Methods of Numerical Solution of Optimal Control Problems Based on the Pontryagin Maximum Principle

2015 ◽  
Vol 206 (4) ◽  
pp. 348-356 ◽  
Author(s):  
D. Devadze ◽  
V. Beridze
2019 ◽  
Vol 25 ◽  
pp. 52 ◽  
Author(s):  
Benoît Bonnet

In this paper, we prove a Pontryagin Maximum Principle for constrained optimal control problems in the Wasserstein space of probability measures. The dynamics is described by a transport equation with non-local velocities which are affine in the control, and is subject to end-point and running state constraints. Building on our previous work, we combine the classical method of needle-variations from geometric control theory and the metric differential structure of the Wasserstein spaces to obtain a maximum principle formulated in the so-called Gamkrelidze form.


2021 ◽  
Vol 21 (1) ◽  
pp. 89-104
Author(s):  
R.O. Mastaliyev ◽  

For optimal control problems, described by the Gursat-Darboux stochastic system, a number of first-order necessary optimality conditions are formulated and proved, which are the stochastic analogue - the Pontryagin maximum principle, the linearized maximum principle and the Euler equation.


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