H. H. Rosenbrock, “Comments on Poles and Zeros of Linear Multivariable Systems A Survey of the Algebraic Geometric and Complex Variable Theory,” International Journal on Control, Vol. 26, No. 1, 1977, ...

The LinearGaussianBayesianNetwork.simulate method currently provides some basic functionality to generate data from the model. Compared to DiscreteBayesianNetwork, this function is quite limiting a ...

Demonstrate two use cases (sampling and projections) of the property of multivariate Gaussian densities and provide students hands on experience in Python modules, Numpy and Matplotlib. Implementation ...

The Gaussian sum cubature Kalman filter (GSCKF) based on Gaussian mixture model (GMM) is a critical nonlinear non-Gaussian filter for data fusion of global navigation satellite system/strapdown ...

Different types of multivariable analysis: generalized linear models Generalized linear models (GLMs, table 2) are a flexible and powerful class of statistical models widely used in multivariable ...

One of our teams had previously analyzed the Birman kinetic resolution reaction using DFT-derived interaction energies and multivariable linear regression. (42) Reanalyzing the same data set with the ...

Abstract Can linear systems be solved faster than matrix multiplication? While there has been remarkable progress for the special cases of graph structured linear systems, in the general setting, the ...

Now with the evolution of these subjects to multi-domain communication systems and multi-linear systems theory, there is a need to better understand the classical topics in a multi-domain setting.

Linear control systems : synthesis of multivariable systems and multidimensional systems by Kaczorek, T. (Tadeusz), 1932- Publication date 1992 Topics Automatic control, Linear systems Publisher ...

By analyzing information transmission in stable and unstable, open- and closed-loop linear continuous-time Gaussian systems, connections within the MMSE of causal estimation, mutual information rate, ...