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Udemy

Optimization and State Estimation Fundamentals

via Udemy

Overview

Learn optimization fundamentals and state estimation techniques with this practical course!

What you'll learn:
  • 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 coversthe following topics:

  1. Basic of system modeling which is how to describe any mechanical or electrical system in a mathematical form.
  2. The theory of operation ofGenetic Algorithm optimization which is extensively used in several industrial and academic applications
  3. How to optimize parameters using experimental data
  4. Implementation ofGenetic algorithm logic in MATLAB environment and apply it to real world problems
  5. How to represent systems in State space representation form.
  6. Theory of operation of state estimation strategies such as Kalman Filtering
  7. How toapply state estimation strategies such as Kalman filtering in MATLAB to real world problems.

Taught by

Dr. Ryan Ahmed, Ph.D., MBA, Mitchell Bouchard and Stemplicity Inc.

Reviews

4.4 rating at Udemy based on 216 ratings

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