Event trigger observer design method based on online asynchronous antecedent reconstruction

A technology of event triggering and design methods, applied in the field of robust filtering, can solve problems such as fuzzy observers, achieve the effect of solving fuzzy observer design problems, solving fuzzy observer design difficulties, and overcoming limitations and defects

Active Publication Date: 2021-07-09
DALIAN UNIV OF TECH
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide an event-triggered observer design method based on online asynchronous antecedent reconstruction, to solve the design problem of event-triggered fuzzy observers, and to obtain ideal performance while saving network resources

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Event trigger observer design method based on online asynchronous antecedent reconstruction
  • Event trigger observer design method based on online asynchronous antecedent reconstruction
  • Event trigger observer design method based on online asynchronous antecedent reconstruction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0020] In this embodiment, the event-triggered observer design method based on online asynchronous antecedent reconstruction includes the following steps:

[0021] Step 1: For the actual complex nonlinear system, it is modeled as a continuous-time T-S fuzzy model in the local area, as follows:

[0022]

[0023] y(t)=Cx(k)

[0024]

[0025] where r is the number of inference rules, i represents the rule sequence, x(t), y(t) and z(t) represent the system state, measurement output and performance output, respectively, v(t) is the external disturbance, A i ,D i , C and E i is a constant matrix. Another membership function χ i (μ(y(t))) satisfies the relation:

[0026] Step 2: Establish an event-triggered communication mechanism and design an event-triggered fuzzy observer;

[0027] (1) The event-triggered communication mechanism is...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides an event trigger observer design method based on online asynchronous antecedent reconstruction, which comprises the following steps of modeling an actual complex nonlinear system into a T-S fuzzy model, and selecting system output as a antecedent variable, designing a new fuzzy observer, wherein the gain of the observer is switched at different triggering moments according to the designed online asynchronous premise reconstruction method, and establishing a discontinuous Lyapunov function to prove that the provided observer can ensure the stability and expected performance of the system. A scheme for effectively processing the mismatching of the antecedent variables caused by the introduction of the event triggering mechanism is given, so that the problem of difficulty in designing the fuzzy observer is effectively solved. The method is simulated, and the result verifies the effectiveness of the method.

Description

technical field [0001] The invention relates to the field of robust filtering of networked fuzzy systems, in particular to an event-triggered observer design method based on online asynchronous antecedent reconstruction. Background technique [0002] It is well known that state variables in control systems are not always available. Therefore, the problem of state estimation and filtering of nonlinear systems has always been a research hotspot in the field of control. The existing robust filtering results can be divided into two categories. When the statistical test information of external disturbances is available, these statistical information can be used to design filters, such as the famous Kalman filter. When the statistical test information of the external disturbance is not available, the H infinite filter will be used in this scenario. Due to the ubiquitous characteristics of uncertainty, nonlinearity and strong coupling in practical systems, the problem of robust ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G05B13/04
CPCG05B13/042
Inventor 王晓磊
Owner DALIAN UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap