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

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ID: 69769
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.
Reference Key
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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