Design and stability analysis of nonlinear networked control systems with random delay based on Neural Network

Runqi Chai*, Lijing Dong, Baihai Zhang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Design and stability analysis of nonlinear networked control system with random network delay in both feedback and forward channels are concerned in this paper. A new control strategy, which consists of control prediction generator and time delay compensator, was developed to compensate for the time delay in an active way. Neural Network (NN) was employed to generate predictive state vector, then through the controller, predictive control vector can be achieved. To illustrate the performance of the proposed scheme for uncertain nonlinear system, numerical simulations are carried out. The results show the feasibility and efficiency of the control strategy.

Original languageEnglish
Title of host publicationProceedings of the 2012 24th Chinese Control and Decision Conference, CCDC 2012
Pages523-528
Number of pages6
DOIs
Publication statusPublished - 2012
Event2012 24th Chinese Control and Decision Conference, CCDC 2012 - Taiyuan, China
Duration: 23 May 201225 May 2012

Publication series

NameProceedings of the 2012 24th Chinese Control and Decision Conference, CCDC 2012

Conference

Conference2012 24th Chinese Control and Decision Conference, CCDC 2012
Country/TerritoryChina
CityTaiyuan
Period23/05/1225/05/12

Keywords

  • Nonlinear Networked Control System (NNCS)
  • predictive control and Neural Network (NN)

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