Dissipativity-based robust filter design for singular fuzzy systems with dynamic quantization and event-triggered mechanism.

This paper focus on the design issue of event-based dissipative filter for quantized nonlinear singular systems. To save the communication resource, we employ a dynamic quantizer to quantized the measurement output signal prior to transmitting it to the filter via digital communication. Furthermore, the paper also presents an event-triggered mechanism for determining the transmission of the quantized signal. The intention of this paper is to try to propose an event-triggered filter to ensure that the filtering error system (FES) is admissible and satisfies strictly dissipativity performance, in the presence of dynamic quantization and occurring uncertainties. The Lyapunov function is utilized to establish a sufficient condition for the FES to meet the strictly dissipative performance. Depending on the obtained conditions, the required filter parameters are proposed using the standard linear matrix inequality (LMI) technique. Ultimately, the effectiveness of the developed method is verified by an actual circuit simulation. • The problem of dissppativity-based robust filter design for singular systems is investigated. The admissibility and the dissipative performance of the filtering error system are discussed. • The event triggering mechanism, dynamic quantization and parameter uncertainty are also studied in the filtering error system. By introducing strict LMI, the design conditions are given to ensure that the filtering error system is admissible and possesses strictly dissipative performance. • The quantizers dynamic parameter is designed within the quantization range based on the LMI conditions. [ABSTRACT FROM AUTHOR]