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随机通信协议下基于内模控制的多智能体系统模型预测协同控制

Model Predictive Cooperative Control With ISM for Multiagent Systems Under Stochastic Communication Protocol.

作者信息

Yuan Yuan, Guo Lei, Liu Huaping

出版信息

IEEE Trans Cybern. 2021 Dec;51(12):6004-6016. doi: 10.1109/TCYB.2019.2941743. Epub 2021 Dec 22.

DOI:10.1109/TCYB.2019.2941743
PMID:31985448
Abstract

In this article, the cooperative control problem is investigated for the nonlinear multiagent system (MAS). For the purpose of avoiding possible data collisions, the stochastic communication protocol (SCP) is adopted to schedule the data transmission at each time instant. To deal with the unmatched disturbances, the composite control strategy is put forward which integrates the model predictive control (MPC) and the integral sliding-mode control methods. The sufficient conditions are established to guarantee the cooperative behavior of the MAS subjected to SCP scheduling. Furthermore, the parameters of the MPC scheme are selected such that the recursive feasibility and mean-square practical stability are guaranteed. Finally, the numerical simulation on the satellites is conducted to verify the effectiveness of the proposed methodology.

摘要

本文研究了非线性多智能体系统(MAS)的协同控制问题。为避免可能的数据冲突,采用随机通信协议(SCP)在每个时刻调度数据传输。为应对不匹配干扰,提出了一种将模型预测控制(MPC)和积分滑模控制方法相结合的复合控制策略。建立了充分条件以保证在SCP调度下MAS的协同行为。此外,选择MPC方案的参数以保证递归可行性和均方实际稳定性。最后,对卫星进行了数值仿真,以验证所提方法的有效性。

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