Adaptive Tracking Control for a Class of Nonlinear Systems with Quantized Input

DOI

10.2991/icmse-18.2018.88How to use a DOI?

Keywords

Nonlinear systems, Quantization, Nussbaum-gain, Adaptive control.

Abstract

We design an adaptive quantized tracking control for a class of nonlinear systems with unknown parameter combined with quantized input. It is proved that by using the proposed method, all signals of the closed-loop system are bounded. Moreover, a very coarse quantization input can be obtained and the tracking error can be made small by choosing suitable design parameters.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xiaowei Yu
AU  - Yan Lin
PY  - 2018/05
DA  - 2018/05
TI  - Adaptive Tracking Control for a Class of Nonlinear Systems with Quantized Input
BT  - Proceedings of the 2018 8th International Conference on Manufacturing Science and Engineering (ICMSE 2018)
PB  - Atlantis Press
SP  - 464
EP  - 468
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmse-18.2018.88
DO  - 10.2991/icmse-18.2018.88
ID  - Yu2018/05
ER  -