Robust Output Feedback Tracking Control for Time-Delay Nonlinear Systems Using Neural Network

Peng Shi, Hua Changchun, Guan Xinping

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, the problem of robust output tracking control for a class of time-delay nonlinear systems is considered. The systems are in the form of triangular structure with unmodeled dynamics. First, we construct an observer whose gain matrix is scheduled via linear matrix inequality approach. For the case that the information of uncertainties bounds is not completely available, we design an observer-based neural network (NN) controller by employing the backstepping method. The resulting closed-loop system is ensured to be stable in the sense of semiglobal boundedness with the help of changing supplying function idea. The observer and the controller designed are both independent of the time delays. Finally, numerical simulations are conducted to verify the effectiveness of the main theoretic results obtained.
Original languageEnglish
JournalIEEE Transactions on Neural Networks
Volume18
Issue number2
DOIs
Publication statusPublished - 5 Mar 2007

Keywords

  • backstepping method
  • neural network (nn)
  • observer design
  • time-delay systems

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