This paper proposes linear and nonlinear filters for a non-Gaussian dynamic system with an unknown nominal covariance of the output noise.The challenge of designing a suitable filter in the presence of an unknown cova...
supported by Beijing Natural Science Foundation(Grant No.4202071)。
The sequential fusion estimation for multisensor systems disturbed by non-Gaussian but heavytailed noises is studied in this paper.Based on multivariate t-distribution and the approximate t-filter,the sequential fusio...
In this paper, we propose a novel performance monitoring and fault detection method, which is based on modified structure analysis and globality and locality preserving (MSAGL) projection, for non-Gaussian processes...
Supported by the National Natural Science Foundation of China (Grant Nos. 60774013, 60874045, 60904030)
A new method for controlling the shape of the conditional output probability density function (PDF) for general nonlinear dynamic stochastic systems is proposed based on B-spline neural network (NN) model and T-S ...
supported by the National Defense Advanced Research Foundation of China (51407020304DZ0223).
To validate the potential space-time adaptive processing (STAP) algorithms for airborne bistatic radar clutter suppression under nonstationary and non-Gaussian clutter environments, a statistically non-Gaussian, spa...
supported by National Natural Science Foundationof China (No. 60472065, No. 60774013).
A new robust proportional-integral-derivative (PID) tracking control framework is considered for stochastic systems with non-Gaussian variable based on B-spline neural network approximation and T-S fuzzy model ident...
In this paper we address the growing issue of statistical full-chip leakage power analysis for 65nm CMOS node and beyond at the circuit level. Specifically, we first develop a fast approach to analyze the statedepende...
Supported by the National Natural Science Foundation of China (Grant No. 60534010);the Outstanding Overseas Chinese Scholars Fund of CAS (Grant No. 2004-1-4)
The task of robust fault detection and diagnosis of stochastic distribution control (SDC) systems with uncertainties is to use the measured input and the system output PDFs to still obtain possible faults informatio...
Project (No. 60774067) supported by the National Natural ScienceFoundation of China
In this paper, we describe a new batch process monitoring method based on multilevel independent component analysis and principal component analysis (MLICA-PCA). Unlike the conventional multi-way principal component a...