Analysis and design of networked control systems with random Markovian delays and uncertain transition probabilities (Q1724232)

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scientific article; zbMATH DE number 7022473
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Analysis and design of networked control systems with random Markovian delays and uncertain transition probabilities
scientific article; zbMATH DE number 7022473

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    Analysis and design of networked control systems with random Markovian delays and uncertain transition probabilities (English)
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    14 February 2019
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    Summary: This paper focuses on the stability issue of discrete-time networked control systems with random Markovian delays and uncertain transition probabilities, wherein the random time delays exist in the sensor-to-controller and controller-to-actuator. The resulting closed-loop system is modeled as a discrete-time Markovian delays system governed by two Markov chains. Using Lyapunov stability theory, a result is established on the Markovian structure and ensured that the closed-loop system is stochastically stable. A simulation example illustrates the validity and feasibility of the results.
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    discrete-time networked control systems
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    random Markovian delays
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    uncertain transition probabilities
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    state feedback stabilization
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