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A PRODUCTION OPTIMIZATION MODEL OF SUPPLY-DRIVEN CHAIN WITH QUALITY UNCERTAINTY

Journal of Systems Science and Systems Engineering 2012年第2期21卷 144-160页

作者： Renbin XIAO Zhengying CAI Xinhui ZHANG Institute of Systems Engineering Huazhong University of Science and TechnologyWuhanHubei 430074China Department of Biomedical Industrial&Human Factors EngineeringWright State UniversityDaytonOH 45435USA

Supply-driven chain＇s production is different from traditional demand-driven production because its supplies must guide the full production flow toward the markets and respond actively to customer demand. According to the control tlaeory, a novel multi-variable operation model of supply-driven chain is discussed here, integrating suppliers, manufacturers, distributors and market demands. Especially the coordination problem between suppliers and manufacturers is discussed where suppliers play more important role than manufacturers. Because defect is common in real production system, the production operation of supply-driven chain with imperfect quality is described on the basis of fuzzy set to model the ambiguity of quality and to provide appropriate supply coordination mechanism. In a designed numerical example, it is apparent that both response and robustness performances of supply-driven production system on demand with imperfect quality are improved by a fuzzy proportional-integral- differential regulator. The proposed model may apply to similar productions with imoerfect quality.

关键词： Supply-driven chain quality production planning fuzzy regulator

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Geomagnetic Orbit Determination Using fuzzy Regulating Unscented Kalman Filter

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Transactions of Nanjing University of Aeronautics and Astronautics 2021年第4期38卷 695-703页

作者： CHEN Guifang YU Feng ZONG Hua WANG Run College of Astronautics Nanjing University of Aeronautics and AstronauticsNanjing 211106P.R.China Key Laboratory of Space Photoelectric Detection and Perception(Nanjing University of Aeronautics and Astronautics) Ministry of Industry and Information TechnologyNanjing 210016P.R.China National Key Laboratory of Science and Technology on Aerospace Intelligent Control Beijing 100854P.R.China

Geomagnetic orbit determination fits for nanosatellites which pursue low cost and high-density ratio,but one of its disadvantages is the poor position accuracy introduced by magnetic ***,a new method,named the fuzzy regulating unscented Kalman filter(FRUKF),is *** magnetic bias is regarded as a random walk model,and a fuzzy regulator is designed to estimate the magnetic bias more *** input of the regulator is the derivative of magnetic bias estimated from unscented Kalman filter(UKF).According to the fuzzy rule,the process noise covariance is adaptively *** FRUKF is evaluated using the real-flight data of the *** experimental results show that the root-mean-square(RMS)position error is 3.1 km and the convergence time is shorter than the traditional way.

关键词： geomagnetic orbit determination unscented Kalman filter(UKF) fuzzy regulator magnetic bias international geomagnetic reference field(IGRF)

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