The article outlines the methodology of structural and parametric synthesis of neural network
controllers for controlling objects with limiters under incomplete information about the …

We consider the problem of optimizing the trajectory of an Unmanned Aerial Vehicle (UAV).
Assuming a traffic intensity map of users to be served, the UAV must travel from a given …

A solution of the optimal control problem has been found in the work. It involves two artificial
neural networks for the identification and control of a dynamical system. In order to train …

This paper proposes a neural network architecture that guarantees stability and applies it to
address the longitudinal vehicle platoon problem. Considering the safety and consistency …

Reinforcement learning and optimal control are two approaches to solving the decision-
making problem for dynamical systems, with a data-driven and model-driven perspective …

Аннотация Излагается методика синтеза цифровых систем управления для
нелинейных объектов c ограничителями в условиях неполной информации …

This two-volume set of LNICST 414 and 415 constitutes the refereed post-conference
proceedings of the 2nd International Conference on IoT and Big Data Technologies for …

In this dissertation I study how optimal monetary policy should be conducted and develop
tools for its practice. In" Globally Optimal Monetary Policy," I bring into the optimal monetary …

Актуальность темы исследования. Одной из проблем современной теории
автоматического управления является сложность синтеза регуляторов для нелинейных …

Optimal monetary policy is important on a practical level for central banks. Computational
barriers, however, have limited research into important optimal monetary policy questions …