Robust Adaptive Finite-Time Parameter Estimation and Control of Nonlinear Systems

J Na, G Herrmann, Xuemei Ren, Muhammad N Mahyuddin, P Barber

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

62 Citations (Scopus)

Abstract

This paper exploits an alternative adaptive
parameter estimation and control approach for nonlinear
systems. An auxiliary filter is developed to derive a
representation of the parameter estimation error, which is
combined with an adaptive law to guarantee the exponential
convergence of the control error as well as the estimation error.
The proposed method is further improved via a sliding mode
technique to achieve the finite-time (FT) error convergence. The
traditional persistent excitation (PE) is simplified as an a priori
verifiable sufficiently rich (SR) requirements on the demand
signal. The robustness of the control schemes with bounded
disturbances is also investigated. The developed methods are
finally tested via simulations.
Translated title of the contributionRobust Adaptive Finite-Time Parameter Estimation and Control of Nonlinear Systems
Original languageEnglish
Title of host publication2011 IEEE Multi-Conference on Systems and Control, Denver
Pages1014-1019
Number of pages6
DOIs
Publication statusPublished - 2011

Bibliographical note

Conference Organiser: IEEE

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    Na, J., Herrmann, G., Ren, X., Mahyuddin, M. N., & Barber, P. (2011). Robust Adaptive Finite-Time Parameter Estimation and Control of Nonlinear Systems. In 2011 IEEE Multi-Conference on Systems and Control, Denver (pp. 1014-1019) https://doi.org/10.1109/ISIC.2011.6045402