Adaptive backstepping stabilization of nonlinear uncertain systems with quantized input signal
In this paper, we study a general class of strict feedback nonlinear systems, where the input signal takes quantized values. We consider a stabilization problem for nonlinear uncertain systems via adaptive backstepping approach. The control design is achieved by introducing a hysteretic quantize...
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sg-ntu-dr.10356-800492020-03-07T13:57:24Z Adaptive backstepping stabilization of nonlinear uncertain systems with quantized input signal Zhou, Jing Wen, Changyun Yang, Guanghong School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering In this paper, we study a general class of strict feedback nonlinear systems, where the input signal takes quantized values. We consider a stabilization problem for nonlinear uncertain systems via adaptive backstepping approach. The control design is achieved by introducing a hysteretic quantizer to avoid chattering and using backstepping technique. A guideline is derived to select the parameters of the quantizer. The designed controller together with the quantizer ensures the stability of the closed loop system in the sense of signal boundedness. Keywords: Adaptive control, backstepping, quantized control, nonlinear systems, hysteretic quantizer Accepted version 2014-05-26T01:56:48Z 2019-12-06T13:39:29Z 2014-05-26T01:56:48Z 2019-12-06T13:39:29Z 2013 2013 Journal Article Zhou, J., Wen, C., & Yang, G. (2014). Adaptive Backstepping Stabilization of Nonlinear Uncertain Systems With Quantized Input Signal. IEEE Transactions on Automatic Control, 59(2), 460-464. 0018-9286 https://hdl.handle.net/10356/80049 http://hdl.handle.net/10220/19442 10.1109/TAC.2013.2270870 en IEEE transactions on automatic control © 2013 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, 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 component of this work in other works. The published version is available at: [http://dx.doi.org/10.1109/TAC.2013.2270870]. application/pdf |
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DRNTU::Engineering::Electrical and electronic engineering Zhou, Jing Wen, Changyun Yang, Guanghong Adaptive backstepping stabilization of nonlinear uncertain systems with quantized input signal |
description |
In this paper, we study a general class of strict
feedback nonlinear systems, where the input signal takes quantized
values. We consider a stabilization problem for nonlinear
uncertain systems via adaptive backstepping approach. The
control design is achieved by introducing a hysteretic quantizer to
avoid chattering and using backstepping technique. A guideline
is derived to select the parameters of the quantizer. The designed
controller together with the quantizer ensures the stability of the
closed loop system in the sense of signal boundedness.
Keywords: Adaptive control, backstepping, quantized control,
nonlinear systems, hysteretic quantizer |
author2 |
School of Electrical and Electronic Engineering |
author_facet |
School of Electrical and Electronic Engineering Zhou, Jing Wen, Changyun Yang, Guanghong |
format |
Article |
author |
Zhou, Jing Wen, Changyun Yang, Guanghong |
author_sort |
Zhou, Jing |
title |
Adaptive backstepping stabilization of nonlinear uncertain systems with quantized input signal |
title_short |
Adaptive backstepping stabilization of nonlinear uncertain systems with quantized input signal |
title_full |
Adaptive backstepping stabilization of nonlinear uncertain systems with quantized input signal |
title_fullStr |
Adaptive backstepping stabilization of nonlinear uncertain systems with quantized input signal |
title_full_unstemmed |
Adaptive backstepping stabilization of nonlinear uncertain systems with quantized input signal |
title_sort |
adaptive backstepping stabilization of nonlinear uncertain systems with quantized input signal |
publishDate |
2014 |
url |
https://hdl.handle.net/10356/80049 http://hdl.handle.net/10220/19442 |
_version_ |
1681037346242297856 |