Set-membership state estimation for time-varying complex networks: two zonotopic design methods

• Published in: International journal of general systems Vol. 54; no. 2; pp. 218 - 239
• Main Authors: Yao, Mengyuan, Chen, Dongyan, Hu, Jun, Yang, Ning
• Format: Journal Article
• Language: English
• Published: Abingdon Taylor & Francis 17.02.2025; Taylor & Francis LLC
• Subjects: Algorithms; correction matrix; Matrix methods; set-membership state estimation; Simulation; State estimation; state observer; State observers; Time-varying complex networks; zonotopes
• ISSN: 0308-1079; 1563-5104
• DOI: 10.1080/03081079.2024.2375443

This article studies the zonotopic set-membership state estimation problem for linear time-varying complex networks with unknown-but-bounded (UBB) noises, where the UBB noises are contained by a set of zonotopes. The objective of the addressed problem is to give two design methods, namely the correction matrix method and the state observer method, where a time-varying zonotopic sequence containing all possible states of the system is obtained. The expressions of the correction matrix and the observer gain are given under the F-radius criterion, and the desired minimum zonotopes are obtained. In addition, a state observer based on the measured output at the current moment is designed to analyze the equivalence between the above two methods. Finally, in order to demonstrate the effectiveness of the proposed state estimation algorithms, two simulation examples are presented.