文献类型：期刊文献

英文题名：A Less Conservative Robust Control Approach and Its Application to Truck-Trailer System

作者：Liu, Bing[1];Li, Zhongmei[1];Nie, Rong[1];Du, Wenli[1]

机构：[1]East China Univ Sci & Technol, Key Lab Smart Mfg Energy Chem Proc, Minist Educ, Shanghai 200237, Peoples R China

年份：2025

卷号：22

起止页码：442

外文期刊名：IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING

收录：;EI(收录号：20240515485083);WOS:【SCI-EXPANDED(收录号:WOS:001406562400036)】；

基金：This article was recommended for publication by Associate Editor A. Parisio and Editor D. Song upon evaluation of the reviewers' comments. This work was supported in part by the National Natural Science Foundation of China (Basic Science Center Program) under Grant 61988101, in part by the National Natural Science Foundation of China under Grant 62293504 and Grant 62003140, in part by the Shanghai Science and Technology Planning Program under Grant 23DZ2201700, and in part by the Fundamental Research Funds for the Central Universities under Grant 222202417006.

语种：英文

外文关键词：Uncertainty; Robust control; Process control; Matrix converters; Linear matrix inequalities; Numerical models; Control systems; Linear parameter-varying system; less conservative; robust H-infinity performance; linear matrix inequalities; unknown uncertainties

摘要：This paper presents a robust H-infinity performance analysis method for an uncertain linear parameter-varying (LPV) system to achieve less conservative disturbance rejections. Specifically, by adopting Lyapunov function, a feedback controller is designed based on linear matrix inequalities (LMIs) framework to eliminate the influences of unknown uncertainties for continuous-time and discrete-time LPV systems. Meanwhile, a convex optimization technique is explored for solving optimization problems of bilinear matrix inequalities (BMIs), in which several sufficient conditions guaranteeing system stability are relaxed. Furthermore, compared with some existing approaches, the superior performances of the presented scheme are demonstrated by rigorous theoretical analysis and numerical simulations on a practical truck-trailer system.