Numerical Solution of Minimax Optimal Control Problems by Multiple Shooting

1985 ◽  
Vol 18 (2) ◽  
pp. 242-243
Author(s):  
H.J. Oberle
Author(s):  
Paola Patzi Aquino ◽  
Maria do Rosario de Pinho ◽  
Geraldo Nunes Silva

A weak maximal principle for minimax optimal control problems with mixed state-control equality and inequality constraints is provided. In the formulation of the minimax control problem we allow for parameter uncertainties in all functions involved: in the cost function, in the dynamical control system and in the equality and inequality constraints. Then a new constraint qualification of Mangassarian-Fromovitz type is introduced which allowed us to prove the necessary conditions of optimality. We also derived the optimality conditions under a full rank conditions type and showed that it is, as usual, a particular case of the Mangassarian-Fromovitz type condition case. Illustrative examples are presented.


2017 ◽  
Vol 26 (4) ◽  
pp. 843-866
Author(s):  
Laura S. Aragone ◽  
Justina Gianatti ◽  
Pablo A. Lotito ◽  
Lisandro A. Parente

2020 ◽  
Vol 2020 ◽  
pp. 1-15
Author(s):  
Jin-soo Hwang

In the present article, we consider a von Kárman equation with long memory. The goal is to study a quadratic cost minimax optimal control problems for the control system governed by the equation. First, we show that the solution map is continuous under a weak assumption on the data. Then, we formulate the minimax optimal control problem. We show the first and twice Fréchet differentiabilities of the nonlinear solution map from a bilinear input term to the weak solution of the equation. With the Fréchet differentiabilities of the control to solution mapping, we prove the uniqueness and existence of an optimal pair and find its necessary optimality condition.


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