ELL705: Difference between revisions
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| credits = 3 | | credits = 3 | ||
| credit_structure = 3-0-0 | | credit_structure = 3-0-0 | ||
| pre_requisites = ELL701 or ELL333 | | pre_requisites = [[ELL701]] or [[ELL333]] | ||
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Latest revision as of 16:31, 14 April 2026
| ELL705 | |
|---|---|
| Stochastic Filtering and Identification | |
| Credits | 3 |
| Structure | 3-0-0 |
| Pre-requisites | ELL701 or ELL333 |
| Overlaps | |
ELL705 : Stochastic Filtering and Identification
MMSE estimation including LMS, Gaussian case. Wiener filtering & prediction. Kalman filtering & prediction. Extended Kalman filtering. Predictors for difference equation based models including ARMA, Box Jenkins & others. Statistical properties of Least Squares estimation and its relationship with Bayes estimation (ML, MAP), convergence analysis, CR bound. Recursive Least Squares, Iterative methods for nonlinear Least Squares. Identification problem: Different approaches for linear dynamical systems. Offline identification methods including Least Squares, Prediction error framework, Pseudo-linear regression (PLR) & Instrument variable methods. Recursive Identification of linear dynamical system: RLS, PLR, Prediction error framework & its application to ARMA & Innovations representation. Convergence Analysis of Recursive Identification methods: Associated ODE, Martingale. Nonlinear system identification. Subspace based method of system identification. Applications including LQG and adaptive control.