Distributed adaptive consensus tracking control for stochastic nonlinear multi-agent systems with quantized input

This paper addresses an adaptive control problem for a class of stochastic nonlinear multi-agent systems with quantized input. By using the backstepping design method, the distributed controller is designed for each of the agents, which only uses the agent's local state and the states of its ne...

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Bibliographic Details
Published in2021 40th Chinese Control Conference (CCC) pp. 4931 - 4936
Main Authors Zilun, Hu, Jianying, Yang
Format Conference Proceeding
LanguageEnglish
Published Technical Committee on Control Theory, Chinese Association of Automation 26.07.2021
Subjects
Adaptive control
Backstepping
Complexity theory
Control theory
Design methodology
Explosions
Filtering theory
Graph theory
Quantized input
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Summary:This paper addresses an adaptive control problem for a class of stochastic nonlinear multi-agent systems with quantized input. By using the backstepping design method, the distributed controller is designed for each of the agents, which only uses the agent's local state and the states of its neighbors. According to the graph theory and the stochastic analysis, it is proved that the proposed method can drive the agents to achieve consensus while all of the closed-loop systems remain bounded in probability. Finally, a numerical example is provided to show the effectiveness of the proposed method.
ISSN:2161-2927
DOI:10.23919/CCC52363.2021.9549959