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This article is cited in 1 scientific paper (total in 1 paper)
Linear Systems
Optimal control of linear time-invariant discrete-time systems without prior parametric identification
N. M. Dmitruk, E. A. Manzhulina Belarusian State University, Minsk, 220030 Belarus
Abstract:
We consider the problem of optimal control of a linear time-invariant discrete-time system by inaccurate measurements of its output signals subject to guaranteed satisfaction of geometric constraints on the output signals. We study the case in which a minimal realization of the system in the state space is known and the case where the parametric model of the system is not known. A novel method is proposed for solving the problem in the case of an unknown model. The method is based on a single observed trajectory of the input and output signals of the system and allows omitting the stage of parametric identification of the system.
Keywords:
optimal control, linear discrete-time system, inaccurate measurement, unknown model, data-driven control.
Received: 19.01.2021 Revised: 21.09.2021 Accepted: 15.10.2021
Citation:
N. M. Dmitruk, E. A. Manzhulina, “Optimal control of linear time-invariant discrete-time systems without prior parametric identification”, Avtomat. i Telemekh., 2022, no. 2, 3–21; Autom. Remote Control, 83:2 (2022), 165–179
Linking options:
https://www.mathnet.ru/eng/at15896 https://www.mathnet.ru/eng/at/y2022/i2/p3
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