多智能体系统的鲁棒协同控制重构/恢复

Z. Gallehdari, N. Meskin, K. Khorasani
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引用次数: 13

摘要

研究了线性多智能体系统在存在执行器故障、饱和和环境干扰的情况下寻求一致性的可重构控制协议。对于健康系统和具有故障代理的系统,分别提出了两个控制器,即健康控制器和重构控制器。健康控制器是离线设计的,保证团队在存在环境干扰的情况下达成共识。另一方面,基于故障检测与识别(FDI)模块提供的信息,根据约束控制信号在线设计重构/恢复控制器。假设外国直接投资信息是不准确的,但假设不确定性的界限是已知的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Robust cooperative control reconfiguration/recovery in multi-agent systems
In this paper, a reconfigurable control protocol for a linear multi-agent system seeking consensus in presence of actuator faults and saturations and environmental disturbances is investigated. Two controllers, namely the healthy controller and the reconfigured controller, are proposed for the healthy system and the system with faulty agents, respectively. The healthy controller is designed off-line and guarantees that the team achieves consensus in presence of environmental disturbances. On the other hand, the reconfigured/recovered controller is designed on-line subject to constrained control signals and based on the information that the fault detection and identification (FDI) module has provided. The FDI information are assumed to be inaccurate, however the bounds on the uncertainties are assumed to be known.
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