H∞ control for Markov jump systems with multi-timescale characteristic based on slow state feedback

This paper investigates the control problem of Markov jump systems with multi-time scales.Leveraging singular perturbation theory, a design method for a control protocol based on slow state feedback is presented.Moreover, by employing the Lyapunov stability theory and selecting a Lyapunov function associated with small singular perturbation parameter, several adequate requisites for the stability of the system are derived.The estimation method for the upper bound of singular perturbation parameters is also provided.Finally, a numerical simulation is conducted using Matlab software.The simulation results for the system with and without performance indicators are presented respectively, thus verifying the validity of the acquired conditions.

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Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1145/3731867.3731897
Primary Topic
Stability and Control of Uncertain Systems
Type
article
Field-Weighted Citation Impact
0.00

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Controls
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article

H∞ control for Markov jump systems with multi-timescale characteristic based on slow state feedback

Mengshen Chen, Kun Liang, Bijun Dai
Stability and Control of Uncertain Systems
article

H∞ control for Markov jump systems with multi-timescale characteristic based on slow state feedback

Mengshen Chen, Kun Liang, Bijun Dai
article en

Abstract

This paper investigates the control problem of Markov jump systems with multi-time scales.Leveraging singular perturbation theory, a design method for a control protocol based on slow state feedback is presented.Moreover, by employing the Lyapunov stability theory and selecting a Lyapunov function associated with small singular perturbation parameter, several adequate requisites for the stability of the system are derived.The estimation method for the upper bound of singular perturbation parameters is also provided.Finally, a numerical simulation is conducted using Matlab software.The simulation results for the system with and without performance indicators are presented respectively, thus verifying the validity of the acquired conditions.

University of Shanghai for Science and Technology (CN), Shanghai University of Electric Power (CN)
National Natural Science Foundation of China, Shanghai Municipal Education Commission
Openalex Percentile: Top 62%
Stability and Control of Uncertain Systems
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