Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/106443
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Type: Journal article
Title: Observer-based tracking control for MIMO pure-feedback nonlinear systems with time-delay and input quantisation
Author: Liu, W.
Lim, C.
Shi, P.
Xu, S.
Citation: International Journal of Control, 2017; 90(11):2433-2448
Publisher: Taylor & Francis
Issue Date: 2017
ISSN: 0020-7179
1366-5820
Statement of
Responsibility: 
Wenhui Liu, Cheng-Chew Lim, Peng Shi and Shengyuan Xu
Abstract: In addressing the adaptive neural backstepping control for multiple-input and multiple-output nonlinear systems in pure-feedback form with time-delay and input quantisation, we construct a high-gain state observer and an output-feedback adaptive control scheme using backstepping method, with neural networks to estimate the uncertain nonlinear functions. Then, we propose an output feedback neural controller that ensures all the state trajectories in the time-delay quantised nonlinear systems are ultimately bounded, with the control signal being quantised by either a hysteretic quantiser or a logarithmic quantiser. An illustrative example is presented to show the applicability of the new control method developed.
Keywords: Adaptive backstepping control; pure-feedback nonlinear systems; multiple-input and multiple-output (MIMO); neural networks; input quantisation
Rights: © 2016 Informa UK Limited, trading as Taylor & Francis Group
RMID: 0030059279
DOI: 10.1080/00207179.2016.1250162
Grant ID: http://purl.org/au-research/grants/arc/DP140102180
http://purl.org/au-research/grants/arc/LP140100471
Appears in Collections:Electrical and Electronic Engineering publications

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