Asymptotic stabilization of nonlinear systems with long input delay via memoryless feedback: A linearization methode

被引:22
作者
Lin, Wei [1 ]
Wang, Yuanjiu [1 ]
Liu, Xueliang [2 ]
机构
[1] Case Western Reserve Univ, Dept Elect Comp & Syst Engn, Cleveland, OH 44106 USA
[2] Dongguan Univ Technol, Sch Elect Engn, Dongguan, Guangdong, Peoples R China
关键词
Long input delay; Local asymptotic stabilization; Local forward completeness; Memoryless state and; or output feedback; MIMO nonlinear systems; Razumikhin method; TRUNCATED PREDICTOR FEEDBACK; FINITE SPECTRUM ASSIGNMENT; LINEAR-SYSTEMS; OUTPUT LINEARIZATION; CASCADE SYSTEMS; STATE;
D O I
10.1016/j.automatica.2021.109731
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper considers the problem of how to control nonlinear systems with a large delay in the input. A linearization method is presented to achieve local asymptotic stabilization (LAS) via memoryless state and/or output feedback, for multiple-input/multiple-output (MIMO) nonlinear systems with a large input delay. The development of the linearization technique is based on the Razumikhin theorem, a forward completeness lemma of the FDE (functional differential equation) on a closed and bounded interval, and the previous work on truncated predictor feedback control of linear systems with input delay. (C) 2021 Elsevier Ltd. All rights reserved.
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页数:11
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