@article{69d0829e68e844dd87ea1ac565393bf8,
title = "Adaptive optimal output regulation of linear discrete-time systems based on event-triggered output-feedback",
abstract = "This paper presents novel event-triggered control approaches to solve the adaptive optimal output regulation problem for a class of linear discrete-time systems. Different from most existing research on output regulation problems, the developed adaptive optimal control approaches are based on (1) output-feedback instead of full-state or partial-state feedback, (2) adaptive dynamic programming (ADP) which provides approximate solutions of the optimal control problem without requiring the precise knowledge of the plant dynamics, and (3) an event-triggering mechanism that reduces the communication between the controller and the plant. It is shown that the system in closed-loop with the developed controllers is asymptotically stable at an equilibrium of interest, and the tracking errors asymptotically converge to zero. Moreover, the suboptimality of the closed-loop system is directly determined by the relative threshold, which is a ratio between the triggering threshold and the actual state. A numerical simulation example is employed to verify the effectiveness of the proposed methodologies.",
keywords = "Adaptive dynamic programming, Event-triggered control, Output regulation",
author = "Fuyu Zhao and Weinan Gao and Tengfei Liu and Jiang, {Zhong Ping}",
note = "Funding Information: This work was supported in part by the National Natural Science Foundation of China under Grants U1911401 and 61633007 , Consulting Research Project of the Chinese Academy of Engineering ( 2019-XZ-7 ), and in part by the U.S. National Science Foundation under Grant EPCN-1903781 and CMMI-2138206 . The material in this paper was not presented at any conference. This paper was recommended for publication in revised form by Associate Editor Kyriakos G. Vamvoudakis under the direction of Editor Miroslav Krstic. Funding Information: Prof. Jiang is a recipient of the prestigious Queen Elizabeth II Fellowship Award from the Australian Research Council, CAREER Award from the U.S. National Science Foundation, JSPS Invitation Fellowship from the Japan Society for the Promotion of Science, Distinguished Overseas Chinese Scholar Award from the NSF of China, and several best paper awards. He has served as Deputy Editor-in-Chief, Senior Editor and Associate Editor for numerous journals. Prof. Jiang is a Fellow of the IEEE, a Fellow of the IFAC, a Fellow of the CAA and is among the Clarivate Analytics Highly Cited Researchers. In 2021, he is elected as a foreign member of the Academia Europaea. Publisher Copyright: {\textcopyright} 2021 Elsevier Ltd",
year = "2022",
month = mar,
doi = "10.1016/j.automatica.2021.110103",
language = "English (US)",
volume = "137",
journal = "Automatica",
issn = "0005-1098",
publisher = "Elsevier Limited",
}