Author
Listed:
- Yang Deng
- Vincent Léchappé
- Emmanuel Moulay
- Zhang Chen
- Bin Liang
- Franck Plestan
- Qing-Long Han
Abstract
With the developments of wireless data communication and network technology, time-delays are widely found in nowadays' control systems, e.g. networked control systems, mobile robot systems, and multi-agent systems. Predictor-based control is an effective method dealing with long time-delays because it can generally lead to a delay-free closed-loop system by introducing a prediction for future states. Recently, various predictor-based control methods have been developed for numerous control systems subject to different time-delays, which motivates this survey. This paper presents a comprehensive review of the up-to-date results on the predictor-based control of time-delay systems. Firstly, the ordinary differential equation-based approaches for designing and analysing predictor-based controllers are summarised. Secondly, one reports an alternative method of predictor-based control, in which the systems/controllers are understood in the sense of partial differential equations. Next, several integration-free predictor-based controllers are introduced: by abandoning the infinite-dimensional integral terms, the control laws become easier to realise in practice. Hereafter, the paper discusses the real-time implementations and the practical applications of predictor-based control methods to several particular control systems. Finally, this paper suggests some new trends of predictor-based control for future research.
Suggested Citation
Yang Deng & Vincent Léchappé & Emmanuel Moulay & Zhang Chen & Bin Liang & Franck Plestan & Qing-Long Han, 2022.
"Predictor-based control of time-delay systems: a survey,"
International Journal of Systems Science, Taylor & Francis Journals, vol. 53(12), pages 2496-2534, September.
Handle:
RePEc:taf:tsysxx:v:53:y:2022:i:12:p:2496-2534
DOI: 10.1080/00207721.2022.2056654
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