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An Indirect Method for Regular State-Constrained Optimal Control Problems in Flow Fields

Roman Chertovskih, Dmitry Karamzin, Nathalie T. Khalil, Фернандо Лобо Перейра

2020IEEE Transactions on Automatic Control34 citationsDOI

Abstract

This article concerns an indirect method to solve state-constrained optimal control problems. The dynamics of the controlled system is given by ordinary differential equations encompassing the effect of a steady flow field in which the moving object is immersed. The proposed method is based on the maximum principle in Gamkrelidze's form. At the core of the approach is a regularity hypothesis which entails the continuity of the measure Lagrange multiplier associated with the state constraint. This property plays key role in shaping a properly modified shooting method to solve the two-point boundary value problem resulting from the maximum principle. Illustrative applications to time optimal control problems are considered and results of numerical experiments are provided.

Topics & Concepts

Lagrange multiplierOptimal controlMathematicsMaximum principleOrdinary differential equationMathematical optimizationConstraint (computer-aided design)Constraint algorithmBoundary value problemState (computer science)Shooting methodControl theory (sociology)Differential equationControl (management)Computer scienceMathematical analysisAlgorithmArtificial intelligenceGeometryAerospace Engineering and Control SystemsSpacecraft Dynamics and ControlGuidance and Control Systems