Standard
On Optimal Positional Strategies in Fractional Optimal Control Problems: book chapter. /
Gomoyunov, Mikhail.
Mathematical Optimization Theory and Operations Research 22nd International Conference, MOTOR 2023, Ekaterinburg, Russia, July 2–8, 2023, Proceedings: book. ed. / Michael Khachay; Yury Kochetov; Anton Eremeev; Oleg Khamisov. Switzerland: Springer Cham, 2023. p. 255-265 Chapter 17 (Mathematical Optimization Theory and Operations Research; Vol. 13930).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Harvard
Gomoyunov, M 2023,
On Optimal Positional Strategies in Fractional Optimal Control Problems: book chapter. in M Khachay, Y Kochetov, A Eremeev & O Khamisov (eds),
Mathematical Optimization Theory and Operations Research 22nd International Conference, MOTOR 2023, Ekaterinburg, Russia, July 2–8, 2023, Proceedings: book., Chapter 17, Mathematical Optimization Theory and Operations Research, vol. 13930, Springer Cham, Switzerland, pp. 255-265.
https://doi.org/10.1007/978-3-031-35305-5_17
APA
Gomoyunov, M. (2023).
On Optimal Positional Strategies in Fractional Optimal Control Problems: book chapter. In M. Khachay, Y. Kochetov, A. Eremeev, & O. Khamisov (Eds.),
Mathematical Optimization Theory and Operations Research 22nd International Conference, MOTOR 2023, Ekaterinburg, Russia, July 2–8, 2023, Proceedings: book (pp. 255-265). [Chapter 17] (Mathematical Optimization Theory and Operations Research; Vol. 13930). Springer Cham.
https://doi.org/10.1007/978-3-031-35305-5_17
Vancouver
Gomoyunov M.
On Optimal Positional Strategies in Fractional Optimal Control Problems: book chapter. In Khachay M, Kochetov Y, Eremeev A, Khamisov O, editors, Mathematical Optimization Theory and Operations Research 22nd International Conference, MOTOR 2023, Ekaterinburg, Russia, July 2–8, 2023, Proceedings: book. Switzerland: Springer Cham. 2023. p. 255-265. Chapter 17. (Mathematical Optimization Theory and Operations Research). doi: 10.1007/978-3-031-35305-5_17
Author
BibTeX
@inproceedings{ef93e6d581cf4306af93c81e2aed06e5,
title = "On Optimal Positional Strategies in Fractional Optimal Control Problems: book chapter",
abstract = "We consider an optimal control problem for a dynamical system described by a Caputo fractional differential equation and a Mayer cost functional. We propose a new method for constructing an optimal positional control strategy, which allows us to generate near optimal controls for any initial system state by using time-discrete recursive feedback control procedures. The method is based on the knowledge of the optimal result functional and uses a special Lyapunov–Krasovskii functional.",
author = "Mikhail Gomoyunov",
year = "2023",
month = jun,
day = "26",
doi = "10.1007/978-3-031-35305-5_17",
language = "English",
series = "Mathematical Optimization Theory and Operations Research",
publisher = "Springer Cham",
pages = "255--265",
editor = "Michael Khachay and Yury Kochetov and Anton Eremeev and Oleg Khamisov",
booktitle = "Mathematical Optimization Theory and Operations Research 22nd International Conference, MOTOR 2023, Ekaterinburg, Russia, July 2–8, 2023, Proceedings",
address = "United Kingdom",
}
RIS
TY - GEN
T1 - On Optimal Positional Strategies in Fractional Optimal Control Problems
T2 - book chapter
AU - Gomoyunov, Mikhail
PY - 2023/6/26
Y1 - 2023/6/26
N2 - We consider an optimal control problem for a dynamical system described by a Caputo fractional differential equation and a Mayer cost functional. We propose a new method for constructing an optimal positional control strategy, which allows us to generate near optimal controls for any initial system state by using time-discrete recursive feedback control procedures. The method is based on the knowledge of the optimal result functional and uses a special Lyapunov–Krasovskii functional.
AB - We consider an optimal control problem for a dynamical system described by a Caputo fractional differential equation and a Mayer cost functional. We propose a new method for constructing an optimal positional control strategy, which allows us to generate near optimal controls for any initial system state by using time-discrete recursive feedback control procedures. The method is based on the knowledge of the optimal result functional and uses a special Lyapunov–Krasovskii functional.
UR - http://www.scopus.com/inward/record.url?partnerID=8YFLogxK&scp=85164930615
U2 - 10.1007/978-3-031-35305-5_17
DO - 10.1007/978-3-031-35305-5_17
M3 - Conference contribution
T3 - Mathematical Optimization Theory and Operations Research
SP - 255
EP - 265
BT - Mathematical Optimization Theory and Operations Research 22nd International Conference, MOTOR 2023, Ekaterinburg, Russia, July 2–8, 2023, Proceedings
A2 - Khachay, Michael
A2 - Kochetov, Yury
A2 - Eremeev, Anton
A2 - Khamisov, Oleg
PB - Springer Cham
CY - Switzerland
ER -
