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Robust event-driven tracking control with preassigned performance for uncertain input-quantized nonlinear pure-feedback systems.

Authors :
Choi, Yun Ho
Yoo, Sung Jin
Source :
Journal of the Franklin Institute. May2018, Vol. 355 Issue 8, p3567-3582. 16p.
Publication Year :
2018

Abstract

This paper presents a simplified design methodology for robust event-driven tracking control of uncertain nonlinear pure-feedback systems with input quantization. All nonlinearities and quantization parameters are assumed to be completely unknown. Different from the existing event-driven control approaches for systems with completely unknown nonlinearities, the main contribution of this paper is to design a simple event-based tracking scheme with preassigned performance, without the use of adaptive function approximators and adaptive mirror models. It is shown in the Lyapunov sense that the proposed event-driven low-complexity tracker consisting of nonlinearly transformed error surfaces and a triggering condition can achieve the preselected transient and steady-state performance of control errors in the presence of the input quantization. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00160032
Volume :
355
Issue :
8
Database :
Academic Search Index
Journal :
Journal of the Franklin Institute
Publication Type :
Periodical
Accession number :
129207236
Full Text :
https://doi.org/10.1016/j.jfranklin.2018.03.004