Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Non-fragile dissipative filter method implemented by networked control systems

A networked control, non-fragile technology, applied in complex mathematical operations, etc., can solve problems such as filters and packet loss that are not considered

Active Publication Date: 2016-12-14
嘉兴企远网信息科技有限公司
View PDF3 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the introduction of the communication network has led to the following problems in the system: 1) Network delay: When data is transmitted in the communication network due to network congestion or external interference, there is a problem of network delay in the networked control system; 2) Packet loss : In the process of data transmission, due to network congestion and resource competition, the problem of data packet loss will be caused
The above research on dissipative filtering only considers delay or packet loss, and does not consider that the parameters of the filter itself will change due to external interference. However, in actual situations, delay and packet loss exist at the same time. And the parameters of the filter itself will also be affected by interference changes, so it is very important to use non-fragile filtering, which can make the system quickly stable, the level of disturbance suppression is better, and the filter estimation effect is better

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
  • Non-fragile dissipative filter method implemented by networked control systems
  • Non-fragile dissipative filter method implemented by networked control systems
  • Non-fragile dissipative filter method implemented by networked control systems

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0175] Using a non-fragile dissipation filtering method for a networked control system proposed by the present invention, when there is no external disturbance, that is, when w(k)=0, the networked filtering error system is mean square exponentially stable. When there is an external disturbance, the system is also mean square exponentially stable and has a certain anti-interference ability. The specific implementation method is as follows:

[0176] 1) Consider the following networked control system:

[0177]

[0178] y(k)=[1 -2 1]x(k)+0.9w(k)

[0179] z(k)=[-2 1 -2]x(k)

[0180] Consider the following given parameters

[0181]

[0182] h 4 = 1,E 4 =0.02,H 3 =[1 0 0 0 2],

[0183] Take here When there is a parameter perturbation F 1 (k)=F 2 (k)=F 3 (k)=F 4 When (k)=I, it is assumed that the system disturbance input w(k)=1 / k 2 , consider the dissipative filtering problem of the system when Q, S, R select different values, where H ∞ Filtering can be seen as ...

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 discloses a non-fragile dissipative filter method implemented by networked control systems. The non-fragile dissipative filter method includes building networked filter error system models under the condition that the availability of delay and packet loss of the networked control systems and perturbation of parameters of filters is taken into consideration; constructing Lyapunov functions; acquiring sufficient conditions for the availability of mean square exponential stability of networked filter error systems and non-fragile dissipative filters by the aid of Lyapunov stability theories and linear matrix inequality analysis processes; solving the parameters of the filters by the aid of Matlab LMI tool boxes; providing parameter matrixes (as shown in the specifications) of the non-fragile dissipative filters. The non-fragile dissipative filter method has the advantages that sensor-filter packet loss and delay conditions are taken into consideration, Bernoulli distribution requirements can be met by the probability of packet loss and delay, accordingly, the non-fragile dissipative filter method has practical significance and is applicable to general dissipative filter including H8 filter, and the conservative property of designs of non-fragile filters can be lowered.

Description

technical field [0001] The invention relates to a networked control system and dissipation filtering, in particular to a non-fragile dissipation filtering method of a networked control system with time delay and packet loss. Background technique [0002] The closed-loop control system formed through the communication network is called networked control system (networked control system, abbreviated as NCSs). NCSs has the advantages of convenient installation and maintenance, high flexibility and easy reconfiguration. However, the introduction of the communication network has led to the following problems in the system: 1) Network delay: When data is transmitted in the communication network due to network congestion or external interference, there is a problem of network delay in the networked control system; 2) Packet loss : In the process of data transmission, due to network congestion and resource competition, the problem of data packet loss will be caused. At the same tim...

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
IPC IPC(8): G06F17/15G06F17/16
CPCG06F17/15G06F17/16
Inventor 潘丰王剑峰
Owner 嘉兴企远网信息科技有限公司
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products