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Lifting model prediction compensation method for data packet loss in network system

A model prediction and network system technology, applied in transmission systems, digital transmission systems, data exchange networks, etc., can solve problems such as data loss

Inactive Publication Date: 2020-08-25
QINGDAO UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The purpose of the present invention is to study a method for predicting and compensating data packet loss promotion model under the data-driven framework, so as to solve the problem of data loss on both the input side and the output side in the network control system

Method used

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  • Lifting model prediction compensation method for data packet loss in network system
  • Lifting model prediction compensation method for data packet loss in network system
  • Lifting model prediction compensation method for data packet loss in network system

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Embodiment Construction

[0075] In order to better illustrate the purpose and advantages of the present invention, the content of the invention will be further described in detail below in conjunction with the embodiments and corresponding drawings.

[0076] Consider a repetitive MIMO linear time-varying network system:

[0077]

[0078] Among them, y k (t)∈R n represents the output of the system, u k (t)∈R n Indicates the control input of the system, x k (t)∈R m is the state of the system, A(t)∈R m×m , B(t)∈R m×n and C(t)∈R n×m Represents the unknown system matrix, t∈{0,1,…,N} represents the time, where N represents the terminal time, k∈{0,1,…} is the number of iterations;

[0079] From the above system (a1), we can get the following equation:

[0080]

[0081] in, u k (t)=[u 1,k (t), u 2,k (t),...,u n,k (t)] T ∈R n×1 , i∈{0,...,t};

[0082] The system needs to meet the following assumptions:

[0083] Assumption 1: The initial state x of the system k (0) is the same at eac...

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Abstract

The invention discloses a batch prediction compensation method for data packet loss in a network system, and belongs to the field of intelligent control. Mainly aiming at the problem that data on an input side and an output side in a network control system is lost, a control scheme provided by the invention comprises the following steps of: establishing a virtual linear data model, and describingthe input and output dynamic states of a multiple-input multiple-output linear repetitive system in an iterative domain; establishing a batch iterative prediction model based on the lifting technologyby utilizing the linear data model, wherein the batch iterative prediction model actually exists in a computer and is used for predicting and compensating for lost data. The lifting model predictioncompensation method for data packet loss in a network system is popularized to an unknown nonlinear non-affine system. The lifting model prediction compensation method for data packet loss in a network system mainly solves the problem of data packet loss in a network control system. Under a data driving framework, a batch iterative prediction model based on a lifting technology is established to perform batch prediction and compensation on lost data, the calculation real-time performance is high, deterioration of control performance of a network system due to data loss can be effectively avoided, and the method can be applied to a linear system and can also be applied to a nonlinear system.

Description

technical field [0001] The invention relates to the technical field of network control, and in particular to a method for predicting and compensating an improved model for data packet loss in a network system. Background technique [0002] Iterative learning control (ILC) is best suited for processes with repeatable properties and the ability to perform perfect tracking over a finite time interval. The ILC continuously optimizes control behavior using information from previous operations, performing tasks better with increasing iterations. Due to its good control performance and simple control structure, ILC has been widely researched and applied. [0003] In recent years, the network control system has been widely used in various fields due to its advantages of low cost, simple installation, less wiring, convenient maintenance and high reliability. However, the implementation of ILC in networked control systems performing repetitive tasks is still an open problem. In add...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/24
CPCH04L41/145H04L41/147
Inventor 池荣虎林娜姚文龙张慧敏惠宇吕云凯
Owner QINGDAO UNIV OF SCI & TECH
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