Understand the theory of operation of Kalman filters and optimization strategies
Estimate system states using Kalman Filters
Extract parameters from data using optimization strategies
Implement optimization and state estimation algorithms in MATLAB environment
This course covers the details of how to develop optimization and state estimation algorithms and apply them to real world practical applications. The course covers the following topics:
Basic of system modeling which is how to describe any mechanical or electrical system in a mathematical form.
The theory of operation of Genetic Algorithm optimization which is extensively used in several industrial and academic applications
How to optimize parameters using experimental data
Implementation of Genetic algorithm logic in MATLAB environment and apply it to real world problems
How to represent systems in State space representation form.
Theory of operation of state estimation strategies such as Kalman Filtering
How to apply state estimation strategies such as Kalman filtering in MATLAB to real world problems.
3.5
74 Ratings
$ 94.99
per course
Also check at
FAQs About "Optimization and State Estimation Fundamentals"
Is the online course "Optimization and State Estimation Fundamentals" free?
The online course "Optimization and State Estimation Fundamentals" costs $94.99 on the online classes platform Udemy
Is "Optimization and State Estimation Fundamentals" an online course worth taking?
131 students from the online classes platform Udemy have given an average rating of 3.5 to the online "Optimization and State Estimation Fundamentals" and at least 2659 have completed this online training.
About
Elektev is on a mission to organize educational content on the Internet and make it easily accessible. Elektev provides users with online course details, reviews and prices on courses aggregated from multiple online education providers. DISCLOSURE: This page may contain affiliate links, meaning when you click the links and make a purchase, we receive a commission.