Distributed Optimal Consensus Control of Multiagent Systems Involving State and Control Dependent Multiplicative Noise

被引:4
|
作者
Jin, Nana [1 ]
Xu, Juanjuan [2 ]
Zhang, Huanshui [3 ]
机构
[1] Univ Jinan, Sch Math Sci, Jinan 250022, Peoples R China
[2] Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Peoples R China
[3] Shandong Univ Sci & Technol, Coll Elect Engn & Automat, Qingdao 266590, Peoples R China
基金
中国国家自然科学基金;
关键词
Ito stochastic system; multiagent systems; optimal consensus control; parameterized generalized algebraic Riccati equation; SUFFICIENT CONDITIONS; COMMUNICATION;
D O I
10.1109/TAC.2023.3246422
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article aims to solve the multiobjective optimization control problem by investigating the consensus problem of multiagent simultaneous optimization with state and control dependent multiplicative noise. The main contributions of this work are two-fold. First, the optimal consensus control problem is solved by designing the free item of an optimal controller, and the coefficient of the feedback gain is obtained based on analyzing a parameterized generalized algebraic Riccati equation. Second, we derive a new consensus controller that comprises two parts different from the current consensus. One part minimizes a linear quadratic index with a singular control weighting matrix, and the other affords the multiagent systems to achieve mean square consensus.
引用
收藏
页码:7787 / 7794
页数:8
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