JOURNAL ARTICLE

Observer-based event-triggered sliding mode control of the discrete-time singular networked systems

Qiyi XuWenhai QiYijun ZhangLijun Gao

Year: 2022 Journal:   Proceedings of the Institution of Mechanical Engineers Part I Journal of Systems and Control Engineering Vol: 236 (10)Pages: 1782-1794   Publisher: SAGE Publishing

Abstract

This article is concerned with the [Formula: see text] observer-based sliding mode control via event-triggered strategy for the discrete-time singular networked systems. To improve network communication efficiency, an event-triggered strategy is introduced. Under the premise of considering the design convenience of the sliding mode surface for discrete-time singular networked systems, the observer is constructed to estimate the states of the system. From the event-triggered strategy–based observer and the sliding mode control technology, the augmented closed-loop discrete-time singular networked system is obtained. Then, new sufficient admissible criteria of discrete-time singular networked systems are derived, satisfying a given [Formula: see text] performance level. The synchronous design method of the event-triggered strategy observer gain and sliding mode control one is provided as solvable linear matrix inequalities. The sliding mode control law is designed to obtain better sliding mode accessibility and less chattering. Finally, two examples are provided to verify the effectiveness of the proposed method.

Keywords:
Control theory (sociology) Observer (physics) Discrete time and continuous time Mode (computer interface) Sliding mode control Computer science State observer Mathematics Control (management) Nonlinear system Physics Artificial intelligence

Metrics

7
Cited By
1.50
FWCI (Field Weighted Citation Impact)
40
Refs
0.77
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Neural Networks Stability and Synchronization
Physical Sciences →  Computer Science →  Computer Networks and Communications
Stability and Control of Uncertain Systems
Physical Sciences →  Engineering →  Control and Systems Engineering
Distributed Control Multi-Agent Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications

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