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Volume 5 Issue 2
Mar.  2018

IEEE/CAA Journal of Automatica Sinica

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    CiteScore: 23.5, Top 2% (Q1)
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Article Contents
Jufeng Wang and Chunfeng Liu, "Stabilization of Uncertain Systems With Markovian Modes of Time Delay and Quantization Density," IEEE/CAA J. Autom. Sinica, vol. 5, no. 2, pp. 463-470, Mar. 2018. doi: 10.1109/JAS.2017.7510823
Citation: Jufeng Wang and Chunfeng Liu, "Stabilization of Uncertain Systems With Markovian Modes of Time Delay and Quantization Density," IEEE/CAA J. Autom. Sinica, vol. 5, no. 2, pp. 463-470, Mar. 2018. doi: 10.1109/JAS.2017.7510823

Stabilization of Uncertain Systems With Markovian Modes of Time Delay and Quantization Density

doi: 10.1109/JAS.2017.7510823
Funds:

Humanities and Social Sciences Youth Foundation of the Ministry of Education 17YJC630093

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  • This work studies the stabilization of a class of control systems that use communication networks as signal transmission medium. The lateral motion of independently actuated four-wheel vehicle is modeled as an uncertain-linear system. Time delay and quantization density are modeled as Markov chains. The networked control systems (NCSs) with plants being lateral motion are first transformed to switched linear systems with uncertain parameters. Sufficient and necessary conditions for the stochastic stability of closed-loop networked control systems are then established. By solving the matrix inequalities, this work presents an output-feedback controller that depends on the modes of time delay and quantization density. The controller performance is illustrated via a vehicular lateral motion system.

     

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