Please use this identifier to cite or link to this item: https://doi.org/10.1002/acs.888
Title: Adaptive estimation and rejection of unknown sinusoidal disturbances through measurement feedback for a class of non-minimum phase non-linear MIMO systems
Authors: Lan, W. 
Chen, B.M. 
Ding, Z.
Keywords: Adaptive estimation
Disturbance estimation
Disturbance rejection
Non-linear systems
Non-minimum-phase systems
Issue Date: Mar-2006
Source: Lan, W., Chen, B.M., Ding, Z. (2006-03). Adaptive estimation and rejection of unknown sinusoidal disturbances through measurement feedback for a class of non-minimum phase non-linear MIMO systems. International Journal of Adaptive Control and Signal Processing 20 (2) : 77-97. ScholarBank@NUS Repository. https://doi.org/10.1002/acs.888
Abstract: This paper develops an adaptive estimation method to estimate unknown disturbances in a class of non-minimum phase non-linear MIMO systems. The unknown disturbances are generated by an unknown linear exosystem. The frequencies, phases and amplitudes of the disturbances are unknown, the only available information of the disturbances is the number of distinctive frequencies. The system considered in this paper is a class of MIMO non-linear systems in the output feedback form which can be non-minimum phase. The proposed estimation algorithm provides exponentially convergent estimates of system states, unknown disturbances in the system and frequencies of the disturbances characterized by the eigenvalues of the exosystem. Moreover, based on the stabilization controller for the disturbance free system, the estimates of the disturbances are used to solve the disturbance rejection problem. The unknown disturbances are compensated completely with the stability of the whole closed-loop system. Copyright © 2006 John Wiley & Sons, Ltd.
Source Title: International Journal of Adaptive Control and Signal Processing
URI: http://scholarbank.nus.edu.sg/handle/10635/50859
ISSN: 08906327
DOI: 10.1002/acs.888
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