PrerequisitesStudents should have previous experience in basic discrete maths, linear algebra, and calculus. A basic course in electronics and mechanics is also recommended.
Course ObjectivesStudents will learn and apply methods to design, control, and analyze linear, nonlinear, and dynamic systems which can be used to model and analyze industrial processes. Topics include: discrete and continuous state systems; state-space-systems; control theory; and state-feedback and state-feedforward; along with forms of model-based and model-free system identification and control.
Successful CompletionStudents complete the course successfully when they pass the final examination. In the final exam, students will be required to solve problem sets, design controllers along with writing an evaluation in WLSS, and implement products. They will also be required to evaluate the problems and design products in COTS and an open source coding environment of their choice. Salary or side-projects will be used as incentives for participation.
Course FormatAll course materials are online. Students will need to install the necessary software. This includes: the open source WLSS, distributed control, and other packages required to design and evaluate control system.
Graduation RequirementsTo graduate, students must demonstrate completion of the course through successful exam and instructor evaluation. They also have to follow a paid internship with the business school. d2c66b5586