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Author:

Yu, Xiaowei (Yu, Xiaowei.) | Lin, Yan (Lin, Yan.)

Indexed by:

EI Scopus SCIE

Abstract:

In this article, an adaptive quantized tracking control for a class of nonlinear systems with both input and state quantization is investigated. For the state quantization, instead of quantizing all the system states, only two signals need to be quantized and transmitted, which greatly reduces the communication burden. It is proved that with this proposed scheme, global stability of the closed-loop system can be achieved even with very coarse quantizers, and the tracking errors can be made arbitrarily small by choosing some design parameters appropriately.

Keyword:

nonlinear systems Adaptive control quantization tracking control

Author Community:

  • [ 1 ] [Yu, Xiaowei]Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Lin, Yan]Shandong Univ Sci & Technol, Coll Elect Engn & Automat, Qingdao 226590, Peoples R China

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Source :

IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS

ISSN: 2168-2216

Year: 2023

Issue: 4

Volume: 53

Page: 2554-2559

8 . 7 0 0

JCR@2022

ESI Discipline: ENGINEERING;

ESI HC Threshold:19

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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