Input-to-state stability and inverse optimality of predictor feedback for multi-input linear systems

被引:31
作者
Cai, Xiushan [1 ]
Bekiaris-Liberis, Nikolaos [2 ,3 ]
Krstic, Miroslav [4 ]
机构
[1] Zhejiang Normal Univ, Dept Elect & Commun Engn, Jinhua 321004, Peoples R China
[2] Tech Univ Crete, Dept Elect & Comp Engn, Khania 73100, Greece
[3] Tech Univ Crete, Dept Prod Engn & Management, Khania 73100, Greece
[4] Univ Calif San Diego, Dept Mech Aerosp Engn, La Jolla, CA 92093 USA
基金
欧盟地平线“2020”; 中国国家自然科学基金;
关键词
Delay compensation; Predictor feedback; Multi-input systems; Input-to-state stabilization; Inverse optimality; Robustness; WAVE ACTUATOR DYNAMICS; ADAPTIVE-CONTROL; LTI SYSTEMS; TIME; ROBUSTNESS; STABILIZATION;
D O I
10.1016/j.automatica.2019.02.038
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
For the "exact" predictor-feedback control design, recently introduced by Tsubakino, Krstic, and Oliveira for multi-input linear systems with distinct input delays, we establish input-to-state stability, with respect to additive plant disturbances, as well as robustness to constant multiplicative uncertainties affecting the inputs. We also show that the exact predictor-feedback controller is inverse optimal with respect to a meaningful differential game problem. Our proofs capitalize on the availability of a backstepping transformation, which is formulated appropriately in a recursive manner. An example, computed numerically, is provided to illustrate the validity of the developed results. (C) 2019 Elsevier Ltd. All rights reserved.
引用
收藏
页码:549 / 557
页数:9
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