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Adaptive Estimation of Unknown Sinusoidal Disturbances in Non-minimum-Phase Nonlinear Systems

Author:Ding Zhengtao, University of Manchester, United Kingdom
Topic:1.2 Adaptive and Learning Systems
Session:Optimal and Adaptive Control
Keywords: Disturbance, Estimation, Non-minimum-phase systems, Nonlinear systems, Adaptive systems, Uncertainty

Abstract

This paper deals with adaptive estimation of unknown disturbances in a class of nonminimum phase nonlinear systems. The unknown disturbances are combination of sinusoidal disturbances with unknown frequencies, unknown phases and amplitudes. The only information of the unknown disturbances is the number of distinctive frequencies inside. The class of nonlinear systems considered in this paper consists of nonlinear systems in the output feedback form and the systems may be nonminimum phase, ie, with unstable zero dynamics. An adaptive estimation algorithm is developed to give exponentially convergent estimates of the unknown disturbance and the system states. The asymptotic convergent estimates of unknown frequencies are also obtained. The proposed estimation algorithm works for both minimum phase and nonminimum phase nonlinear systems in output feedback form.