Spatiotemporal event-triggered anti-disturbance control for Markov jump LPV-PDE systems via disturbance observer

This paper proposes a disturbance observer-based spatiotemporal event-triggered anti-disturbance control method for Markov jump linear parameter-varying partial differential equation (LPV-PDE) systems subject to disturbances. Based on the Takagi–Sugeno (T–S) fuzzy model, the original nonlinear system is approximated as a fuzzy LPV-PDE system. To reduce the number of sensors, pointwise measurements are introduced, based on which a spatiotemporal event-triggered mechanism is employed to alleviate the communication burden. Furthermore, a disturbance observer is developed to estimate the unknown disturbances modeled by an exogenous system. A fuzzy anti-disturbance point controller is then designed by combining the observer output with traditional state feedback. Sufficient conditions for the fuzzy LPV-PDE system to be exponentially stable are given by constructing a Lyapunov–Krasovskii functional (LKF). Finally, a numerical example is presented to demonstrate the effectiveness of the proposed strategy.

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Publication Details

Journal
Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering
Published
2026-02-22
DOI
https://doi.org/10.1177/09596518261416995
Primary Topic
Stability and Control of Uncertain Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

Spatiotemporal event-triggered anti-disturbance control for Markov jump LPV-PDE systems via disturbance observer

Ao Shang, Xiaona Song, Yulong Song, Shuai Song et al.
Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering
Stability and Control of Uncertain Systems
article

Spatiotemporal event-triggered anti-disturbance control for Markov jump LPV-PDE systems via disturbance observer

Ao Shang, Xiaona Song, Yulong Song, Shuai Song, Vladimir Stojanovic
article en

Abstract

This paper proposes a disturbance observer-based spatiotemporal event-triggered anti-disturbance control method for Markov jump linear parameter-varying partial differential equation (LPV-PDE) systems subject to disturbances. Based on the Takagi–Sugeno (T–S) fuzzy model, the original nonlinear system is approximated as a fuzzy LPV-PDE system. To reduce the number of sensors, pointwise measurements are introduced, based on which a spatiotemporal event-triggered mechanism is employed to alleviate the communication burden. Furthermore, a disturbance observer is developed to estimate the unknown disturbances modeled by an exogenous system. A fuzzy anti-disturbance point controller is then designed by combining the observer output with traditional state feedback. Sufficient conditions for the fuzzy LPV-PDE system to be exponentially stable are given by constructing a Lyapunov–Krasovskii functional (LKF). Finally, a numerical example is presented to demonstrate the effectiveness of the proposed strategy.

Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering
University of Kragujevac (RS), Henan University of Science and Technology (CN)
Openalex Percentile: Top 49%
Stability and Control of Uncertain Systems
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Spatiotemporal event-triggered anti-disturbance control for Markov jump LPV-PDE systems via disturbance observer — Ao Shang, Xiaona Song, et al. · Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering (2026) | TGRS Research Map | TGRS