Network-Based Quantized Control for Fuzzy Singularly Perturbed Semi-Markov Jump Systems and its Application

This paper deals with the quantized control problem for nonlinear semi-Markov jump systems subject to singular perturbation under a network-based framework. The nonlinearity of the system is well solved by applying Takagi-Sugeno (T-S) fuzzy theory. The semi-Markov jump process with the memory matrix...

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Vydané v:	IEEE transactions on circuits and systems. I, Regular papers Ročník 66; číslo 3; s. 1130 - 1140
Hlavní autori:	Shen, Hao, Men, Yunzhe, Wu, Zheng-Guang, Cao, Jinde, Lu, Guoping
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.03.2019 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Collective intelligence Control stability Control systems Control systems design D C motors Data models Electric motors Fuzzy control Fuzzy systems Markov processes networked control systems Nonlinear control Nonlinear systems Nonlinearity packet dropouts Quantization (signal) Semi-Markov jump systems signal quantization Singular perturbation singularly perturbed systems Stability analysis T-S fuzzy control Transition probabilities Upper bounds
ISSN:	1549-8328, 1558-0806
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