This paper is concerned with the stabilization problem for nonlinear stochastic delay systems with Markovian switching by feedback control based on discrete-time state and mode observations. By constructing an efficient Lyapunov functionals, we establish the sufficient stabilization criteria not only in the sense of exponential stability (both the mean-square stability and the almost sure stability) but also in other sense – that of H∞ stability and asymptotic stability. Meanwhile, the upper bound on the duration τ between two consecutive state and mode observations is obtained. Numerical examples are provided to demonstrate the effectiveness of our theoretical results
A novel approach to design the feedback control based on past states is proposed for hybrid stochast...
A novel approach to design the feedback control based on past states is proposed for hybrid stochast...
A novel approach to design the feedback control based on past states is proposed for hybrid stochast...
Hybrid stochastic differential equations (SDEs) (also known as SDEs with Markovian switching) have b...
Hybrid stochastic differential equations (SDEs) (also known as SDEs with Markovian switching) have b...
In this study, the authors consider how to use discrete-time state feedback to stabilise hybrid stoc...
In this study, the authors consider how to use discrete-time state feedback to stabilise hybrid stoc...
In this study, the authors consider how to use discrete-time state feedback to stabilise hybrid stoc...
This paper is concerned with the stabilization problem for a class of nonlinear hybrid stochastic de...
This paper is concerned with the stabilization problem for a class of nonlinear hybrid stochastic de...
Recently, Mao [19] initiates the study the mean-square exponential stabilization of continuous-time ...
Recently, Mao [1] proposed a kind of feedback control based on discrete time state observations to s...
Recently, Mao [1] proposed a kind of feedback control based on discrete time state observations to s...
Recently, Mao [1] proposed a kind of feedback control based on discrete time state observations to s...
A novel approach to design the feedback control based on past states is proposed for hybrid stochast...
A novel approach to design the feedback control based on past states is proposed for hybrid stochast...
A novel approach to design the feedback control based on past states is proposed for hybrid stochast...
A novel approach to design the feedback control based on past states is proposed for hybrid stochast...
Hybrid stochastic differential equations (SDEs) (also known as SDEs with Markovian switching) have b...
Hybrid stochastic differential equations (SDEs) (also known as SDEs with Markovian switching) have b...
In this study, the authors consider how to use discrete-time state feedback to stabilise hybrid stoc...
In this study, the authors consider how to use discrete-time state feedback to stabilise hybrid stoc...
In this study, the authors consider how to use discrete-time state feedback to stabilise hybrid stoc...
This paper is concerned with the stabilization problem for a class of nonlinear hybrid stochastic de...
This paper is concerned with the stabilization problem for a class of nonlinear hybrid stochastic de...
Recently, Mao [19] initiates the study the mean-square exponential stabilization of continuous-time ...
Recently, Mao [1] proposed a kind of feedback control based on discrete time state observations to s...
Recently, Mao [1] proposed a kind of feedback control based on discrete time state observations to s...
Recently, Mao [1] proposed a kind of feedback control based on discrete time state observations to s...
A novel approach to design the feedback control based on past states is proposed for hybrid stochast...
A novel approach to design the feedback control based on past states is proposed for hybrid stochast...
A novel approach to design the feedback control based on past states is proposed for hybrid stochast...
A novel approach to design the feedback control based on past states is proposed for hybrid stochast...