research-article

Adaptive finite-time optimal fuzzy control for novel constrained uncertain nonstrict feedback mixed multiagent systems via modified dynamic surface control

Authors:

Tianping ZhangAuthors Info & Claims

Volume 681, Issue C

https://doi.org/10.1016/j.ins.2024.121216

Published: 18 October 2024 Publication History

Abstract

In this article, the finite-time stability is discussed for the novel nonlinear mixed multiagent systems (MASs) with unmodeled dynamics and constraints. Each agent is characterized as a state or output feedback system structured in the nonstrict form. The improved finite-time dynamic surface control (DSC) and the fuzzy actor-critic networks collectively constitute a novel optimal input. The fuzzy logic systems (FLSs) is introduced to approximate the unknown parts in the derivation process. By using the nonlinear transformation rules (NTRs), all the states or output are made to operate strictly within the predefined boundary conditions. The unmodeled dynamics can be solved by the constructed dynamic signals. By the aid of the compensating signals, the filtering errors can be countervailed in the DSC. The stability analysis demonstrates that all the signals are semi-globally practical finite-time stable (SGPFS). The feasibility of this scheme is explained intuitively by two simulations.

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Adaptive finite-time optimal fuzzy control for novel constrained uncertain nonstrict feedback mixed multiagent systems via modified dynamic surface control
1. Mathematics of computing

Index terms have been assigned to the content through auto-classification.

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cover image Information Sciences: an International Journal

Information Sciences: an International Journal Volume 681, Issue C

Oct 2024

1022 pages

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Elsevier Inc.

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Elsevier Science Inc.

United States

Publication History

Published: 18 October 2024

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