期刊
NEUROCOMPUTING
卷 483, 期 -, 页码 1-9出版社
ELSEVIER
DOI: 10.1016/j.neucom.2022.01.092
关键词
Linear multi-agent systems; Cooperative output regulation; Robust control; Event-triggered control
资金
- Shanghai Municipal Science and Technology Major Project [2021SHZDZX0100]
- National Natural Science Foundation of China [62073241, 62088101]
- Shanghai Municipal Commission of Science and Technology Project [19511132101]
- Fundamental Research Funds for the Central Universities [22120210127]
This paper proposes a distributed state and output feedback control law based on the dynamic event-triggered mechanism to solve the robust cooperative output regulation problem for a class of general linear uncertain multi-agent systems (MASs) subject to external disturbances. The proposed control law is directly implementable in the digital platform and can handle parametric uncertainties, reject external disturbances, and track a dynamic leader, while avoiding the Zeno phenomenon.
In this paper, distributed state and output feedback control law based on the dynamic event-triggered mechanism are proposed to solve the robust cooperative output regulation problem for a class of general linear uncertain multi-agent systems (MASs) subject to external disturbances. The discrete-time control law proposed for each agent is equivalent to a discrete one and thus directly implementable in the digital platform. Our design can handle parametric uncertainties, reject external disturbances and track a dynamic leader while excluding the Zeno phenomenon by providing the existence of a lower bound for inter-event times of each agent, the efficiency of which is illustrated by a numerical example. (c) 2022 Elsevier B.V. All rights reserved.
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