supported by National Key Technologies R&D Program of China(Grant No.2009BAG12A08);National Natural Science Foundation of China(Grant Nos.61004070,60934009,61034006,61104019);Commonweal Technology Application Research Project of Zhejiang Province(Grant No.2012C21025)
This paper applies the transferable belief model (TBM) interpretation of the Dempster-Shafer theory of evidence to approximate distribution of circuit performance function for parametric yield estimation. Treating i...
Supported in part by National Natural Science Foundation of China (Grant Nos. 10901065,60934009)
In this paper, we first study the existence and uniqueness of solutions to the stochastic differential equations driven by fractional Brownian motion with non-Lipschitz coefficients. Then we investigate the explosion ...
supported by National Nature Science Foundation of China (Grant Nos. 61172133,91016020,60934009,61002018);China Postdoctoral Science Foundation (Grant No. 20100471727);Zhejiang Nature Science Foundation (Grant No. Y1100227);Ningbo Nature Science Foundation (Grant No. 2011A610-180)
Kalman filter is a powerful tool in target tracking and self-localization across wireless sensor networks with many constraints. This paper considers the filters design for networked systems with combined constraints ...
Manuscript Received Apr. 2011; Accepted Nov. 2011. This work is supported by the National Natural Science Foundation of China (No.60934009, No.61034006, No.60804026, No.61174112, No.60801048).
Multi-scale principal component analysis (MSPCA) can well implement multivariate information extracting on different scales, but theory foundation of MSPCA is still an open question. Using spectral decompo- sition o...
supported in part by National Natural Science Foundation of China (Grant Nos. 60874107,60934009, 60901037, 61004138)
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 resul...