Rejection of Linearly Bounded Exogenous Disturbances in Linear Control Systems

The problem of rejection of linearly bounded exogenous disturbances, i.e., those growing no faster than a linear function of the system state, is considered for linear control systems. The performance is characterized by the size of the bounding ellipsoid containing the system output. A systematic approach to solving this problem is proposed; it reduces the initial problem to an equivalent parameterized semidefinite programming problem, easily solved numerically. It is based on the technique of linear matrix inequalities and the method of invariant ellipsoids. The efficiency of the proposed procedure is demonstrated using a test example.

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Publication Details

Journal
Journal of Computer and Systems Sciences International
Published
2025-12-01
DOI
https://doi.org/10.1134/s1064230725700741
Primary Topic
Stability and Control of Uncertain Systems
Type
article
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article

Rejection of Linearly Bounded Exogenous Disturbances in Linear Control Systems

M. V. Khlebnikov
Journal of Computer and Systems Sciences International
Stability and Control of Uncertain Systems
article

Rejection of Linearly Bounded Exogenous Disturbances in Linear Control Systems

M. V. Khlebnikov
article en

Abstract

The problem of rejection of linearly bounded exogenous disturbances, i.e., those growing no faster than a linear function of the system state, is considered for linear control systems. The performance is characterized by the size of the bounding ellipsoid containing the system output. A systematic approach to solving this problem is proposed; it reduces the initial problem to an equivalent parameterized semidefinite programming problem, easily solved numerically. It is based on the technique of linear matrix inequalities and the method of invariant ellipsoids. The efficiency of the proposed procedure is demonstrated using a test example.

Journal of Computer and Systems Sciences InternationalVol. 64(6)
Moscow Institute of Physics and Technology (RU), Moscow Power Engineering Institute (RU), V. A. Trapeznikov Institute of Control Sciences (RU), Moscow Aviation Institute (RU)
Openalex Percentile: Top 29%
Stability and Control of Uncertain Systems
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