Set-Valued and Variational Analysis · 2018 · 14 citations · 23 references
Natural SciencesMathematicsCost-minimization AnalysisOptimizationProcess ControlControl TheoryConvex AnalysisConvex OptimizationNonlinear ControlOptimal ControlOptimization TheoryBang-bang ControlConvexityConvexity AnalysisLinear-quadratic ControlNewton ConvergenceNewton's Method As A Fixed Point ProcessRegularity CriteriaStrong Convexity
The paper investigates the Lipschitz/Hölder stability with respect to perturbations of optimal control problems with linear dynamic and cost functional which is quadratic in the state and linear in the control variable. The optimal control is assumed to be of bang-bang type and the problem to enjoy certain convexity properties. Conditions for bi-metric regularity and (Hölder) metric sub-regularity are established, involving only the order of the zeros of the associated switching function and smoothness of the data. These results provide a basis for the investigation of various approximation methods. They are utilized in this paper for the convergence analysis of a Newton-type method applied to optimal control problems which are affine with respect to the control.
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Ivar Ekeland · Journal of Mathematical Analysis and Applications · 1974 · 2.3K citations · Full text