Event-Triggered Filtering for Nonlinear Networked Discrete-Time Systems

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.