Adaptive dynamic surface control for disturbance attenuation of nonlinear systems

Sung Jin Yoo; Jin Bae Park; Yoon Ho Choi

doi:10.1007/s12555-009-0602-0

Adaptive dynamic surface control for disturbance attenuation of nonlinear systems

Sung Jin Yoo, Jin Bae Park, Yoon Ho Choi

Department of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

12 Citations (Scopus)

Abstract

This paper proposes an adaptive dynamic surface control (DSC) approach for disturbance attenuation of uncertain nonlinear systems in the parametric strict-feedback form. In the proposed control system, a smooth projection algorithm is employed to train uncertain parameters. The proposed DSC system can overcome the complexity of an actual controller caused by the recursive differentiation of virtual controllers and parameter adaptation laws in the backstepping design procedure. From Lyapunov stability analysis, it is shown that the proposed controller has H∞ tracking performance to attenuate external disturbances.

Original language	English
Pages (from-to)	882-887
Number of pages	6
Journal	International Journal of Control, Automation and Systems
Volume	7
Issue number	6
DOIs	https://doi.org/10.1007/s12555-009-0602-0
Publication status	Published - 2009 Dec

Bibliographical note

Funding Information:
__________ Manuscript received December 9, 2008; accepted August 5, 2009. Recommended by Editorial Board member Sergey Nersesov under the direction of Editor Young Il Lee. This work was supported in part by the Post-doctorate research program at Yonsei University and in part by Yonsei University Institute of TMS Information Technology, a Brain Korea 21 program.

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Computer Science Applications

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10.1007/s12555-009-0602-0

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AB - This paper proposes an adaptive dynamic surface control (DSC) approach for disturbance attenuation of uncertain nonlinear systems in the parametric strict-feedback form. In the proposed control system, a smooth projection algorithm is employed to train uncertain parameters. The proposed DSC system can overcome the complexity of an actual controller caused by the recursive differentiation of virtual controllers and parameter adaptation laws in the backstepping design procedure. From Lyapunov stability analysis, it is shown that the proposed controller has H∞ tracking performance to attenuate external disturbances.

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Adaptive dynamic surface control for disturbance attenuation of nonlinear systems

Abstract

Bibliographical note

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