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| 1 | Globally optimal distributed Kalman filtering fusion显示文摘The goal of this paper is to give a survey of the previous works on the globally optimal distributed Kalman filtering fusion with classical and nonclassical dynamic systems. Then, we summarize some of our recent results on nonclassical and unideal dynamic systems, including dynamic systems with feedback and cross-correlated sensor measurement noises, dynamic systems with random parameter matrices, and dynamic systems with out-of-sequence or asynchronous measurements. The global optimality in this paper means that the distributed Kalman filtering fusion is exactly equal to the corresponding centralized optimal Kalman filtering fusion. Therefore, not only all of the proposed fusion algorithms here are distributed, but performance as good as that of the corresponding optimal centralized fusion algorithms is achieved. There also exist many papers for other fusion optimality (e.g., the optimal convex linear estimation/compression fusion) discussion, which are not involved in this paper. | SHEN XiaoJing LUO YingTing ZHU YunMin SONG EnBin | 2012 | Science China(Information Sciences)2012，55，3： | 6 |
| 2 | DISTRIBUTED KALMAN FILTERING FUSION WITH PACKET LOSS OR INTERMITTENT COMMUNICATIONS FROM LOCAL ESTIMATORS TO FUSION CENTER显示文摘当过程噪音确实存在时,这份报纸考虑从本地评估者与被动的包损失或创始的断断续续的通讯过滤熔化到熔化中心的分布式的 Kalman。当本地估计没太多被失去时,就算过程噪音确实存在,作者建议等价于与完全的通讯过滤熔化的相应集中的 Kalman 的一个最佳的分布式的熔化算法。当这个条件没满足时,基于上述全球 optimality 结果和传感器数据压缩,作者建议一个非最优的分布式的熔化算法。就算过程噪音力量相当大,这个非最优的算法仍然比标准更好工作很好并且显著地的数字例子表演散布了过滤熔化题目到包损失的 Kalman。 | Yingting LUO Yunmin ZHU Xiaojing SHEN Enbin SONG | 2012 | Journal of Systems Science & Complexity2012，25，3： | 3 |
| 3 | Integrated optimization methods in multisensor decision and estimation fusion显示文摘This paper presents a significant integrated optimization point of view behind the following three successful decision and estimation fusion results: 1) a unified fusion rule for networked sensor decision systems; 2) optimal sensor data quantization for estimation fusion and 3) integrated multi-target data association tracking systems. More precisely speaking, the integrated optimization method in 1) derives a unified objective function optimizing only sensor rules given a unified fusion rule; the method in 2) derives a unified objective function optimizing both the sensor quantization rule and the final estimation in the MSE sense, and the method in 3) integrates all associated targets and their valid observations into a whole random measurement matrix dynamic system so that the optimal random matrix Kalman filtering can be applied to estimate the states of all associated targets. | LUO YingTing SHEN XiaoJing ZHU YunMin | 2012 | Science China(Information Sciences)2012，55，3： | 2 |
| 4 | Improving IEC thermal model for oil natural air natural transformers using optimised parameters based on dynamic simulation显示文摘Accurate assessment of hot-spot temperature is essential for the safe operation of power transformers.Existing dynamic thermal models cannot estimate hot-spot temperature accurately since some input parameters are roughly determined by transformer capacity and cooling mode while ignoring the effect of winding structure,tank dimensions,and material physical properties.To improve the accuracy of temperature assessment,empirical parameters of the IEC thermal model including thermal constants,winding and oil exponents are optimised with the help of numerical simulation in this article.Based on energy conservation and heat transfer theory,a computational fluid dynamic(CFD)model of a transformer in oil natural air natural(ONAN)cooling mode is established.This CFD model simulates the entity's structure,sizes,and multi-stage heat dissipation processes realistically,so it can more precisely calculate the dynamic hot-spot temperature.According to the simulated temperature curves at different operating conditions,the thermal constants and oil exponent are estimated using non-linear regression,and the winding exponent is optimised using linear regression.A case study is conducted on an ONAN transformer.It shows the improved IEC model with optimised parameters can more accurately evaluate hot-spot temperature,and the absolute error is decreased by 2.4 K(38.7%)compared with traditional thermal models. | Lijing Zhang Yingting Luo Gehao Sheng Zizhan Ni Xiuchen Jiang | 2024 | High Voltage2024，9，1： | 0 |
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