1986
DOI: 10.1080/00207728608926880
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Stabilizabiltty of certain stochastic systems

Abstract: In this paper, we present certain sufficient conditions for (feedback) stabilizability of controlled stochastic systems. Theoretical results are illustrated by three examples applied to electrically suspended gyros.

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Cited by 23 publications
(4 citation statements)
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“…Another technique to convert the stochastic control problem to a deterministic control problem has been discussed byMahalanbis and Purkayastha (1973) and Gao and Ahmed ( 1986) in finite dimensions. Without a finite rank assumption on D i , i !i:; I, we state the following proposition.…”
Section: Proofmentioning
confidence: 98%
See 1 more Smart Citation
“…Another technique to convert the stochastic control problem to a deterministic control problem has been discussed byMahalanbis and Purkayastha (1973) and Gao and Ahmed ( 1986) in finite dimensions. Without a finite rank assumption on D i , i !i:; I, we state the following proposition.…”
Section: Proofmentioning
confidence: 98%
“…Wonham (1974), Haussmann (1971Haussmann ( ,1973, and Willems and Willems (1976) have considered the related problem of the stabilizability of stochastic systems with state-and control-dependent noise in finite dimensions. In Mahalanbis and Purkayastha (1973) and Gao and Ahmed (1986), analogous problems have been discussed for Lure-type non-linear stochastic systems. For various results on the stability and stabilizability of linear stochastic systems with state-and control-dependent noise in finite dimensions, we refer to the J. H. Seo survey paper by Mohler and Kolodziej (1980).…”
Section: Introductionmentioning
confidence: 96%
“…It should be noted that the robustness problem of linear and nonlinear stochastic system has received a good deal attention (see for instance [3], [4], [5], [6], [7], [8], [13] and [15]). For example, in order to derive a class of feedback controllers sufficient conditions based on the properties of the solution of an algebraic Riccati equation are provided in [15].…”
Section: Dx(t) = (F(t X(t)) + G(t X(t))u(t)) At + E(t X(t)) Dt + Hmentioning
confidence: 99%
“…Similarly important is the controller synthesis problem of stochastic systems. Among the early attempts based on solutions of algebraic Riccati equations, one can cite [5], [6]. Inspired by the advances in methods using control Lyapunov functions [7] and constructive Lyapunov stabilization [8] for nonlinear deterministic systems, researchers turned to controller synthesis algorithms for SDEs using stochastic control Lyapunov functions [9].…”
Section: Introductionmentioning
confidence: 99%