This article presents a novel neural-network-based optimal event-triggered impulsive control
method. First, a novel general-event-based impulsive transition matrix (GITM) is constructed …

In this study, a novel general impulsive transition matrix is defined, which can reveal the
transition dynamics and probability distribution evolution patterns for all system states …

This article focuses on designing the optimal impulsive controller (IMC) of continuous-time
nonlinear systems. A general-event-based dynamics (GED) is constructed to describe the …

We consider continuous and impulse control of a Markov chain (MC) with a finite set of
states in continuous time. Continuous control determines the intensity of transitions between …

In this article the authors set up an optimal control framework for a hybrid stochastic system
with dual or multiple Markov switching diffusion processes, while Markov chains governing …

This paper focuses on designing the optimal impulsive controller of continuous-time
nonlinear systems. A general-event-based dynamics (GD) is constructed to describe the …

This paper constructs a novel general impulsive transition matrix in order to reveal the
impulsive dynamics of the stochastic systems across the impulsive “events”. On the …

In this paper, a novel general-event-based impulsive transition matrix (GITM) is constructed,
which can reveal the probability distribution evolution patterns for all system states across …

Рассматривается непрерывное и импульсное управление марковской цепью (МЦ) с
конечным множеством состояний в непрерывном времени. Непрерывное управление …

In this article we use the standard controlled Markov chain (MC) description given in [1] used
for continuous dynamics completed by principally novel impulsive action terms. Suppose …