Adaptive dynamic surface control for a class of strict-feedback nonlinear systems with unknown backlash-like hysteresis

In this paper, we investigate the control design for a class of strict-feedback nonlinear systems preceded by unknown backlash-like hysteresis. Using the characteristics of backlash-like hysteresis, adaptive dynamic surface control (DSC) is developed without constructing a hysteresis inverse. The ex...

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Bibliographic Details
Published in2009 American Control Conference pp. 4482 - 4487
Main Authors Beibei Ren, Phyo Phyo San, Shuzhi Sam Ge, Tong Heng Lee
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.06.2009
Subjects
Adaptive control
Control design
Control system synthesis
Control systems
Dynamic surface control (DSC)
Explosions
Hysteresis
neural networks(NNs)
Nonlinear control systems
Nonlinear dynamical systems
Nonlinear systems
Programmable control
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ISBN142444523X
9781424445233
ISSN0743-1619
DOI10.1109/ACC.2009.5160295

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Summary:In this paper, we investigate the control design for a class of strict-feedback nonlinear systems preceded by unknown backlash-like hysteresis. Using the characteristics of backlash-like hysteresis, adaptive dynamic surface control (DSC) is developed without constructing a hysteresis inverse. The explosion of complexity in traditional backstepping design is avoided by utilizing DSC. Function uncertainties are compensated for using neural networks due to their universal approximation capabilities. Through Lyapunov synthesis, the closed-loop control system is proved to be semi-globally uniformly ultimately bounded (SGUUB), and the tracking error converges to a small neighborhood of zero. Simulation results are provided to illustrate the performance of the proposed approach.
ISBN:142444523X
9781424445233
ISSN:0743-1619
DOI:10.1109/ACC.2009.5160295