@inproceedings{cc59d62caef44567b8820c2dfd5d9181,
title = "Event-triggered adaptive optimal control using output feedback: An adaptive dynamic programming approach",
abstract = "This paper proposes an event-triggered adaptive optimal output-feedback control method for continuous-time linear systems. With the proposed design, the unmeasurable states are reconstructed by using the measurable input and output data, and the discrete-time algebraic Riccati equation is iteratively solved through adaptive dynamic programming. Then, an event-based feedback strategy is introduced to the closed-loop system to reduce the communication between the controller and the plant. Convergence to the optimal solution and the closed-loop stability analysis are carried out by using Lyapunov method. Two numerical examples are employed to verify the effectiveness of the design.",
keywords = "Adaptive dynamic programming, Event-triggered feedback, Output feedback",
author = "Fuyu Zhao and Jiang, {Zhong Ping} and Tengfei Liu",
note = "Publisher Copyright: {\textcopyright} 2019 Technical Committee on Control Theory, Chinese Association of Automation.; 38th Chinese Control Conference, CCC 2019 ; Conference date: 27-07-2019 Through 30-07-2019",
year = "2019",
month = jul,
doi = "10.23919/ChiCC.2019.8866079",
language = "English (US)",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "1979--1984",
editor = "Minyue Fu and Jian Sun",
booktitle = "Proceedings of the 38th Chinese Control Conference, CCC 2019",
}