Filtering method, device and electronic equipment

A filter and filter error technology, applied in the field of filtering, can solve the problem that the T-S fuzzy control method cannot be directly applied, and achieve the effect of stable filtering
CN106936408AActive Publication Date: 2017-07-07SICHUAN UNIV
3 Cites 6 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SICHUAN UNIV
Publication Date
2017-07-07

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention provides a filtering method, a device and electronic equipment, and relates to the technical field of filtering. The filtering method comprises the following steps: establishing an overall interval II-type T-S fuzzy time delay system model; establishing an overall interval II-type fuzzy filter model; establishing a filtering error model according to the interval II-type T-S fuzzy time delay system model and the interval II-type fuzzy filter model, and filtering according to the filtering error model. The filtering method, device and electronic equipment provided by the invention can better process a nonlinear system with parameter uncertainty, and accomplish the design of the filter parameter, so that the filtering is more stable.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The present invention relates to the technical field of filtering, in particular, to a filtering method, device and electronic equipment. Background technique

[0002] In recent years, the T-S fuzzy model has received extensive attention. The T-S fuzzy model is a global model formed by smoothly connecting a series of linear sub-models with nonlinear fuzzy weights. It can approximate any smooth nonlinear model with arbitrary precision in a convex compact set. function, the T-S fuzzy model plays a huge role in the stability analysis of fuzzy systems, controller synthesis and filter design, and has achieved fruitful theoretical results.

[0003] It is worth noting that the above results are based on Type I fuzzy logic, and these traditional Type I T-S fuzzy controls usually assume that the fuzzy weights do not contain uncertainty information. However, in practical applications, it is not only nonlinear but also accompanied by uncertainty. Once the consid...

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