Robust event-driven tracking control with preassigned performance for uncertain input-quantized nonlinear pure-feedback systems
- Authors
- Choi, Yun Ho; Yoo, Sung Jin
- Issue Date
- May-2018
- Publisher
- PERGAMON-ELSEVIER SCIENCE LTD
- Citation
- JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, v.355, no.8, pp 3567 - 3582
- Pages
- 16
- Journal Title
- JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
- Volume
- 355
- Number
- 8
- Start Page
- 3567
- End Page
- 3582
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/2219
- DOI
- 10.1016/j.jfranklin.2018.03.004
- ISSN
- 0016-0032
1879-2693
- 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. (C) 2018 The Franklin Institute. Published by Elsevier Ltd. All rights reserved.
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Collections - College of ICT Engineering > School of Electrical and Electronics Engineering > 1. Journal Articles
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