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 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.
Understand the theory of operation of Kalman filters and optimization strategies
Estimate system states using Kalman Filters
Extract parameters from data using optimization strategies
13 Lectures
8 Lectures
Mitch is a Canadian filmmaker from Harrow Ontario, Canada. In 2016 he graduated from Dakota State University with a B.S, in Computer Graphics specializing in Film and Cinematic Arts.Currently, Mitch operates as the Chairman of Red Cape Studios, Inc. where he continues his passion for filmmaking. He is also the Host of Red Cape Learning and Produces / Directs content...
Dr. Ryan Ahmed is a professor and best-selling online instructor who is passionate about education and technology. Ryan has extensive experience in both Technology and Finance. Ryan holds a Ph.D. degree in Engineering from McMaster* University with a focus on Mechatronics and Electric Vehicles. He also received a Master of Applied Science degree from McMaster, focusing on Artificial Intelligence (AI)...
Stemplicity is dedicated to transforming education by making high-quality learning accessible, affordable, and inclusive for everyone, everywhere. Our mission is to empower learners of all backgrounds through engaging, practical, and fun courses in Science, Technology, Engineering, and Math (STEM). We strive to simplify complex concepts, making STEM education easy, enjoyable, and impactful for all.
It is great course. But still I think he should provide code files. because one very important function in EKF implementation was not shown to us so we cannot implement same functionality by seeing the lecture. the second part, genetic algorithm for parmeters estimation was really great and I was able to implement by seeing videos.
Thank you
Clear, detailed and gives you what your need.
Well explained and easy to follow.
always, Great Instructor
If codes would have provided for practice then it might be awesome. The course was enjoyable but i expected MATLAB Simulink application foe GA.
Instructor simply skipped few things in his lecture.
Instructor does not answer any question in "Q&A" section.
the course lacks practice content, it is limited to explaining specific exercises and does not propose new development tools for the student,
No courses material provided (code, data etc.) Pretty hard to practice without these materials
The Matlab code is not shared. The teacher skipped the extended Kalman filter update model coding and did not even share the model he was using for Estimation. When I started the course, I found it informative, but as the coding part started, I was so disappointed. I have invested my money to gain complete knowledge about the topic, but here I am, half done now after completing the course. The teacher should share the materials with all who are purchasing the course.
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Anthony R.
Missing Source data to practice MATLAB coding with (located in another course)