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Adaptive output feedback quantised tracking control for stochastic nonstrict-feedback nonlinear systems with input saturation.

Authors :
Yang, Yekai
Yu, Zhaoxu
Li, Shugang
Source :
International Journal of Systems Science. Nov2018, Vol. 49 Issue 15, p3130-3145. 16p.
Publication Year :
2018

Abstract

This paper is concerned with the problem of adaptive output feedback quantised tracking control for a class of stochastic nonstrict-feedback nonlinear systems with asymmetric input saturation. Especially, both input and output signals are quantised by two sector-bounded quantisers. In order to solve the technical difficulties originating from asymmetric saturation nonlinearities and sector-bounded quantisation errors, some special technique, approximation-based methods and Gaussian error function-based continuous differentiable model are exploited. Meanwhile, an observer including the quantised input and output signals is designed to estimate the states. Then, a novel output feedback adaptive quantised control scheme is proposed to ensure that all signals in the closed-loop system are 4-moment (2-moment) semi-globally uniformly ultimately bounded while the output signal follows a desired reference signal. Finally, the effectiveness and applicability of the design methodology is illustrated with two simulation examples. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00207721
Volume :
49
Issue :
15
Database :
Academic Search Index
Journal :
International Journal of Systems Science
Publication Type :
Academic Journal
Accession number :
133103641
Full Text :
https://doi.org/10.1080/00207721.2018.1534025