Dynamic Systems Models New Methods of Parameter and State Estimation /
This monograph is an exposition of a novel method for solving inverse problems, a method of parameter estimation for time series data collected from simulations of real experiments. These time series might be generated by measuring the dynamics of aircraft in flight, by the function of a hidden Mark...
Κύριος συγγραφέας: | |
---|---|
Συγγραφή απο Οργανισμό/Αρχή: | |
Άλλοι συγγραφείς: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
|
Έκδοση: | 1st ed. 2016. |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- From the Contents: Linear Estimators of a Random-Parameter Vector.-Basis of the Method of Polynomial Approximation
- Polynomial Approximation and Optimization of Control
- Polynomial Approximation Technique Applied to Inverse Vector Functions
- Identification of Parameters of Nonlinear Dynamical Systems: Smoothing, Filtering and Forecasting the State Vector
- Estimating Status Vectors from Sight Angles
- Estimation of Parameters of Stochastic Models
- Designing the Control of Motion to a Target Point of Phase Space
- Inverse Problems of Dynamics Algorithm for Identifying Parameters of an Aircraft.