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Robust adaptive neural control for a class of uncertain non-linear time-delay systems with unknown dead-zone non-linearity.
- Source :
-
IET Control Theory & Applications (Institution of Engineering & Technology) . 10/13/2011, Vol. 5 Issue 15, p1782-1795. 14p. - Publication Year :
- 2011
-
Abstract
- A robust adaptive neural network controller is proposed for a class of uncertain non-linear time-delay systems in strict feedback form with both completely unknown control gains and unknown non-symmetric dead-zone non-linearity based on backstepping design. The proposed design approach does not require a priori knowledge of the signs of the unknown control gains. The unknown time delays are compensated for constructing appropriate Lyapunov-Krasovskii functionals. By utilising integral Lyapunov design and sliding-mode control strategy, the controller singularity problem and the effect of dead-zone input non-linearity are avoided perfectly. From Lyapunov stability theorem, it is proved that the proposed design approach is able to guarantee semi-globally uniformly ultimately boundedness of all the signals in the closed-loop system, and the tracking error of the system is proven to be converged to a small neighbourhood of the origin. The simulation results demonstrate the effectiveness of the proposed approach. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 17518644
- Volume :
- 5
- Issue :
- 15
- Database :
- Academic Search Index
- Journal :
- IET Control Theory & Applications (Institution of Engineering & Technology)
- Publication Type :
- Academic Journal
- Accession number :
- 66388191
- Full Text :
- https://doi.org/10.1049/iet-cta.2010.0633