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The standard Kalman Filter (KF) algorithm can't estimate the control parameters accurately when there are errors in the model of missile control system. Thus, the state-space equations and observation equations of the testing parameter were established, based on Constant Acceleration (CA) model. Then the principle of standard KF and the impact of test errors to the filter estimate results were analyzed,...
To estimate the parameters of fuzzy linear regression model with crisp input and fuzzy output, we construct a method based on minimizing the least square errors, and propose some relative conclusions including normal equations, minimum solution, unique solution and their analytical expressions of fuzzy parameters. Finally, one numerical example is used to illustrate our proposed methods reasonable.
Face recognition often suffers from the small sample size problem. Regularization is one of the solutions to this problem. In this paper, we investigate the Kullback-Leibler information measure (KLIM) based regularization classifiers for face recognition. Two parameter estimation approaches including the cross-validation technique and model selection criterion are chosen to optimize the regularization...
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