2013 9th Asian Control Conference (ASCC) 2013
DOI: 10.1109/ascc.2013.6606220
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Observer-based fuzzy control design for discrete-time T-S fuzzy bilinear stochastic systems with infinite-distributed delays

Abstract: This paper is concerned with the problem of observer-based fuzzy control design for discrete-time T-S fuzzy bilinear stochastic systems with infinite-distributed delays. Based on the piecewise quadratic Lyapunov functional (PQLF), the fuzzy observer-based controllers are designed for T-S fuzzy bilinear stochastic systems. It is shown that the stability in the mean square for discrete T-S fuzzy bilinear stochastic systems can be established if there exists a set of PQLF which can be constructed and the fuzzy ob… Show more

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Cited by 5 publications
(5 citation statements)
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“…In order to reduce the conservativeness, a proper LK functional is to be chosen that gives a less conservative delay upper bound d M subject to the existence of an observer-based stabilising controller. We have developed a delay-dependent observer-based controller design by using matrix decoupling technique (Lin et al, 2008) at the cost of increasing computational burden.…”
Section: Proofmentioning
confidence: 99%
“…In order to reduce the conservativeness, a proper LK functional is to be chosen that gives a less conservative delay upper bound d M subject to the existence of an observer-based stabilising controller. We have developed a delay-dependent observer-based controller design by using matrix decoupling technique (Lin et al, 2008) at the cost of increasing computational burden.…”
Section: Proofmentioning
confidence: 99%
“…This property is similar to a separation principle in a linear system which is difficult to satisfy in a non-linear system. Hence, such results are very rare in non-linear systems, except the reference in [29], in which the matrix decoupling technique was presented for the Takagi-Sugeno fuzzy systems with state delays.…”
Section: Problem Descriptionmentioning
confidence: 99%
“…which has been widely studied in the linear control field (e.g. Boyd et al, 1994; Lin et al, 2008). In other words, Theorem 2 provides an extension of the classical linear-robust-control theory to a class of uncertain polynomial systems.…”
Section: Controller Design Based On Observermentioning
confidence: 99%