7 citations · 12 across the 8 of their papers we have counts for
8 papers
Exact Cost-Increment Formula for Optimal Control of Semilinear Evolution Equations
Roman Chertovskih, Nikolay Pogodaev, Maxim Staritsyn +1
We address optimal control of semilinear evolution equations on Banach spaces with finitely many control channels, a framework encompassing a broad class of infinite-dimensional dy…
Indirect methods in optimal control on Banach spaces
Roman Chertovskih, Nikolay Pogodaev, Maxim Staritsyn +1
This work focuses on indirect descent methods for optimal control problems governed by nonlinear ordinary differential equations in Banach spaces, viewed as abstract models of dist…
Convolutional Attention in Betting Exchange Markets
Rui Gonçalves, Vitor Miguel Ribeiro, Roman Chertovskih +1
This study presents the implementation of a short-term forecasting system for price movements in exchange markets, using market depth data and a systematic procedure to enable a fu…
From Few-Shot Optimal Control to Few-Shot Learning
Roman Chertovskih, Nikolay Pogodaev, Maxim Staritsyn +1
We present an approach to solving unconstrained nonlinear optimal control problems for a broad class of dynamical systems. This approach involves lifting the nonlinear problem to a…
On Minimum-Dispersion Control of Nonlinear Diffusion Processes
Roman Chertovskih, Nikolay Pogodaev, Maxim Staritsyn +1
This work collects some methodological insights for numerical solution of a "minimum-dispersion" control problem for nonlinear stochastic differential equations, a particular relax…
Optimal control of distributed ensembles with application to Bloch equations
Roman Chertovskih, Nikolay Pogodaev, Maxim Staritsyn +1
Motivated by the problem of designing robust composite pulses for Bloch equations in the presence of natural perturbations, we study an abstract optimal ensemble control problem in…
Optimization of external stimuli for populations of theta neurons via mean-field feedback control
Roman Chertovskih, Nikolay Pogodaev, Maxim Staritsyn +2
We study a problem of designing ``robust'' external excitations for control and synchronization of an assembly of homotypic harmonic oscillators representing so-called theta neuron…
Backward stochastic differential equation approach to modeling of gene expression
Evelina Shamarova, Roman Chertovskih, Alexandre F. Ramos +1
In this article, we introduce a novel backward method to model stochastic gene expression and protein level dynamics. The protein amount is regarded as a diffusion process and is d…