Optimization and State Estimation Fundamentals

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Learn optimization fundamentals and state estimation techniques with this practical course

This course covers the details of how to develop optimization and state estimation algorithms and apply them to real world practical applications. The course coversthe following topics:

Basic of system modeling which is how to describe any mechanical or electrical system in a mathematical form.
The theory of operation ofGenetic Algorithm optimization which is extensively used in several industrial and academic applications
How to optimize parameters using experimental data
Implementation ofGenetic 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 toapply state estimation strategies such as Kalman filtering in MATLAB to real world problems.

Optimization and State Estimation Fundamentals F430baa9aed584424e01ef6f3cc50766

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