New Stabilization Results for Semi-Markov Chaotic Systems with Fuzzy Sampled-Data Control

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2019
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Abstract
This paper investigates the problem of stabilization for semi-Markov chaotic systems with fuzzy sampled-data controllers, in which the semi-Markov jump has generally uncertain transition rates. The exponential stability condition is firstly obtained by the following two main techniques: To make full use of the information about the actual sampling pattern, a novel augmented input-delay-dependent Lyapunov–Krasovskii functional (LKF) is firstly introduced. Meanwhile, a new zero-value equation is established to increase the combinations of component vectors of the resulting vector. The corresponding fuzzy sampled-data controllers are designed based on the stability condition. Finally, the validity and merits of the developed theories are shown by two numerical examples.
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wu2019newcomplexity Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Wu, Tao;Cao, Jinde;Xiong, Lianglin;Zhang, Haiyang;
Journal complexity
Year 2019
DOI
DOI not found
URL
http://dx.doi.org/10.1155/2019/7875305
Keywords
Technology Mechanical engineering and machinery Science physics telecommunication electronics electronic computers. computer science geophysics. cosmic physics

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