A robust low-complexity tracker design with preassigned performance for uncertain high-order nonlinear systems with unknown time-varying delays and high powers

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초록

A robust low-complexity design methodology is presented for global tracking of uncertain high-order nonlinear systems with unknown time-varying delays. In contrast to the existing literature, this paper assumes that nonlinear bounding functions of time-delay nonlinearities and high powers of virtual and actual control variables are unknown. Furthermore, a delay-independent tracking scheme using nonlinearly transformed error surfaces is simply designed without the knowledge of nonlinear bounding functions of model nonlinearities, the adaptive technique, and the calculation of repeated time derivatives of certain signals. Thus, the proposed tracker is implemented with low complexity. It is recursively shown that the tracking error is preserved within the predefined bounds of transient and steady-state performance in the Lyapunov sense. (c) 2017 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.

키워드

MASTER-SLAVE SYNCHRONIZATION; ADAPTIVE NEURAL-CONTROL; DYNAMIC SURFACE CONTROL; DEAD-ZONE NONLINEARITY; TRIGGERED H-INFINITY; GLOBAL STABILIZATION; FEEDBACK STABILIZATION; INTEGRAL INEQUALITY; RELIABLE CONTROL; LURE SYSTEMS
제목
A robust low-complexity tracker design with preassigned performance for uncertain high-order nonlinear systems with unknown time-varying delays and high powers
저자
Yoo, Sung Jin
DOI
10.1016/j.jfranklin.2017.11.035
발행일
2018-01
유형
Article
저널명
Journal of the Franklin Institute
권
355
호
2
페이지
675 ~ 692