@inproceedings{5bacdfcfda444596ac3c59fd6f844373,
title = "Adaptive optimal output regulation: A parametric Lyapunov equation approach",
abstract = "This article delves into a data-driven approach for solving the adaptive optimal output regulation problem in continuous-time linear systems with uncertain dynamics. Employing a class of parametric Lyapunov equations in conjunction with a nominal system model, the initial stabilizing feedback gain is determined to initiate the iterative method. Then, by utilizing a policy-iteration-based technique, we design an optimal control policy to achieve precise output tracking and disturbance rejection. The prescribed convergence characteristics of the closed-loop system directly result from the properties embedded within the solution of the parametric Lyapunov equation. The applicability and performance of the proposed method are demonstrated through a numerical example involving an input-constrained double integrator system.",
keywords = "data-driven algorithm, output regulation, parametric Lyapunov equation, unknown parameters",
author = "\{ul Aabidin Lodhi\}, Zain and Huaiyuan Jiang",
note = "Publisher Copyright: {\textcopyright} 2024 SPIE.; 5th International Conference on Control, Robotics, and Intelligent System, CCRIS 2024 ; Conference date: 23-08-2024 Through 25-08-2024",
year = "2024",
doi = "10.1117/12.3049986",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Chenguang Yang",
booktitle = "Fifth International Conference on Control, Robotics, and Intelligent System, CCRIS 2024",
address = "美国",
}