Event-Triggered Filtering for Nonlinear Networked Discrete-Time Systems

• Published in: IEEE transactions on industrial electronics (1982) Vol. 62; no. 11; pp. 7163 - 7170
• Main Authors: Sun, Yiyong, Yu, Jinyong, Chen, Ziran, Xing, Xing
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.11.2015; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Asymptotic properties; Asymptotic stability; Event-triggered scheme; Filtering; Filtration; Fuzzy; Fuzzy logic; Fuzzy set theory; Generators; Networked systems; Polynomial fuzzy model; Polynomials; Quantization (signal); Signal quantization; Simulation; Sum of squares; Symmetric matrices; signal quantization; polynomial fuzzy model; networked systems; sum of squares (SOS); Event-triggered scheme
• ISSN: 0278-0046; 1557-9948
• DOI: 10.1109/TIE.2015.2431637

This paper investigates the problem of H ∞ filtering for polynomial-fuzzy-model-based discrete-time networked systems under an event-triggered scheme. A polynomial fuzzy filter is designed to estimate the control output. In order to reduce the data size transmitted in a network, signal quantization is managed via a logarithmic quantizer. A novel method is designed to guarantee a filtering error system to be asymptotically stable and to satisfy the desired performance. Furthermore, sufficient conditions developed via the method are represented as a sum of squares, which can be solved by SOSTOOLS. A simulation example is provided to demonstrate the effectiveness of the proposed results.