Modeling, Estimation and Control Festschrift in Honor of Giorgio Picci on the Occasion of his Sixty-Fifth Birthday /
Clasificación: | Libro Electrónico |
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Autor Corporativo: | |
Otros Autores: | , , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2007.
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Edición: | 1st ed. 2007. |
Colección: | Lecture Notes in Control and Information Sciences,
364 |
Temas: | |
Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- 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.