You will be assessed a $25 late fee if you are enrolling one day after the course start date. You should work with the instructor to catch up on coursework.
Click OK if you still wish to enroll. Otherwise, click Cancel.
The course you selected is already in progress. You should work with the instructor to catch up on coursework.
Click OK if you still wish to enroll. Otherwise, click Cancel.
Applied Control Theory for Embedded Systems
Course closed to new registrations: Call ( 949 ) 824-5414 for more information or sign up below to be notified when this course becomes available.
×
Course Description
Apply modern control theory to optimize embedded system designs using microcontrollers or DSP devices. The majority of embedded designs are closed loop control systems, as opposed to open loop control. Gain practical how-to knowledge in deriving and applying practical control theory algorithms. Z Transforms are introduced as a practical way of developing the needed difference equations for optimal designs. Learn to evaluate and select the best control algorithm for desired control applications such as proportional-integral-derivative (PID), fuzzy logic or Z Transform-derived difference equations.
Prerequisite: EECS 805, C Programming for Embedded Systems and EECS X497.32, Fundamentals of Embedded Systems Design and Programming or equivalent experience.
NOTE: Students are required to purchase MathWorks http://www.mathworks.com/academia/student_version/
includes MATLAB, Simulink, and the Control Systems Toolbox, Fuzzy Logic Toolbox. The Fuzzy Logic Toolbox is available as an add-on product for the
MATLAB and Simulink Student Suite
Instructor
Thomas C. Jannett, M.S., Ph.D., is Professor Emeritus of Electrical and Computer Engineering at The University of Alabama at Birmingham. He has more than 30 years of experience in teaching and research. Research expertise includes smart sensor networks that use intelligent control and signal processing. He developed instruments and rehabilitation devices that use embedded microcomputers for data acquisition, signal processing, and intelligent control. He has published extensively in these areas. Current interests include analytics, machine learning, and the Internet of Things.
Textbook Information
Textbooks for your course may be purchased from any vendor or bookseller of your choice.
No textbook information is available for this course.
Meeting Schedule
Event Date Day Start Time End Time Location Room
START 04/03/2023 Monday --- --- Online (Access Begins) ---
END 06/11/2023 Sunday --- --- Online (Access Ends) ---