Classical and Relaxed Progressively Refining Discretization-Optimization Methods for Optimal Control Problems Defined by Ordinary Differential Equations

Author:

Chryssoverghi I.,Coletsos J.,Kokkinis B.

Publisher

Springer Berlin Heidelberg

Reference10 articles.

1. Azhmyakov, V., Schmidt, W.: Approximations of Relaxed Optimal Control Problems. J. of Optimization Theory and Applications 130(1), 61–77 (2006)

2. Chryssoverghi, I., Bacopoulos, A.: Discrete approximation of relaxed optimal control problems. J. of Optimization Theory and Applications 65(3), 395–407 (1990)

3. Chryssoverghi, I., Coletsos, J., Kokkinis, B.: Approximate relaxed descent method for optimal control problems. Control and Cybernetics 30(4), 385–404 (2001)

4. Chryssoverghi, I.: Discrete gradient projection method with general Runge-Kutta schemes and control parameterizations for optimal control problems. Control and Cybernetics 34, 425–451 (2005)

5. Chryssoverghi, I., Coletsos, J., Kokkinis, B.: Discretization methods for nonconvex optimal control problems with state constraints. Numer. Funct. Anal. Optim. 26, 321–348 (2005)

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