Modeling, Estimation and Control Festschrift in Honor of Giorgio Picci on the Occasion of his Sixty-Fifth Birthday /
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2007.
|
| Σειρά: | Lecture Notes in Control and Information Sciences,
364 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.
