«THE BULLETIN OF IRKUTSK STATE UNIVERSITY». SERIES «MATHEMATICS»
«IZVESTIYA IRKUTSKOGO GOSUDARSTVENNOGO UNIVERSITETA». SERIYA «MATEMATIKA»
ISSN 1997-7670 (Print)
ISSN 2541-8785 (Online)

List of issues > Series «Mathematics». 2020. Vol. 34

On Resolution of an Extremum Norm Problem for the Terminal State of a Linear System

Author(s)
V. A. Srochko, E. V. Aksenyushkina
Abstract

We study extremum norm problems for the terminal state of a linear dynamical system using methods of parameterization of admissible controls.

Piecewise continuous controls are approximated in the class of piecewise linear functions on a uniform grid of nodes of the time interval by linear combinations of special support functions. In this case, the restriction of a control of the original problem to the interval induces the same restrictions for the variables of the finite-dimensional problems.

The finite-dimensional version of a minimum norm problem can effectively be resolved with the help of modern convex optimization programs. In the case of two variables, we propose an analytical method of resolution that uses a one-dimensional minimization problem for a parabola over a segment.

For a non-convex norm maximization problem, the finite-dimensional version is resolved globally by exhaustive search over the vertices of a hypercube. The proposed approach provides further insights into global resolution of non-convex optimal control problems and is exemplified by some illustrative problems.

About the Authors

Vladimir Srochko, Dr. Sci. (Phys.–Math.), Prof., Irkutsk State University, 1, K. Marks St., Irkutsk, 664003, Russian Federation, tel.: (3952)521276, e-mail: srochko@math.isu.ru

Elena Aksenyushkina, Cand. Sci. (Phys.–Math.), Assoc. Prof., Baikal State University, 11, Lenin St., Irkutsk, 664015, Russian Federation, tel.: (3952)500008, e-mail: aks.ev@mail.ru

For citation

Srochko V.A., Aksenyushkina E.V. On Resolution of an Extremum Norm Problem for the Terminal State of a Linear System. The Bulletin of Irkutsk State University. Series Mathematics, 2020, vol. 34, pp. 3-17. https://doi.org/10.26516/1997-7670.2020.34.3

Keywords
linear control system, extremum norm problems for the terminal state, piecewise linear approximation, finite-dimensional problems
UDC
517.977
MSC
49J15, 49M25
DOI
https://doi.org/10.26516/1997-7670.2020.34.3
References
  1. Arguchintsev A.V., Dykhta V. A., Srochko V. A. Optimal control: nonlocal conditions, computational methods, and the variational principle of maximum. Russian Mathematics, 2009, vol. 53, no. 1, pp. 1–35.
  2. Antonik V. G., Srochko V. A. Method for nonlocal improvement of extreme controls in the maximization of the terminal state norm. Computational Mathematics and Mathematical Physics, 2009, vol. 49, no. 5, pp. 762–775.
  3. Galyaev A. A., Lysenko P. V. Energy-optimal control of harmonic oscillator. Automation and Remote Control, 2019, vol. 80, pp. 16–29. https://doi.org/10.1134/S0005231019010021
  4. Gorbunov V. K. The reduction of optimal control problems for finite-dimensional. Computational Mathematics and Mathematical Physics, 1978, vol. 18, no. 5, pp. 1083–1095.
  5. Srochko V.A. Iterative methods for solving optimal control problems. Moscow, Fizmatlit Publ., 2000. 160 p. (in Russian)
  6. Srochko V.A., Aksenyushkina E.V. Parameterization of Some Control Problems by Linear Systems. The Bulletin of Irkutsk State University. Series Mathematics, 2019, vol. 30, pp. 83–98. https://doi.org/10.26516/1997-7670.2019.30.83 (in Russian)
  7. Strekalovsky A. S. Elements of nonconvex optimization. Novosibirsk, Nauka Publ., 2003. 356 p. (in Russian)
  8. Strekalovsky A. S., Sharankhaeva E. V. Global search in a nonconvex optimal control problem. Computational Mathematics and Mathematical Physics, 2005, vol. 45, no. 10, pp. 1719–1734.
  9. Sukharev A. G., Timokhov A. V., Fedorov V. V. Course of optimization methods. Moscow, Nauka Publ., 1986. 328 p. (in Russian)
  10. Tyatyushkin A. I. Multi-method technology for optimization of control systems. Novosibirsk, Nauka Publ., 2006. 343 p. (in Russian)
  11. Chernov A.V. On application of Gaussian functions for numerical solution of optimal control problems. Automation and Remote Control, 2019, vol. 80, pp. 1026–1040. https://doi.org/10.1134/S0005231019060035

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