Please use this identifier to cite or link to this item: https://doi.org/10.1109/TNN.2003.813823
Title: Neural-network control of nonaffine nonlinear system with zero dynamics by state and output feedback
Authors: Ge, S.S. 
Zhang, T.
Keywords: High-gain observer
Neural networks
Nonaffine system
Output feedback control
Zero dynamics
Issue Date: Jul-2003
Source: Ge, S.S., Zhang, T. (2003-07). Neural-network control of nonaffine nonlinear system with zero dynamics by state and output feedback. IEEE Transactions on Neural Networks 14 (4) : 900-918. ScholarBank@NUS Repository. https://doi.org/10.1109/TNN.2003.813823
Abstract: This paper focuses on adaptive control of non-affine nonlinear systems with zero dynamics using multilayer neural networks. Through neural network approximation, state feedback control is firstly investigated for nonaffine single-input-single-output (SISO) systems. By using a high gain observer to reconstruct the system states, an extension is made to output feedback neural-network control of nonaffine systems, whose states and time derivatives of the output are unavailable. It is shown that output tracking errors converge to adjustable neighborhoods of the origin for both state feedback and output feedback control.
Source Title: IEEE Transactions on Neural Networks
URI: http://scholarbank.nus.edu.sg/handle/10635/56787
ISSN: 10459227
DOI: 10.1109/TNN.2003.813823
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