Kalman Filter: State Space Models

About
Privacy
Disclaimer

Graph Chatbot

Related lectures (32)

Page 3 of 4

Kalman Filters: Estimation and Localization

Covers the theory and application of Kalman Filters for estimation and localization in robotics.

SISO Polynomial Controllers: Sylvester Matrix, Internal Model Principle

Covers the design of SISO polynomial controllers using concepts such as the Sylvester matrix and model matching.

Image Processing: Enhancement and Analysis

Explores image processing techniques such as contrast manipulation, enhancement, and sharpening using Fiji software.

Time-Varying Kalman Filter: Properties and Applications

Explores the time-varying Kalman filter, state estimation, challenges in conditioning on measured outputs, and the importance of affine transformations.

Kalman Filtering: Applications in Control and Communication Systems

Explores the applications of Kalman Filtering in control and communication systems, focusing on state estimation and channel estimation.

Dynamical Systems: Lecture 2

Introduces dynamical systems, covering modeling, laws of motion, linearity, time invariance, and external forces.

Kalman Filter: Channel Estimation and Control

Explores Kalman Filter for estimating channel coefficients in communication systems and its performance in noisy environments.

Linear Systems: Iterative Methods

Covers iterative methods for solving linear systems, including Jacobi and Gauss-Seidel methods.

Dynamical Systems: Laplace Transform

Covers the Laplace transform, transfer functions, and properties of common functions in dynamical systems.

Linear Systems: Direct Methods

Covers the formulation of linear systems, direct and iterative methods for solving them, and the cost of LU factorization.