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General nonlinear impulsive control problems by Gamkrelidze, a fairly general extension of the optimal control problem is constructed founded on the concept
Theoretical fundamentals for unimodality estimation of an objective functional in the optimal control problem on the type of functional under investigation. It turned out that in the case of solving optimization problems
Applying Neural Networks for the Identification of Control Object Mathematical Models for the Control Problems on this training set. For a trained neural network, a set of optimal control problems is solved. The optimal
Second order necessary conditions of optimality for impulsive control problems impulsive optimal control problem, the first and second order necessary conditions of optimality are stated
A mathematical model and control problems of traffic flows in urban road networks. The problems of parametric identification, optimal control, and control synthesis are considered. Initially
On the extension of classical calculus of variations and optimal control to problems with discontinuous trajectories and of optimal control to the case of discontinuous trajectories. An appropriate impulsive control problem
Second-order optimality conditions for singular extremals in optimal control problems with equality endpoint constraints-order necessary optimality conditions for singular Pontryagin local minimizers in optimal control problems
Control System Synthesis Based on Optimal Trajectories Approximation by Symbolic Regression for Group of RobotsThe paper considers the solution of the problem of optimal control system synthesis. It is proposed
First and Second Order Necessary Conditions of Optimality for Impulsive Control Problems control processes. Our result is obtained by decoding the necessary conditions of optimality
Maximum principle and second-order conditions for minimax problems of optimal controlIn this paper, we study the optimal control problem of minimizing the functional J(x, u)=maxt1≤t≤t2
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