Publication

Zonotopic state estimation and fault detection for systems with time-invariant uncertainties

Conference Article

Conference

IFAC Symposium on Fault Detection Supervision and Safety for Technical Processes (SAFEPROCESS)

Edition

10th

Pages

494-499

Doc link

http://doi.org/10.1016/j.ifacol.2018.09.622

File

Download the digital copy of the doc pdf document

Authors

Abstract

This paper proposes a robust guaranteed state estimation method with application to fault detection by combining H∞ observer design with zonotopic analysis for discrete-time systems with both time-variant and time-invariant uncertainties. In order to improve the estimation accuracy, based on the H∞ technique, the observer design is achieved by solving a linear matrix inequality. The main contribution of this method lies in that the time invariance of some uncertainties is considered to reduce the conservatism of interval estimation. Finally, a numerical example is provided to demonstrate the effectiveness of the proposed method.

Categories

control theory.

Scientific reference

Z. Wang, W. Tang, Q. Zhang, V. Puig and Y. Shen. Zonotopic state estimation and fault detection for systems with time-invariant uncertainties, 10th IFAC Symposium on Fault Detection Supervision and Safety for Technical Processes, 2018, Warsow, Poland, Vol 51-24 of IFAC Papers Online, pp. 494-499, IFAC-Elsevier.