JOURNAL ARTICLE

Robust observer-based control for discrete-time semi-Markov jump systems with actuator saturation

Yueyuan ZhangYanyan YinFei Liu

Year: 2020 Journal:   Journal of Industrial and Management Optimization Vol: 17 (6)Pages: 3013-3013   Publisher: American Institute of Mathematical Sciences

Abstract

<p style='text-indent:20px;'>This paper investigates the control synthesis for discrete-time semi-Markov jump systems with nonlinear input. Observer-based controllers are designed in this paper to achieve a better performance and robustness. The nonlinear input caused by actuator saturation is considered as a group of linear controllers in the convex hull. Moreover, the elapse time and mode dependent Lyapunov functions are investigated and sufficient conditions are derived to guarantee the <inline-formula><tex-math id="M1">\begin{document}$ H_\infty $\end{document}</tex-math></inline-formula> performance index. The largest domain of attraction is estimated as the existing saturation in the system. Finally, a numerical example is utilized to verify the effectiveness and feasibility of the developed strategy.</p>

Keywords:
Control theory (sociology) Nonlinear system Discrete time and continuous time Lyapunov function Mathematics Convex hull Actuator Markov chain Robustness (evolution) Computer science Jump Saturation (graph theory) Regular polygon Mathematical optimization Control (management) Statistics Combinatorics

Metrics

1
Cited By
0.15
FWCI (Field Weighted Citation Impact)
33
Refs
0.43
Citation Normalized Percentile
Is in top 1%
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Citation History

Topics

Advanced Control Systems Optimization
Physical Sciences →  Engineering →  Control and Systems Engineering
Stability and Control of Uncertain Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Stability and Controllability of Differential Equations
Physical Sciences →  Engineering →  Control and Systems Engineering

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