Doo Jin Choi

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With two level weighting functions, namely, crisp switching-region weighting functions and local fuzzy weighting functions, this paper introduces a discrete-time switching fuzzy system, which inherently contains the features of switched hybrid systems and Takagi-Sugeno (TS) fuzzy systems, and then, for this discrete-time switching fuzzy system, this paper(More)
—For discrete-time Takagi–Sugeno (TS) fuzzy systems, we propose an state-feedback fuzzy controller associated with a fuzzy weighting-dependent Lyapunov function. The controller, which is designed via parameterized linear matrix inequalities (PLMIs), employs not only the current-time but also the one-step-past information on the time-varying fuzzy weighting(More)
— This paper concentrates upon a new stabilization for nonlinear time-delay systems via the Takagi-Sugeno (TS) fuzzy model approach. At first, we represent a nonlinear time-delay system as a kind of neutral-type TS fuzzy systems with a block delay. And then, we propose a new fuzzy weighting-dependent Lyapunov-Krasovskii functional (FWD-LKF), which directly(More)
Previously, we reported that the sulphated polysaccharides (SPS)-CF, a water-soluble polysaccharide isolated and purified from Korean green alga Maesaengi (Capsosiphon fulvescens, Chlorophyta), is a glucuronogalactomannan based mainly on the monosaccharide composition determined by high-performance liquid chromatography (HPLC) analysis after(More)
The Search for enzyme activities that efficiently degrade marine polysaccharides is becoming an increasingly important area for both structural analysis and production of lower-molecular weight oligosaccharides. In this study, an endo-acting fucoidanase that degrades Miyeokgui fucoidan (MF), a sulfated galactofucan isolated from the sporophyll (called(More)
— In this paper, we present a state-feedback receding horizon control (RHC) for discrete-time fuzzy systems with input constraints. The models of the fuzzy systems are of Takagi-Sugeno type, which is suitable to model a large class of nonlinear systems. To find the control, we first derive an optimization problem involving parameterized linear matrix(More)
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