Control of Average and Deviation in Large-Scale Linear Networks

• 成果类型: Article
• 署名作者: Nikitin, Denis; Canudas-de-Wit, Carlos; Frasca, Paolo
• 署名单位: Inria; Communaute Universite Grenoble Alpes; Institut National Polytechnique de Grenoble; Universite Grenoble Alpes (UGA); Centre National de la Recherche Scientifique (CNRS)
• 刊物名称: IEEE TRANSACTIONS ON AUTOMATIC CONTROL
• ISSN/ISSBN: 0018-9286
• DOI: 10.1109/TAC.2021.3065191
• 发表日期: 2022
• 页码: 1639-1654
• 关键词: automobiles; Atmospheric measurements; Voltage measurement; satellites; roads; regulation; Pollution measurement; extremum seeking; large-scale control; networks control

摘要

This article deals with the problem of controlling the average state of a large-scale linear network to a constant reference value. We design an output-feedback controller such that no information about state vector or system matrices is needed. For this controller to have arbitrary positive gains, it is sufficient that only a sign condition on system matrices should be satisfied. To assure that the states of the network are close to the average state, the problem of deviation minimization is solved in addition, using a novel extremum seeking algorithm.