Titlebook: Systems, Models and Feedback: Theory and Applications; Proceedings of a U.S Albert Isidori,Tzyh-Jong Tarn Conference proceedings 1992 Sprin

evasive

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

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 procedur

Antimicrobial

丰富

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 [6] and [7]. The model reduction technique applies to infinite dimensional conservative systems and is bel

foliage

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