@inbook{9f75b7a3b97d46c693409aec856af4fc,
title = "Robust receding-horizon control for linear systems with model uncertainties",
abstract = "In this paper, a method for designing a robust receding-horizon controller for linear systems with model uncertainties is proposed. An upper bound of the worst-case finite-horizon performance index is calculated and then a state-feedback gain, which minimizes the upper bound, is obtained. Using Lyapunov arguments, it is shown that the feasible control law asymptotically stabilizes the closed-loop system. This can be achieved by imposing a terminal inequality condition at the terminal time of the finite-horizon performance index. This design method for the robust receding-horizon controller is extended to tracking problems. Finally some numerical examples are suggested in order to show how these design methods work in real plants compared with the conventional receding-horizon controller.",
author = "Lee, {Kyeong Heon} and Kwon, {Wook Hyun} and Lee, {Joon Hwa}",
year = "1996",
language = "English",
series = "Proceedings of the IEEE Conference on Decision and Control",
pages = "4002--4007",
editor = "Anon",
booktitle = "Proceedings of the IEEE Conference on Decision and Control",
note = "Proceedings of the 35th IEEE Conference on Decision and Control. Part 4 (of 4) ; Conference date: 11-12-1996 Through 13-12-1996",
}