C. R. (Bob) Koch, PhD, PEng
Personal Website: https://sites.ualberta.ca/~ckoch/
Contact
Professor, Faculty of Engineering - Mechanical Engineering Dept
- ckoch@ualberta.ca
- Phone
- (780) 492-8821
- Address
-
10-232 Donadeo Innovation Centre For Engineering
9211 116 StEdmonton ABT6G 2H5
Overview
Area of Study / Keywords
Website: https://sites.ualberta.ca/~ckoch/ Mechanical Systems Mechatronics Sensors Machine Learning Control Energy And Environment Control Systems Renewable Energy Combustion Engine Control Emissions Flow Control Transportation
About
Education:
- PhD (Stanford University - 1991)
- MS (Stanford University - 1986)
- BSc (University of Alberta - 1985)
Research
Application of control to energy systems. Control and diagnostics are developed using both physics and data driven methods and generally applied to; internal combustion engines, fuel cells, and fluid systems. Methods developed are usually experimentally tested in our extensive test facilities.
Publications:
Teaching
Undergraduate courses in the areas of: feedback control, dynamics and fluid mechanics
Graduate courses in the areas of: machine learning control, iterative learning control and distributed parameter control
Courses
MEC E 420 - Feedback Control Design of Dynamic Systems
Design of linear feedback control systems for command-following error, stability, and dynamic response specifications. PID, Root-locus, frequency response and design techniques. An introduction to structural design limitations. Examples emphasizing Mechanical Engineering systems. Some use of computer aided design with MATLAB/Simulink. Controls Lab - control of mechanical systems. Prerequisites: MEC E 390. Credit can only be granted for one of MEC E 420, ECE 362, CH E 448.
MEC E 488 - Special Topics in Mechanical Engineering
This course will be offered at the discretion of the Department of Mechanical Engineering. Topics may vary from year to year. Students should check with the Mechanical Engineering Department Office for details on a specific section topic.
MEC E 614 - Iterative Learning Control
Mathematical preliminaries (discrete time systems). Stability and transient response of Iterative Learning Control (ILC). Design of ILC in both the time and frequency domain. Convergence and design of repetitive control.