Distributed model predictive control for consensus of nonlinear systems via parametric sensitivity

To handle the nonlinear consensus problem, a distributed model predictive control (DMPC) scheme is developed via parametric sensitivity. A two-stage input computation strategy is adopted for enhancing optimization efficiency. In the background stage, each agent first establishes its next-step optimi...

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Veröffentlicht in:	ISA transactions Jg. 156; S. 87 - 98
Hauptverfasser:	Yu, Tianyu, Zhao, Fei, Xu, Zuhua, Zhao, Jun, Chen, Xi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Ltd 01.01.2025
Schlagworte:	Consensus problem Distributed model predictive control Nonlinear programming Parametric sensitivity Distributed model predictive control Nonlinear programming Parametric sensitivity Consensus problem
ISSN:	0019-0578, 1879-2022, 1879-2022
Online-Zugang:	Volltext
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