arrow
Return

Distributed Model Predictive Consensus of Constrained Heterogeneous Multiagent Systems

delete2023-07-01
delete11
PRE
AI
H
Huiyan Li
詹璟原 cover
詹璟原 (Jingyuan Zhan)
H
Hai‐Tao Zhang
李翔 (Xiang Li) *
DOI:10.1109/TSMC.2023.3241195delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

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

IEEE Transactions on Cybernetics cover
IEEE Transactions on Cybernetics
IF:
10.5
Papers:
1.1W
Citations:
5.0W

Organization

F
fudan university
Scholars:
11.7W
Papers: 7.7W
Citations: 121
T
tongji university
Scholars:
7.7W
Papers: 5.9W
Citations: 98
B
Beijing University of Technology
Scholars:
2.8W
Papers: 2.1W
Citations: 2.7W
researcher View more organizations