期刊
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
卷 355, 期 8, 页码 3567-3582出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jfranklin.2018.03.004
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资金
- MSIT (Ministry of Science and ICT), Korea under the ITRC (Information Technology Research Center) support program [IITP-2017-2014-0-00636]
- Human Resources Development of the Korea Institute of Energy Technology Evaluation and Planning (KETEP) - Korea government Ministry of Trade, Industry and Energy [20174030201810]
- Basic Science Research Program through the National Research Foundation of Korea (NRF) - Ministry of Education [NRF-2016R1D1A1B03931312]
- Institute for Information & Communication Technology Planning & Evaluation (IITP), Republic of Korea [2014-1-00636-005] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
- National Research Foundation of Korea [22A20152213084, 2016R1D1A1B03931312] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
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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