Indirect Methods for Optimal Control Problems

Author(s):  
Viorel Arnăutu ◽  
Pekka Neittaanmäki
2018 ◽  
Vol 57 (5) ◽  
pp. 665-696 ◽  
Author(s):  
Nicola Dal Bianco ◽  
Enrico Bertolazzi ◽  
Francesco Biral ◽  
Matteo Massaro

Mathematics ◽  
2021 ◽  
Vol 9 (20) ◽  
pp. 2618
Author(s):  
Francesca Mazzia ◽  
Giuseppina Settanni

Optimal control problems arise in many applications and need suitable numerical methods to obtain a solution. The indirect methods are an interesting class of methods based on the Pontryagin’s minimum principle that generates Hamiltonian Boundary Value Problems (BVPs). In this paper, we review some general-purpose codes for the solution of BVPs and we show their efficiency in solving some challenging optimal control problems.


2020 ◽  
Vol 26 ◽  
pp. 41
Author(s):  
Tianxiao Wang

This article is concerned with linear quadratic optimal control problems of mean-field stochastic differential equations (MF-SDE) with deterministic coefficients. To treat the time inconsistency of the optimal control problems, linear closed-loop equilibrium strategies are introduced and characterized by variational approach. Our developed methodology drops the delicate convergence procedures in Yong [Trans. Amer. Math. Soc. 369 (2017) 5467–5523]. When the MF-SDE reduces to SDE, our Riccati system coincides with the analogue in Yong [Trans. Amer. Math. Soc. 369 (2017) 5467–5523]. However, these two systems are in general different from each other due to the conditional mean-field terms in the MF-SDE. Eventually, the comparisons with pre-committed optimal strategies, open-loop equilibrium strategies are given in details.


2008 ◽  
Vol 40 (7) ◽  
pp. 48-58 ◽  
Author(s):  
Fikret Akhmed Ali Ogly Aliev ◽  
Rena Takhir kyzy Zulfugarova ◽  
Mutallim Mirzaakhmed ogly Mutallimov

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