As a complement to two recent papers by Toan and Yao (Mordukhovich subgradients of the value function to a parametric discreteoptimalcontrolproblem. J Global Optim. 2014;58:595-612), and by An and Toan (Differentia...
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As a complement to two recent papers by Toan and Yao (Mordukhovich subgradients of the value function to a parametric discreteoptimalcontrolproblem. J Global Optim. 2014;58:595-612), and by An and Toan (Differential stability of convex discrete optimal control problems. Acta Math Vietnam. 2018;43:201-217) on subdifferentials of the optimal value function of discreteoptimalcontrolproblems, this paper studies the differential stability of convex discrete optimal control problems under control constraints, where the solution set may be empty. By using a suitable sum rule for epsilon-subdifferentials and a suitable product rule for epsilon-normal directions, we obtain formulas for computing the epsilon-subdifferential of the optimal value function. Several illustrative examples are also given.
This paper studies the solution stability of convex optimization and discreteconvexoptimalcontrolproblems in Banach spaces, where the solution set may be *** both the optimization problem and the optimalcontrol pr...
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This paper studies the solution stability of convex optimization and discreteconvexoptimalcontrolproblems in Banach spaces, where the solution set may be *** both the optimization problem and the optimalcontrolproblem, formulas forthe epsilon-subdifferential of the optimal value function are derived without qualificationconditions. We first calculate the epsilon-subdifferential of the optimal value function toa parametric optimization problem with geometrical and functional constraints. Wethen use the obtained results to derive a formula for computing the epsilon-subdifferentialof the optimal value function to a discreteconvexoptimalcontrolproblem with linearstate equations, control constraints and initial, terminal conditions
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