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Nonlinear Kalman Filters (and Parameter Estimation)
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Nonlinear Kalman Filters (and Parameter Estimation)

Master advanced nonlinear Kalman filtering techniques including EKF, UKF, and parameter estimation methods.

Course Cost

Free course

Intermediate

Skill Level

19 Hours

Self-paced lessons

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Applied Kalman Filtering Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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What you'll learn

  • Implement extended Kalman filter algorithms

  • Develop sigma-point Kalman filters

  • Design adaptive estimation methods

  • Create parameter estimation systems

  • Apply joint state-parameter estimation

  • Optimize filter performance

Skills you'll gain

Extended Kalman Filter
Sigma-Point Kalman Filter
Parameter Estimation
Nonlinear Systems
State Estimation
Adaptive Filtering
System Modeling
Octave Programming
Numerical Methods
Control Systems

This course includes:

5.6 Hours PreRecorded video

27 assignments

Access on Mobile, Tablet, Desktop

FullTime access

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There are 4 modules in this course

This advanced course covers the theory and implementation of nonlinear Kalman filtering techniques. Students learn to derive and implement extended Kalman filter (EKF) and sigma-point Kalman filter (SPKF) algorithms for nonlinear systems. The curriculum includes adaptive methods, parameter estimation, and joint state/parameter estimation, with practical implementation using Octave code.

The extended Kalman filter

Module 1 · 5 Hours to complete

The sigma-point (unscented) Kalman filter

Module 2 · 4 Hours to complete

Extensions and refinements to nonlinear Kalman filters

Module 3 · 5 Hours to complete

Parameter estimation and joint estimation

Module 4 · 5 Hours to complete

Fee Structure

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Nonlinear Kalman Filters (and Parameter Estimation)

Intermediate

Skill Level

19 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.