Real-time H∞ norm optimization of the linear time-invariant system

作     者：Xu, Yunsong Luo, Hao Yu, Han 

作者机构：College of Intelligence Science and Technology National University of Defense Technology Changsha410073 China Department of Control Science and Engineering Harbin Institute of Technology Harbin150001 China 

出 版 物：《Automatica》 (Automatica)

年 卷 期：2022年第144卷

核心收录：

学科分类：0711[理学-系统科学] 07[理学] 08[工学] 070105[理学-运筹学与控制论] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 0701[理学-数学] 071101[理学-系统理论] 

基　　金：This work is supported by National Natural Science Foundation of China under Grant No. 62003049 and 62073104 . This work is also in part supported by the Science and Technology Innovation Program of Hunan Province under Grant 2021RC2073 . The authors would like to thank the reviewers for their valuable and constructive comments 

主　　题：Linear time invariant system 

摘      要：H∞ norm is widely adopted in control system design and its model-based computation is well-established. In these applications, the optimization of the H∞ norm follows an offline manner. However, the real-time optimization of the H∞ norm of a (stable) linear time-invariant system remains open, which is of considerable interest in the domains of performance optimization, fault-tolerant control, etc. Driven by this desire, as an alternative to the model-based offline solution of the H∞ control/optimization problem, this paper proposes a real-time H∞ norm optimization approach. It would be beneficial to the real-time reconfiguration of the controller/observer under the H∞ optimization framework. © 2022 Elsevier Ltd