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Controlling the multi‐plant networked system with external perturbations via adaptive model‐based event‐triggered strategy
Author(s) -
Yang Pan,
Feng Jianwen,
Fu Xinchu,
Xu Chen,
Wang Jingyi
Publication year - 2021
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.2182
Subject(s) - control theory (sociology) , computer science , lyapunov stability , event (particle physics) , bounded function , adaptive control , stability (learning theory) , lyapunov function , control system , control (management) , distributed computing , topology (electrical circuits) , mathematics , engineering , nonlinear system , artificial intelligence , mathematical analysis , physics , quantum mechanics , machine learning , combinatorics , electrical engineering
This paper concerns the multi‐plant networked control system with external perturbations by applying the adaptive model‐based event‐triggered control strategy. Compared with existing works, we introduce multiple plants topology in order to smooth the information exchanges among different plants. Gained insight into the adaptive model features in the view of event‐triggered thought, the event‐triggered rules, determining when the control inputs update, are obtained using the Lyapunov technique to reduce the communication cost. By designing some adaptive updating laws combined with the concept of event‐triggered, the unknown parameters in uncertain multi‐plant networked control systems are real‐time online estimated and adjusted with respect to the relevant nominal systems at event‐triggered instants. To avoid Zeno phenomena, a lower bound of event‐triggered execution interval is discussed. Furthermore, given the external perturbations, L 2 gain stability theory is introduced to analyze the stability of multi‐plant networked control systems with bounded perturbations, and then the sufficient conditions related to the multiple plants topology structure are derived. Finally, a numerical simulation is provided to illustrate the effectiveness of our theoretic results.