State Estimation & Kalman Filtering | UW EE 549 Course

Comprehensive introduction to state estimation and Kalman filtering, covering linear and nonlinear techniques, with practical applications in control systems, robotics, and signal processing.

Introduction

This course provides an introduction to state estimation and Kalman filtering, covering topics such as linear and nonlinear state estimation, Kalman filters, and their applications.

Highlights

• Covers both linear and nonlinear state estimation techniques
• Focuses on Kalman filtering and its practical applications
• Taught by Professor Kristi Morgansen, an expert in the field

Recommendation

This course is recommended for students and professionals interested in learning about state estimation and Kalman filtering, which are widely used in various fields such as control systems, robotics, and signal processing.

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