A Method for Constructing Multiply Closed Strategies in the Problem of Minimizing the Total Control Impulse in a Linear System with Disturbance

This paper deals with an optimal control problem for a linear discrete-time system subject to unknown bounded disturbance. It is required to steer the system robustly to a terminal set with the smallest total impulse of the control function. A problem of constructing an optimal multiply closed control strategy is formulated. It is assumed that the system states are measured and the control is corrected at some future times. A method for calculating an optimal strategy based on reducing the formulated problems to linear programs is proposed.

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Publication Details

Journal
Proceedings of the Steklov Institute of Mathematics
Published
2024-12-01
DOI
https://doi.org/10.1134/s008154382407006x
Primary Topic
Aerospace Engineering and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
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article

A Method for Constructing Multiply Closed Strategies in the Problem of Minimizing the Total Control Impulse in a Linear System with Disturbance

Н. М. Дмитрук
Proceedings of the Steklov Institute of Mathematics
Aerospace Engineering and Control Systems
article

A Method for Constructing Multiply Closed Strategies in the Problem of Minimizing the Total Control Impulse in a Linear System with Disturbance

Н. М. Дмитрук
article en

Abstract

This paper deals with an optimal control problem for a linear discrete-time system subject to unknown bounded disturbance. It is required to steer the system robustly to a terminal set with the smallest total impulse of the control function. A problem of constructing an optimal multiply closed control strategy is formulated. It is assumed that the system states are measured and the control is corrected at some future times. A method for calculating an optimal strategy based on reducing the formulated problems to linear programs is proposed.

Proceedings of the Steklov Institute of MathematicsVol. 327(S1)
Belarusian State University (BY)
Openalex Percentile: Top 53%
Aerospace Engineering and Control Systems
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