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Adaptive output observers-based distributed tracking

delete2024-03-01
delete7
PRE
AI
Y
Yong Xu
Z
Zheng‐Guang Wu *
Y
Ya‐Jun Pan
DOI:10.1016/j.automatica.2023.111489delete
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Abstract

Abstract

En 中文
This paper proposes a novel adaptive output observer method for the distributed output tracking control of heterogeneous systems. Unlike the existing adaptive distributed state observer, an output based adaptive distributed output observer (OADOO) that only relies on the leader's output is proposed to estimate the leader's information. Meanwhile, an input-based triggering mechanism is exploited to avoid continuous interactions between agents, and between the leader and its neighboring agents, respectively. Then, a local controller is developed to achieve the output tracking control. In comparison with the existing results for the similar research problem, our results not only handle the tracking control subject to only relative output measurement, but also considerably lower the data exchange traffic and dimension among agents of the developed OADOO. (c) 2024 Elsevier Ltd. All rights reserved.
Keywords:
Heterogeneous systems
Adaptive output observer
Distributed tracking
Event-triggered control

Journal

Automatica cover
Automatica
IF:
5.9
Papers:
1.2W
Citations:
5.2W

Organization

B
beijing institute of technology
Scholars:
5.5W
Papers: 4.0W
Citations: 63
D
Dalhousie University
Scholars:
2.0W
Papers: 1.8W
Citations: 2.3W
S
Shenzhen Polytechnic University
Scholars:
2.9K
Papers: 2.6K
Citations: 68
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