Distributed Optimization Control for High-Order Nonlinear Multiagent Systems: A Fully Distributed Event-Triggered Control Algorithm

This article investigates the fully distributed optimization control problem for high-order nonlinear multiagent systems (MASs) with unknown nonlinearities. Initially, a fully distributed optimal signal estimator with adaptive gains is developed, which ensures that its output asymptotically converge...

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Vydané v:	IEEE internet of things journal Ročník 12; číslo 19; s. 41033 - 41045
Hlavní autori:	Zhang, Jing, Yue, Huarong, Xia, Jianwei, Park, Ju H.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 01.10.2025 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Backstepping Closed loops Control algorithms Control systems Control theory Cost function Distributed algorithms Distributed optimization Energy consumption Event detection Event triggered control Feedback control fully distributed algorithm Heuristic algorithms Multi-agent systems Multiagent systems Nonlinear control nonlinear multiagent systems Nonlinear systems Nonlinearity Optimization Resource management Tracking problem Uncertainty Vectors
ISSN:	2327-4662, 2327-4662
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