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For one-dimensional soil freezing process, a separate-ice frost heave model is established, and the coupled process of heat transfer, fluid flow and stress development is considered in the model. First, a coupled heat–fluid–stress model describing the growth of a single ice lens is developed by extending the coupled heat–fluid model presented by Zhou and Zhou (Can Geotech J 49(6):686–693, 2012). Second,...
Mathematics model is usually used in Hardware-In-Loop simulation testing in engineering. In order to improve the limitation of this technology, we utilize the working environment simulation modeling, the real-time test script technology and the data-playback technology to propose a portable data-playback based Hardware-In-Loop simulation testing platform technology for reactive system. It could contain...
The paper takes system dynamics method as study tool, based on the research in the specific hospital and system analysis about the hospital competitiveness, combined with the actual situation of Jiujiang Chinese hospital, built up seven system dynamics simulation models, and according to the hospital history data and future development plans, established each variable equation of seven models, simulated...
Rule number explosion and adaptive weights tuning are two main issues in the design of fuzzy control systems. To overcome the problems, we propose the method of state variable composition, and combine it with adaptive control scheme to tune controller parameters. Furthermore, LQR feedback controller coefficients of double inverted pendulum are used as factors of state variable composition to design...
With the development of the Internet and the trend of globalization of markets, the supply chain structure has undergone enormous changes. Today the development of division of labor is extended from the individual/communal level to intra-industrial and intra-product division of labor. In order to analyze the mechanism of intra-product division of labor in supply chain, this paper attempts to build...
This paper deals with application of fuzzy least square method to the land-cover classification of remotely sensed data. The proposed method has a considerable advantage of extracting the reflectance of spectral bands for each category from pixel data and thus avoiding difficulties in electing training sets for each land-cover class when the class number gets large, which exist in conventional supervised...
A mathematical model for the double inverted pendulum is first presented. Then adaptive neural fuzzy inference system based on the state variables fusion is proposed for the control of the double inverted pendulum. The controller uses error back-propagation and least square estimator hybrid training algorithm to adjust the membership functions of each variable, optimize fuzzy rules, and identify the...
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