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On a Solution of a Guarantee Optimization Problem Under the Functional Constraints on the Disturbance

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Abstract

The paper deals with a control problem for a dynamical system under disturbances. A motion of the system is considered on a finite interval of time and described by a nonlinear ordinary differential equation. The control is aimed at minimization of a given quality index. In addition to geometric constraints on the control and disturbance, it is supposed that the disturbance satisfies a compact functional constraint. Namely, all disturbance realizations that can happen in the system belong to some unknown set that is compact in the space \(L_1\). Within the game-theoretical approach, the problem of optimizing the guaranteed result of the control is studied. For solving this problem, we propose a new construction of the optimal control strategy. In the linear-convex case, this strategy can be numerically realized on the basis of the upper convex hulls method. Examples are considered. Results of numerical simulations are given.

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Acknowledgements

We thank the referees for their careful reading and their remarks that allowed us to improve the paper.

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Correspondence to Mikhail Gomoyunov.

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This work was supported by the Integrated Program for Fundamental Research of the Ural Branch of the Russian Academy of Sciences (Project No. 18-1-1-10).

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Gomoyunov, M., Serkov, D. On a Solution of a Guarantee Optimization Problem Under the Functional Constraints on the Disturbance. Dyn Games Appl 9, 700–723 (2019). https://doi.org/10.1007/s13235-018-0279-1

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  • DOI: https://doi.org/10.1007/s13235-018-0279-1

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