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

Download

Full text for this resource is not available from the Research Repository.

Export

Hua, Changchun, Guan, Xinping and Shi, Peng (2007) Robust Output Feedback Tracking Control for Time-Delay Nonlinear Systems Using Neural Network. IEEE Transactions on Neural Networks, 18 (2). pp. 495-505. ISSN 1045-9227

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

Dimensions Badge

Altmetric Badge

Item type	Article
URI	https://vuir.vu.edu.au/id/eprint/3307
DOI	10.1109/TNN.2006.888368
Official URL	http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arn...
Subjects	Historical > FOR Classification > 0906 Electrical and Electronic Engineering Historical > Faculty/School/Research Centre/Department > Institute for Logistics and Supply Chain Management (ILSCM) Historical > FOR Classification > 0199 Other Mathematical Sciences Information Systems
Keywords	ResPubID18976, closed loop systems, control system synthesis, delay systems, feedback, linear matrix inequalities, neurocontrollers, nonlinear control systems, observers, robust control
Citations in Scopus	166 - View on Scopus
Download/View statistics	View download statistics for this item