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Causal state feedback representation for linear quadratic optimal control problems of singular Volterra integral equations

Shuo Han, Ping Lin, Jiongmin Yong

2022Mathematical Control and Related Fields14 citationsDOIOpen Access PDF

Abstract

<p style='text-indent:20px;'>This paper is concerned with a linear quadratic optimal control for a class of singular Volterra integral equations. Our framework covers the problems for fractional differential equations. Under some necessary convexity conditions, an optimal control exists, and can be characterized via Fréchet derivative of the quadratic functional in a Hilbert space or via maximum principle type necessary conditions. However, these (equivalent) characterizations are not causal, meaning that the current value of the optimal control depends on the future values of the optimal state. Practically, this is not feasible. We obtain a causal state feedback representation of the optimal control via a Fredholm integral equation. Finally, a concrete form of our results for fractional differential equations is presented.

Topics & Concepts

MathematicsVolterra integral equationHilbert spaceOptimal controlConvexityIntegral equationRepresentation (politics)Fractional calculusState (computer science)Applied mathematicsQuadratic equationMathematical analysisMathematical optimizationLawGeometryPoliticsPolitical scienceAlgorithmFinancial economicsEconomicsFractional Differential Equations SolutionsNonlinear Differential Equations AnalysisStability and Controllability of Differential Equations
Causal state feedback representation for linear quadratic optimal control problems of singular Volterra integral equations | Litcius