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Autorenporträt
Alessandro Chiuso, Universita di Padova, Visenza, Italy / Augusto Ferrante, Universita di Padova, Visenza, Italy / Stefano Pinzoni, Universita di Padova, Visenza, Italy
Inhaltsangabe
Coefficients of Variations in Analysis of Macro-policy Effects: An Example of Two-Parameter Poisson-Dirichlet Distributions.- How Many Experiments Are Needed to Adapt?.- A Mutual Information Based Distance for Multivariate Gaussian Processes.- Differential Forms and Dynamical Systems.- An Algebraic Framework for Bayes Nets of Time Series.- A Birds Eye View on System Identification.- Further Results on the Byrnes-Georgiou-Lindquist Generalized Moment Problem.- Factor Analysis and Alternating Minimization.- Tensored Polynomial Models.- Distances Between Time-Series and Their Autocorrelation Statistics.- Global Identifiability of Complex Models, Constructed from Simple Submodels.- Identification of Hidden Markov Models - Uniform LLN-s.- Identifiability and Informative Experiments in Open and Closed-Loop Identification.- On Interpolation and the Kimura-Georgiou Parametrization.- The Control of Error in Numerical Methods.- Contour Reconstruction and Matching Using Recursive Smoothing Splines.- Role of LQ Decomposition in Subspace Identification Methods.- Canonical Operators on Graphs.- Prediction-Error Approximation by Convex Optimization.- Patchy Solutions of Hamilton-Jacobi-Bellman Partial Differential Equations.- A Geometric Assignment Problem for Robotic Networks.- On the Distance Between Non-stationary Time Series.- Stochastic Realization for Stochastic Control with Partial Observations.- Experiences from Subspace System Identification - Comments from Process Industry Users and Researchers.- Recursive Computation of the MPUM.- New Development of Digital Signal Processing Via Sampled-Data Control Theory.
Coefficients of Variations in Analysis of Macro-policy Effects: An Example of Two-Parameter Poisson-Dirichlet Distributions.- How Many Experiments Are Needed to Adapt?.- A Mutual Information Based Distance for Multivariate Gaussian Processes.- Differential Forms and Dynamical Systems.- An Algebraic Framework for Bayes Nets of Time Series.- A Birds Eye View on System Identification.- Further Results on the Byrnes-Georgiou-Lindquist Generalized Moment Problem.- Factor Analysis and Alternating Minimization.- Tensored Polynomial Models.- Distances Between Time-Series and Their Autocorrelation Statistics.- Global Identifiability of Complex Models, Constructed from Simple Submodels.- Identification of Hidden Markov Models - Uniform LLN-s.- Identifiability and Informative Experiments in Open and Closed-Loop Identification.- On Interpolation and the Kimura-Georgiou Parametrization.- The Control of Error in Numerical Methods.- Contour Reconstruction and Matching Using Recursive Smoothing Splines.- Role of LQ Decomposition in Subspace Identification Methods.- Canonical Operators on Graphs.- Prediction-Error Approximation by Convex Optimization.- Patchy Solutions of Hamilton-Jacobi-Bellman Partial Differential Equations.- A Geometric Assignment Problem for Robotic Networks.- On the Distance Between Non-stationary Time Series.- Stochastic Realization for Stochastic Control with Partial Observations.- Experiences from Subspace System Identification - Comments from Process Industry Users and Researchers.- Recursive Computation of the MPUM.- New Development of Digital Signal Processing Via Sampled-Data Control Theory.
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