printer friendly pageENGR 205: Introduction to Control Design Techniques
Review of root-locus and frequency response techniques for control system analysis and synthesis. State-space techniques for modeling, full-state feedback regulator design, pole placement, and observer design. Combined observer and regulator design. Lab experiments on computers connected to mechanical systems. Prerequisites: 105,
MATH 103, 113. Recommended: Matlab.
Terms: Aut
| Units: 3
ME 286: Identification and Estimation in Engineering Design
The main idea for the course is to seek a deeper and more theoretical understanding of some practically useful techniques for modeling and estimation in engineering design. The class will draw from system identification, system modeling theory, statistics and data science disciplines in order to "let the data speak about the system." Prerequisites:
ENGR205,
EE263,
AA212. We will not use any specific materials covered in these subjects, but we assume basic background knowledge of state space, transfer functions, frequency responses, probability, and linear algebra. Intermediate Proficiency in Matlab is preferred (but Python is OK).
Terms: Spr
| Units: 3
Instructors:
Mayalu, M. (PI)
;
Huang, Y. (TA)
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