Network system non-fragile fuzzy filter design method based on event-driven strategy

Abstract

The invention discloses a non-fragile fuzzy filter design method for a nonlinear network control system based on an event-driven mechanism and output signal quantization, and the method comprises the following steps: firstly constructing a nonlinear network system model described by interval type-2 fuzzy logic, and designing a filter model with parameter uncertainty; establishing an augmented error system of the filter by combining an event triggering strategy and a signal quantization method; constructing a Lyapunov-Krasovskii functional, utilizing a stability theory, an inequality technology and a free weight matrix method to obtain a sufficiency condition of existence of a non-fragile fuzzy filter, and giving a specific solving process of a filter parameter matrix. According to the invention, the accurate description capability of the interval type-2 fuzzy model is utilized, the event driving mechanism between the sensor and the filter, output signal quantization and parameter perturbation are considered, so that the non-fragile fuzzy filter has better robust performance and is more suitable for practical application.

Description

technical field [0001] The invention belongs to the technical field of intelligent control, and in particular relates to a non-fragile fuzzy filtering method based on an event-driven mechanism and signal quantization. Background technique [0002] Networked control systems have the advantages of high design flexibility, excellent reconfiguration, and low maintenance and operation costs. They have a wide range of applications in many fields, such as distributed industrial systems, power systems and smart grids, multi-agents, and transportation fields. At present, there are many literatures on networked control systems, among which representative literatures, such as "You Keyou, Xie Lihua. The latest research overview of networked control systems. Acta Automation, 2013, 39(2):101-118", on networked control The latest research progress, representative achievements and potential research directions of system filtering design are described; the literature "Zhang Dan, etal. Distri...

AI Technical Summary

Problems solved by technology

[0003] The above research on filtering under the nonlinear network framework only considers the combination of one or two situations of delay, quantization or packet loss, and more importantly, it does not take into account the parameter matrix of the filter designed in practical applications. It should have a certain degree of anti-interference to suppress the influence of its own uncertainty. Furthermore, when designing the network system filter, the event-driven mechanism was not introduced to reduce the burden of network transmission and reduce the cost of bandwidth design, and it was not comprehensively considered under the unified framework. Under the above factors, the system stabilizes quickly, the level of disturbance suppression is better, and the solution of filtering estimation effect is better

Images