The coupled problems of selecting control nodes and designing control actions for nonlinear
network dynamics are fundamental scientific problems with applications in many diverse …

In this paper, the problem of placing sensors for some classes of nonlinear dynamic systems
(NDS) is investigated. In conjunction with mixed-integer programming, classical Lyapunov …

Binary optimization is a long-time problem ubiquitous in many engineering applications, eg,
automatic control, cyber-physical systems and machine learning. From a mathematical …

We propose a sparsity-promoting feedback control design for stochastic linear systems with
multiplicative noise. The objective is to identify an optimal sparse control architecture and …

В учебном пособии рассматривается технико-экономический подход к управлению
киберпроизводством, бизнес-процессы которого ориентированы на предоставление …

We aim at developing control strategies for constrained linear systems without requiring full
system controllability and observability. Given a fixed, potentially small set of actuators and …

The path to the energy transition calls for adaptation of current decision-making algorithms
in power grid operations. On this premise, novel control algorithms are desired such that the …

The cyber-physical systems control under real technological environment states is done
under action states of different appearance nature. Actual for a cyber-physical production …

This paper presents a new actuator selection methodology for over-actuated systems based
on the actuator effectiveness index. In the proposed method, possible actuator candidates …

Artificial intelligence has boosted profitability and competency in software industries for a
decade now. This lead to many leading manufacturing industries adopting and incorporating …