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7.2.2 Controls

You are here: Home / Graduate Handbook / 7.2.2 Controls

If Controls represents the major for your PhD study, you should take at least 5 courses from the lists shown below. Of these, at least 4 courses should be from the Controls Core list.

You must consult your Major Field Advisor if you are planning to include any of the courses listed in the emphasis areas as part of a non-control minor that has common courses with the emphasis area (e.g. an emphasis in Dynamic Systems and a minor in Dynamics).

Selection of other courses not listed can be done with the approval of the Major Field Advisor and the Vice Chair for Graduate Study. You should prepare a written justification of your selection.

If Controls represents a minor for your PhD study, you should take at least 2 courses from the Controls Core Course list. You may not double-count courses towards both the major and the minor requirements.

Core Courses in Controls

Note: Cannot receive credit for both ME132 and MEC134

Eng 231 – Mathematical Methods in Engineering
Mech Eng 292B – Advanced Special Topics
Mech Eng C231A / El Eng C220B – Experiential Advanced Control Design I
Mech Eng C231B / El Eng C220C – Experiential Advanced Control Design II
Mech Eng 132 Dynamic Systems and Feedback
Mech Eng C232 / El Eng C220A – Advanced Control Systems I
Mech Eng 233 – Advanced Control Systems II
Mech Eng C134 / Electrical Eng C128 – Feedback Control Systems
Mech Eng C237 / El Eng C222 – Nonlinear Systems
Mech Eng 290J – Predictive Control for Linear and Hybrid Systems
Mech Eng 290N – System Identification

One Unit Core Courses
Students would need to take all three to count for one core course
Mech Eng 190L – Practical Control System Design: A Systematic Loop Shaping Approach
Mech Eng 190M – Model Predictive Control
Mech Eng 190Y – Practical Control System Design: A Systematic Optimization Approach

Courses for Controls with Control Systems Emphasis
Mech Eng C290S / Electrical Eng C291E – Hybrid Systems and Intelligent Control
Mech Eng C236 / Civ Eng C291F – Control and Optimization of Distributed Parameters Systems
Electrical Eng 221A – Linear System Theory
Electrical Eng 223 – Stochastic Systems: Estimation and Control
Electrical Eng 226A – Random Processes in Systems
Electrical Eng 227A / B – Introduction to Convex Optimization / Convex Optimization and Approximation

Courses for Controls with Dynamic Systems Emphasis
Mech Eng 175 – Intermediate Dynamics
Mech Eng 273 – Oscillations in Linear Systems
Mech Eng 274 – Random Oscillations of Mechanical Systems
Mech Eng 275 – Advanced Dynamics
Mech Eng 277 – Oscillations in Nonlinear Systems
Mech Eng 280A – Introduction to the Finite Element Method

Courses for Controls with Mechatronics & Robotics Emphasis
Mech Eng 235 – Design of Microprocessor-based Mechanical Systems
Mech Eng 236C – Vehicle Dynamics and Control
Mech Eng 236U – Introduction to Control of Unmanned Aerial Vehicles
Mech Eng 292B – Hybrid robotics
Mech Eng 229 – Design of Basic Electro-Mechanical Devices
Mech Eng C106a / El Eng C106a / Bioengineering C125 – Introduction to Robotics (last offered: Fall 2017)
Mech Eng C106b / Electrical Eng C106b – Robotic Manipulation and Interaction
El Eng 192 – Mechatronic Design Laboratory

Previous Post: « 7.2.1 Biomechanical Engineering
Next Post: 7.2.3 Design »

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