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Collaborative Inter-Terminal Transportation of Containers
Xuefeng Jin,Kap Hwan Kim 대한산업공학회 2018 Industrial Engineeering & Management Systems Vol.17 No.3
In a port consisting of multiple container terminals, numerous containers are transshipped among the terminals. All the transshipment containers bound for a vessel are generally shifted from one terminal to another within a short time period. However, as each shipping liner issues delivery orders exclusively to a trucking company, it is highly probable that a truck that transports a container from one terminal to another returns back empty, thus resulting in excessive empty travels by trucks among terminals. A scheduling problem for transshipment container deliveries, called Inter- Terminal Transportation Problem (ITTP), is defined, and a mathematical formulation is provided. This study assumes that trucking companies collaborate with each other for minimizing empty travels by sharing delivery orders. A numerical experiment is conducted to investigate the variation in the total cost and profit of each trucking company as a result of the collaboration.
Xuefeng Zhang,Kaijing Jin 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.11
This paper investigates the fuzzy normalization and stabilization issues of a class of singular fractional order nonlinear systems with order 0 < α < 1 based on a singular Takagi-Sugeno fuzzy model. First, we present the admissibility theorem of Takagi-Sugeno fuzzy singular fractional order systems. Next, benefited by that the fuzzy model and the state feedback controllers do not share the same membership functions, a proportional plus derivative state feedback controller is designed, which guarantees the closed-loop system normalized and admissible. Finally, a numerical simulation example is given to illustrate the effectiveness of the proposed method.
State and Output Feedback Controller Design of Takagi-Sugeno Fuzzy Singular Fractional Order Systems
Xuefeng Zhang,Kaijing Jin 제어·로봇·시스템학회 2021 International Journal of Control, Automation, and Vol.19 No.6
This paper investigates the admissibility issue of a class of singular fractional order nonlinear systems based on Takagi-Sugeno (T-S) fuzzy model. First, the fuzzy model and the state and output feedback controllers share the different membership functions. Then, we propose the methods about designing the fuzzy state and output feedback controllers, which guarantee the asymptotical stability of closed-loop systems. Next, the equality constraint existing in most of admissibility theorems is eliminated and strict linear matrix inequalities (LMIs) are obtained. Finally, two numerical simulation examples are given to illustrate the effectiveness of the proposed methods.
Inter - grain Exchange Interactions for Nanocrystalline Nd2.33Fe₁₄B1.06Si0.21 Magnets
Jin Hanmin,Yan Yu,Wang Xuefeng,Su Feng 한국자기학회 2003 Journal of Magnetics Vol.8 No.4
The strengths of the inter-grain exchange interaction were evaluated for nanocrystalline Nd_(2.33)Fe₁₄B_(1.06)Si_(0.21) magnets of different grain size by comparing the iHc calculated by micromagnetics with the experiments. With increase of the grain boundary thickness to that of the magnet of grain diameter 12.4, 24.8, 37.2 and 49.6 ㎚, the strengh of the interaction in reference to that without the grain boundary phase decreases to 83%, 69%, 54% and 42%.
Bei Wang,Xuefeng Yan,Yongfei Jin 한국화학공학회 2017 Korean Journal of Chemical Engineering Vol.34 No.2
Principal component analysis (PCA) has been widely used in monitoring industrial processes, but it is still necessary to make improvements in having a timely and effective access to variation information. It is known that the transformation matrix generated from real-time PCA model indicates inner relations between original variables and new produced components, so this matrix would be different when modeling data deviate due to the change of the operating condition. Based on this theory, this paper proposes a novel real-time monitoring approach which utilizes polygon area method to measure the variation degree of the transformation matrices and then constructs a statistic for monitoring purpose. The on-line data are collected through a combined moving window (CMW), containing both normal and monitored data. To evaluate the performance of the proposed method, a simple numerical simulation, the CSTR process and the classic Tennessee Eastman process are employed for illustration, with some PCA-based methods used for comparison.