2007
DOI: 10.1080/00207170601115977
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Controllability of stochastic integrodifferential systems

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Cited by 20 publications
(17 citation statements)
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“…Recently, Balachandran and Karthikeyan [4] and Balachandran et al [5] derived sufficient conditions for the controllability of stochastic integrodifferential systems in finite-dimensional space. Motivated by these facts, our main purpose in this paper is to examine the approximate controllability of the following stochastic semilinear functional integrodifferential system…”
Section: Introductionmentioning
confidence: 99%
“…Recently, Balachandran and Karthikeyan [4] and Balachandran et al [5] derived sufficient conditions for the controllability of stochastic integrodifferential systems in finite-dimensional space. Motivated by these facts, our main purpose in this paper is to examine the approximate controllability of the following stochastic semilinear functional integrodifferential system…”
Section: Introductionmentioning
confidence: 99%
“…Mahmudov and Zorlu [13] investigated the approximate and complete controllability of general nonlinear stochastic system by using the Picard type iteration technique. Balachandran et al [14] investigated the controllability of semilinear stochastic integrodifferential systems by using the Picard iteration technique. Recently, Balachandran et al [15,16] studied the controllability of semilinear stochastic integrodifferential systems using the Banach fixed point theorem.…”
Section: Introductionmentioning
confidence: 99%
“…Balachandran et al [14] investigated the controllability of semilinear stochastic integrodifferential systems by using the Picard iteration technique. Recently, Balachandran et al [15,16] studied the controllability of semilinear stochastic integrodifferential systems using the Banach fixed point theorem. In this paper we examine the controllability of a semilinear stochastic integrodifferential system …”
Section: Introductionmentioning
confidence: 99%
“…Many important results for controllability of linear as well as nonlinear stochastic systems have also been established (Balachandran and Karthikeyan, 2007;Balachandran et al, 2009;Klamka, 2007a;Mahmudov, 2001;Mahmudov and Zorlu, 2003;Zabczyk, 1981). When the control is constrained, the major global results are those by Conti (1976).…”
Section: Introductionmentioning
confidence: 99%