Course Name: EE5750 : Adaptive & Optimal Control

Description: Introduction to Linear Systems. Calculus of Variations. Bellman's Dynamic Programming Self Correcting Systems, Learning Systems Characterisation of Noise Definition for the terms: Smoothing, Prediction, Filtering Estimation of States of a System using Models Estimation Criteria, Wiener and Levinson Filtering Gradient methods for Adaptive control Peridic Perturbation of systems for Adaptation MRAS and Hyperstability approach for Parameter Estimation Exponential data weighting, forgetting factor LSQ Procedures for State Estimation and Parameter Estimation Kalman Filter approach for State Estimation, Prdiction and Smoothing Square Root Filtering, Smoothing of Discrete Time Signals Spectral Factorization, SubOptimal Filtering Learning Systems Adaptive phased arrays for detecting signal direction Application of Adaptive and Optimal Control.

Slot: G

RoomNo: ESB207A

Instructor: Gaurav Raina

Period: JAN-MAY 2013

This page was created on: Thursday 19th of September 2013 10:20:24 PM