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MULTI-LAYER TRACK FUSION ALGORITHM BASED ON SUPPORTING DEGREE MATRIX 被引量:2
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作者 Zhang Wei Quan Li Zhang Ke 《Journal of Electronics(China)》 2012年第3期229-236,共8页
The random noises of multi-sensor and the environment make observations uncertain and correlative, so the performance of fusion algorithms is reduced by using observations directly. To solve this problem, a multi-laye... The random noises of multi-sensor and the environment make observations uncertain and correlative, so the performance of fusion algorithms is reduced by using observations directly. To solve this problem, a multi-layer track fusion algorithm based on supporting degree matrix is proposed. Combined with the track fusion algorithm based on filtering step by step, it uses multi-sensor observations to establish supporting degree matrix and realize multi-layer fusion. Simulation results show its estimation precision is higher than the original algorithm and is increased by 20% around. Therefore, it solves the problem of target tracking further in the distributed track fusion system. 展开更多
关键词 Track fusion Filtering step by step supporting degree matrix Target tracking
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A Support Vector Machine-based Evaluation Model of Customer Satisfaction Degree in Logistics
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作者 孙华丽 谢剑英 《Journal of Donghua University(English Edition)》 EI CAS 2007年第4期519-522,528,共5页
This paper presents a novel evaluation model of the customer satisfaction degree (CSD) in logistics based on support vector machine (SVM). Firstly, the relation between the suppliers and the customers is analyzed.... This paper presents a novel evaluation model of the customer satisfaction degree (CSD) in logistics based on support vector machine (SVM). Firstly, the relation between the suppliers and the customers is analyzed. Seondly, the evaluation index system and fuzzy quantitative methods are provided. Thirdly, the CSD evaluation system including eight indexes and three ranks based on one-against-one mode of SVM is built, last simulation experint is presented to illustrate the theoretical results. 展开更多
关键词 LOGISTICS Evaluation model Fuzzy membership function Pairuise comparison support vector machine Customer satisfaction degree
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Research on robust control strategy of single DOF supporting system of MLDSB based on H∞ mixed-sensitivity Method 被引量:1
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作者 Zhao Jianhua Chen Tao +2 位作者 Han Fang Gao Dianrong Du Guojun 《High Technology Letters》 EI CAS 2020年第3期299-305,共7页
Because of hydraulic-electromagnetic double supporting forms,the supporting capacity and stiffness of magnetic-liquid double suspension bearing(MLDSB)can be improved sharply and then it is more suitable for medium spe... Because of hydraulic-electromagnetic double supporting forms,the supporting capacity and stiffness of magnetic-liquid double suspension bearing(MLDSB)can be improved sharply and then it is more suitable for medium speed,heavy load and frequent-starting occasions.Due to the multiple uncertainty,such as the coupling,the unmodeled dynamics,the parameter perturbation and the external disturbance perturbation,the robust stability and stiffness of control system of MLDSB are hard to meet the design requirements.Firstly,the structural features and the regulation mechanisms of MLDSB are presented and the radial 4-DOF kinetic equations are established.Secondly,the influence factors of the control system's coupling on unbalanced vibration caused by the deviation of the rotor center of mass are revealed,and then the weighting function of suppressing the unbalanced vibration can be obtained.Finally,H∞ controller of MLDSB is designed with H∞ mixed-sensitivity method,and the control performances of H∞ controller is compared with the state feedback controller.The simulation results show that single degree of freedom(DOF)supporting system of MLDSB with H∞ controller has good robust stability,stiffness and the ability to suppress unbalanced external disturbances.This study can provide the theoretical reference for stabilized suspension and control of MLDSB. 展开更多
关键词 magnetic-liquid double suspension bearing(MLDSB) single degree of freedom(DOF)supporting system H∞mixed-sensitivity method state feedback controller robust stability
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基于组合权重的基坑支护方案模糊物元优选 被引量:6
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作者 蒋崇春 孟茁超 《湖南城市学院学报(自然科学版)》 CAS 2010年第2期5-9,共5页
针对深基坑支护方案优选决策多属性、确定性与不确定性共存的特点,从安全性、经济性和可行性3个角度出发,综合考虑影响支护方案的定量、非定量指标,选取技术先进性、类似方案成功率、稳定性、成本、工期、地质情况、环境条件和对环境的... 针对深基坑支护方案优选决策多属性、确定性与不确定性共存的特点,从安全性、经济性和可行性3个角度出发,综合考虑影响支护方案的定量、非定量指标,选取技术先进性、类似方案成功率、稳定性、成本、工期、地质情况、环境条件和对环境的影响程度8个指标,建立了基坑支护方案的模型.在评价过程中,引用信息熵所反映数据本身的效用值来计算指标的熵权和层次分析法求得的专家权重来求得综合权重,用方案的各项评价指标及其相应的模糊量值构造复合模糊物元,通过计算与标准模糊物元之间的欧式贴近度来实现方案的排序与择优.以长沙某基坑支护方案为例证明了该方法应用于支护方案优选的有效性和可行性,研究表明该模型可有效地避免权重分配困难的问题,通过评价样本与评价标准之间的远近关系,得出待选方案的欧式贴近度分别为96.7%、84.3%和88.9%,从而选取方案一,进而为基坑支护方案综合评价提供了一种新思路. 展开更多
关键词 基坑支护 方案优选 欧式贴近度(EAD) 模糊物元 层次分析法
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