameter-dependent Lyapunov function and a novel extended dissipation inequality, a criterion is proposed to guarantee that the synchronization error system is extended (X, Y, Z)-dissipative for all admissible uncertainties and actuator failures. Based on this criterion, a desired fault-tolerant controller is designed, which takes the possible actuator failures into account. A numerical example is presented to show the effectiveness of our proposed design method. (C) 2015 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
URI
http://hdl.handle.net/YU.REPOSITORY/32772http://dx.doi.org/10.1016/j.jfranklin.2015.01.026
ISSN
0016-0032
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공과대학 > 전기공학과 > Articles
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