Dynamic Surface Neural Control for a Class of Nonlinear Time-Varying Delay Systems Preceded by Unknown Hysteresis

Xiu Yu Zhang; Cui Ping Liu; Yan Sun

doi:10.4028/www.scientific.net/AMR.651.937

Paper Titles

Applications of Cloud Calculation in the Intelligence Transportation System
p.917

Matching the Russian HIL with the EILOG06 Logging System
p.922

The Development of a Logging Signal Converter between PCM and DTB
p.926

Inductance Parameter Simulation Analysis and Measurement of Permanent Magnet Synchronous Motors
p.931

Dynamic Surface Neural Control for a Class of Nonlinear Time-Varying Delay Systems Preceded by Unknown Hysteresis
p.937

Constrained Epistemic Extension on Agent Knowledge Acquisition
p.943

Design and Implementation of Dam Safety Monitoring and Management System
p.949

Matrix Structure and Cryptographic Properties of Rotation Symmetric H Boolean Functions
p.955

MEMS Tri-Axial Tactile Sensor for Sensorized Guide Wire in Catheterization Application
p.961

HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 651Dynamic Surface Neural Control for a Class of...

Dynamic Surface Neural Control for a Class of Nonlinear Time-Varying Delay Systems Preceded by Unknown Hysteresis

Abstract:

In this paper, a new robust adaptive neural dynamic surface control is proposed for a class of time-varying delay nonlinear systems preceded by backlash-like hysteresis. Compared with the present schemes of dealing with time-varying delay and hysteresis input, the main advantages of the proposed scheme are that the prespecified transient and steady state performance of tracking error can be guaranteed for the first time when using DSC to deal with the time-varing delays; the computational burden can be greatly reduced and the explosion of complexity problem inherent in backstepping control can be eliminated. It is proved that the new scheme can guarantee all the closed-loop signals semi-globally uniformly ultimate bounded. Simulation results are presented to demonstrate the validity of the proposed scheme.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volume 651)

Pages:

937-942

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.651.937

Citation:

Cite this paper

Online since:

January 2013

Authors:

Xiu Yu Zhang, Cui Ping Liu, Yan Sun

Keywords:

Backlash-Like Hysteresis, Dynamic Surface Control (DSC), Prespecified Tracking Error, Unknown Time-Varying Delay

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] G. V. Webb, D. C. Lagoudas, A. J. Kurdila, Hysteresis modeling of SMA actuators for control applications, J. Intell. Mater. Syst. Struct, 9(1998) 432-448.

DOI: 10.1177/1045389x9800900605

Google Scholar

[2] B. Ren, S. S. Ge, T. H. Lee, C. Y. Su, Adaptive neural control for a class of nonlinear systems with uncertain hysteresis inputs and time-varing state delays, IEEE Trans. Neural Netw., 20(2009) 1148-1162.

DOI: 10.1109/tnn.2009.2016959

Google Scholar

[3] Charalampos P. Bechlioulis, George A. Rovithakis, Adaptive control with guaranteed transient and steady state tracking error bounds for strict feedback systems, Automatica, 43(2007) 31-43.

DOI: 10.1016/j.automatica.2008.08.012

Google Scholar

[4] X. Tan, and J.S. Baras, Modeling and control of hysteresis in magnetostrictive actuators, Automatica, 40(2004) 1469-1480.

DOI: 10.1016/j.automatica.2004.04.006

Google Scholar