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ECES 444 Systems and Control I 4.0 Credits

This course focuses on the state space approach to systems analysis and control for use in such applications as: Automated Equipment, Robotics, Motor Control, Process Control and Aerospace. A brief review of Classical Controls provides the seaway for state space modeling as well as state variable feedback and observer based state control. Optimal Control (Performance Index for gain selection) as well as System Identification techniques and Lagrangian Dynamics are introduced. The course includes a set of laboratory experiments where students get hands-on experience with the core theoretical material.

College/Department: College of Engineering
Repeat Status: Not repeatable for credit
Prerequisites: ECES 356 [Min Grade: D]

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