Zonotopic Set-Membership State Estimation for Discrete-Time Descriptor LPV Systems

被引:78
|
作者
Wang, Ye [1 ]
Wang, Zhenhua [2 ]
Puig, Vicenc [1 ]
Cembrano, Gabriela [1 ,3 ]
机构
[1] Univ Politecn Cataluna, BarcelonaTech, CSIC, Adv Control Syst Res Grp,Inst Robot & Informat In, E-08028 Barcelona, Spain
[2] Harbin Inst Technol, Sch Astronaut, Harbin 150001, Heilongjiang, Peoples R China
[3] Cetaqua, Water Technol Ctr, Barcelona 08940, Spain
基金
中国国家自然科学基金;
关键词
Descriptor systems; discrete-time linear parameter-varying (LPV) models; set-membership approach; state estimation; zonotopes; FAULT-DETECTION; IDENTIFICATION; DESIGN;
D O I
10.1109/TAC.2018.2863659
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This technical note proposes a novel set-membership state estimation approach based on zonotopes for discrete-time descriptor linear parameter-varying systems. The consistency test between the system model and measured outputs is implemented to construct a parameterized intersection zonotope with respect to a correction matrix. With a defined zonotope minimization criterion, we propose a novel offline optimization problem to obtain the optimal correction matrix. In addition, with the proposed approach, an adaptive bound of the radius of the intersection zonotope is also provided. Finally, a case study with a truck-trailer system is shown to illustrate the proposed approach.
引用
收藏
页码:2092 / 2099
页数:8
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