evasive 发表于 2025-4-1 05:32:34
Topics in 2D Systems Theory,ems theory. Several different motivations underlie this research field. The inspiring idea originated in the framework of two-dimensional data processing (using parallel computer structures) from the necessity of modelling dynamical processes parametrized by two independent variables (e. g. time and土坯 发表于 2025-4-1 08:45:38
Point Estimation, Stochastic Approximation, and Robust Kalman Filtering,tate estimates, non-white residuals, and invalid inference. An approach to robustifying the Kalman Filter based on minimax theory is described. The relationship between the minimax robust estimator of location formulated by Huber, its recursive versions based on the stochastic approximation procedurAntimicrobial 发表于 2025-4-1 12:59:04
http://reply.papertrans.cn/89/8850/884999/884999_63.png丰富 发表于 2025-4-1 17:57:27
Stochastic Model Reduction by Aggregation,uely inspired by Statistical Physics and some of the techniques are borrowed from Markovian representation of stationary processes (stochastic realization theory) as exposed e.g. in the surveys and . The model reduction technique applies to infinite dimensional conservative systems and is belfoliage 发表于 2025-4-1 20:10:42
Learning Techniques and Neural Networks for the Solution of N-Stage Nonlinear Nonquadratic Optimal ar) so as to track . desired trajectory joining the points of given compact sets, while minimizing a certain cost function (in general, nonquadratic). Due to the generality of the problem, conventional methods (e.g., dynamic programming, maximum principle, etc.) are difficult to apply. Then, an appr