4.7 Article

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

期刊

IEEE TRANSACTIONS ON AUTOMATIC CONTROL
卷 64, 期 5, 页码 2092-2099

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TAC.2018.2863659

关键词

Descriptor systems; discrete-time linear parameter-varying (LPV) models; set-membership approach; state estimation; zonotopes

资金

  1. Spanish State Research Agency
  2. European Regional Development Fund [DPI2016-76493-C3-3-R, DPI2017-88403-R]
  3. FPI [BES-2014-068319]
  4. National Natural Science Foundation of China [61273162, 61403104]

向作者/读者索取更多资源

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.

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