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 | Citation: | 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 |
Appears in Collections: | Staff Publications |
Show full item record
Files in This Item:
There are no files associated with this item.
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.