Abstract
Recently, Mao [19] initiates the study the mean-square exponential stabilization
of continuous-time hybrid stochastic differential equations by feedback controls based on discrete-time state observations. Mao [19] also obtains an upper bound on the duration τ between two consecutive state observations. However, it is due to the general technique used there that the bound on τ is not very sharp. In this paper, we will be able to establish a better bound on τ making use of Lyapunov functionals. We will not only discuss the stabilization in the sense of exponential stability (as Mao [19] does) but also in other sense of H∞ stability or asymptotic stability. We will not only consider the mean square stability but also the almost sure stability.
of continuous-time hybrid stochastic differential equations by feedback controls based on discrete-time state observations. Mao [19] also obtains an upper bound on the duration τ between two consecutive state observations. However, it is due to the general technique used there that the bound on τ is not very sharp. In this paper, we will be able to establish a better bound on τ making use of Lyapunov functionals. We will not only discuss the stabilization in the sense of exponential stability (as Mao [19] does) but also in other sense of H∞ stability or asymptotic stability. We will not only consider the mean square stability but also the almost sure stability.
| Original language | English |
|---|---|
| Journal | SIAM Journal on Control and Optimization |
| Publication status | Accepted/In press - 29 Jan 2015 |
Keywords
- asymptotic stability
- exponential stability
- feedback control
- discrete-time state observation
- H∞ stability
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