Kalman Filter and State Estimation Workshop
$1490 per person
This two-day course discusses applications and worked examples of Kalman filtering and other advanced state estimation algorithms. The course focuses on Matlab examples and is thus more like a hands-on workshop rather than a lecture-oriented course. Students are expected to bring their own computers to the class with Matlab, but no Matlab toolboxes are used in this workshop. Students will interactively participate in Matlab programming. Matlab scripts written by the instructor will be provided to all students, and additional scripts will be written during class.
Dr. Dan Simon has been a professor at Cleveland State University since 1999 and is also the owner of Innovatia Software, an independent consulting firm. He had 14 years of industrial experience in the aerospace, automotive, biomedical, process control, and software engineering fields before entering academia. He has applied Kalman filtering and other state estimation techniques to a variety of areas, including motor control, neural network and fuzzy system optimization, missile guidance, communication networks, fault diagnosis, vehicle navigation, robotics, prosthetics, and financial forecasting. He has over 100 publications in refereed journals and conference proceedings, including many on the topic of Kalman filtering. He has written three graduate-level text books.
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