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Dynamic event-triggered adaptive predefined accuracy consensus control for stochastic interconnected multi-agent systems

delete2025-09-16
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PRE
AI
姚大杰 (Dajie Yao)
Y
Yangang Yao
吴建华 (Jian Wu)
DOI:10.1016/j.jfranklin.2025.108066delete
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Abstract

Abstract

En 中文
• For stochastic nonlinear MASs with unmeasurable states, the output feedback consensus control is first addressed for stochastic nonlinear MASs with predefined accuracy in this paper. And it gets rid of the dilemma that the adjustment of the tracking errors depend on parameters on the basis of the predefined accuracy method. • In contrast to the existing predefined accuracy control reports for stochastic nonlinear MASs(the literature [12, 13, 22, 32] in the manuscript), the considered stochastic nonlinear MASs are interconnected in this paper. It is more complex and challenging. • To solve the problem of stochastic nonlinear MASs with limited bandwidth and resources. this paper proposes a method to reduce the update frequency of the controller. Unlike these reports [13] and [22] in the manuscript, the dynamic event triggering mechanism is first introduced for stochastic nonlinear MASs under predefined accuracy, which saves the communication bandwidth and systems resources. We address the problem of unknown control coefficients via the Nussbaum function. It makes the design controller more general. These are more applicable in practical systems.

Journal

J
Journal of the Franklin Institute
IF:
4.2
Papers:
822
Citations:
0

Organization

A
Anhui Agricultural University
Scholars:
1.2W
Papers: 5.7K
Citations: 1.0W
A
Anqing Normal University
Scholars:
1.4K
Papers: 902
Citations: 1.0K
C
Chizhou University
Scholars:
455
Papers: 361
Citations: 326
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