In this work, we model a countercurrent tubular reactor where an automotive shredder residue (ASR) is subject to pyrolysis. An inert gas is adopted to convey the pyrolysis products; the solid entering the reactor undergoes an endothermic chemical process which is very sensitive with respect to...

В статье рассматривается дискретная 2D-система итерационного обучающего управления, в которой датчик и регулятор обмениваются данными через сетевой канал...

Работа посвящена развитию метода векторных функций Ляпунова как единого подхода к анализу различных видов устойчивости нелинейных дискретных 2D-систем....

Работа посвящена развитию метода векторных функций Ляпунова как единого подхода к анализу различных видов устойчивости нелинейных дискретных 2D-систем....

This paper proposes a solution method for the discrete-time long-term dynamic portfolio optimization problem with state and asset allocation constraints. We use the ideas of Model Predictive Control (MPC) to solve the constrained stochastic control problem. MPC is a solution technique which was...

While inventory- and revenue-management problems can be represented as Markov decision process (MDP) models, in some cases the well-known dynamic-programming curse of dimensionality makes it computationally prohibitive to solve them exactly. An alternative solution, called here the...

This study is motivated by the evidence of global warming, which is caused by human activity but affects the efficiency of the economy. We employ the integrated assessment Nordhaus DICE-2007 model [16]. Generally speaking, the framework is that of dynamic optimization of the discounted...

In this paper we deal with the problem of efficiently optimizing microgrid operations while satisfying a time-varying request and operation constraints. Microgrids are subsystems of the distribution grid comprising sufficient generating resources to operate in isolation from the main grid, in a...