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Distributed Model Predictive Consensus of Constrained Heterogeneous Multiagent Systems
DOI:10.1109/TSMC.2023.3241195.png)
Abstract
En 中文
In this article, the consensus of constrained linear heterogeneous multiagent systems under prediction and optimization is investigated. By optimizing the consensus problems constrained to state equations and general linear constraints, two types of distributed analytical model predictive controllers are proposed. Furthermore, stability conditions for the two types of controllers are derived, in which a relationship between the communication topology and dynamics of heterogeneous agents is clarified. Simulation examples of networked heterogeneous agents illustrate the convergence and validity of the proposed controllers.
Keywords:
Constrained optimization
distributed consensus
heterogeneous multiagent systems (HMASs)
model predictive control
Journal
IF:
10.5
Papers:
1.1W
Citations:
5.0W

