Estimation and compensation for Lipschitz nonlinear discrete-time systems subjected to unknown measurement delays

Gao, Zhiwei (2015) Estimation and compensation for Lipschitz nonlinear discrete-time systems subjected to unknown measurement delays. IEEE Transactions on Industrial Electronics, 2 (9). pp. 5950-5961. ISSN 0278-0046

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Official URL: https://doi.org/10.1109/TIE.2015.2421877

Abstract

Unknown measurement delays usually degrade system performance, and even damage the system under output feedback control, which motivates us to develop an effective method to attenuate or offset the adverse effect from the measurement delays. In this paper, an augmented observer is proposed for discrete-time Lipschitz nonlinear systems subjected to unknown measurement delays, enabling a simultaneous estimation for system states and perturbed terms caused by the output delays. On the basis of the estimates, a sensor compensation technique is addressed to remove the influence from the measurement delays to the system performance. Furthermore, an integrated robust estimation and compensation technique is proposed to decouple constant piece-wise disturbances, attenuate other disturbances/noises, and offset the adverse effect caused by the measurement delays. The proposed methods are applied to a two-stage chemical reactor with delayed recycle, and an electro-mechanical servo system, which demonstrates the effectiveness of the present techniques.

Item Type: Article
Additional Information: (c) 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Uncontrolled Keywords: discrete-time systems, measurement delays, nonlinear systems observers, robustness, signal compensation
Subjects: H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Dr Zhiwei Gao
Date Deposited: 26 May 2015 08:48
Last Modified: 31 Jul 2021 13:51
URI: http://nrl.northumbria.ac.uk/id/eprint/22546

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