ECE 4200 - Modern Controls

Institution:

Utah Tech University

Subject:

Description:

Introduces the foundational principles of several advanced control and estimation techniques. Topics are drawn from the sub-fields of control theory including linear systems, optimal control, estimation, nonlinear systems, adaptive control, and reinforcement learning. Students learn the theoretical background of these methods and practice implementing them in simulation. ***COURSE LEARNING OUTCOMES (CLOs)** At the successful conclusion of this course students will: 1) Design and implement advanced control techniques on nonlinear uncertain Multiple-Input Multiple-Output (MIMO) systems. 2) Identify which control and estimation technique (including advanced and traditional methods) is most appropriate for a given system and justify that choice. 3) Analyze the stability of nonlinear systems using Lyapunov theory. 4) Explain the impacts of and (if necessary) account for disturbances, optimality requirements, measurement uncertainties, nonlinearities, and model uncertainties. 5) Acquire and apply new knowledge using appropriate learning strategies. Prerequisites: MECH 3200 (grade C- or higher) OR Instructor Permission. FA

Credits:

3.00

Credit Hours:

Prerequisites:

Corequisites:

Exclusions:

Level:

Instructional Type:

Lecture

Notes:

Additional Information:

Historical Version(s):

Institution Website:

www.utahtech.edu/

Phone Number:

(435) 652-7500

Regional Accreditation:

Northwest Commission on Colleges and Universities

Calendar System:

Semester

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