Time-delay positive feedback control for nonlinear time-delay systems with neural network compensation

Jing Na*, Xue Mei Ren, Hong Huang

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)

17 Citations (Scopus)

Abstract

A new adaptive time-delay positive feedback controller (ATPFC) is presented for a class of nonlinear time-delay systems. The proposed control scheme consists of a neural networks-based identification and a time-delay positive feedback controller. Two high-order neural networks (HONN) incorporated with a special dynamic identification model are employed to identify the nonlinear system. Based on the identified model, local linearization compensation is used to deal with the unknown nonlinearity of the system. A time-delay-free inverse model of the linearized system and a desired reference model are utilized to constitute the feedback controller, which can lead the system output to track the trajectory of a reference model. Rigorous stability analysis for both the identification and the tracking error of the closed-loop control system is provided by means of Lyapunov stability criterion. Simulation results are included to demonstrate the effectiveness of the proposed scheme.

Original languageEnglish
Pages (from-to)1196-1202
Number of pages7
JournalZi dong hua xue bao (Acta Automatica Sinica)
Volume34
Issue number9
DOIs
Publication statusPublished - 1 Sep 2008

Keywords

  • Adaptive control
  • Linearization compensation
  • Neural networks
  • System identification
  • Time-delay system

Fingerprint Dive into the research topics of 'Time-delay positive feedback control for nonlinear time-delay systems with neural network compensation'. Together they form a unique fingerprint.

  • Cite this