ME 598

Spring 2020 All Classes

All Classes

Special Topics

SHOW FINAL EXAM SCHEDULE

Credit: 0 TO 4 hours.

Subject offerings of new and developing areas of knowledge in mechanical engineering intended to augment the existing curriculum. See Class Schedule or departmental course information for topics and prerequisites.

May be repeated in the same or separate terms if topics vary.

My Favorites

My Schedule

Section Status updates every 10 minutes.

ME 598 class schedule data for spring 2020
CRN	Type	Section	Time	Day	Location	Instructor	Section Details
48380	Lecture-Discussion	DM	11:00AM -12:20PM	TR	206 Transportation Building	Trinkle, D	Part of Term: 1 Date Range: 01/21/20-05/06/20 Credit: 4 hours Section Title: Intro to Digital Materials Section Info: Meets with MSE 598 (70522) and CSE 498 (70543). We introduce the connection of materials and data science, and specific issues regarding experimental and computational materials data. Topics include data acquisition and management, data curation, uncertainty quantification, and applying machine learning to materials data. The focus will be on current scientific literature in the emerging materials and data area. Restriction(s): Restricted to Graduate - Urbana-Champaign.
70708	Online	KLL	ARRANGED	n.a.	n.a.	Wise, K	Part of Term: 1 Date Range: 01/21/20-05/06/20 Credit: 4 hours Section Title: Advanced Robust Control Section Info: This course covers advanced robust control methods including optimal control using observer feedback, Linear Quadratic Gaussian, Kalman Filtering, H-infinity optimal control, static and dynamic projective control, and the Loop Transfer Recovery process to recover state-feedback frequency domain properties in observer based designs. None of these methods are covered in the ME562 course. The course then introduces adaptive augmentation to the optimal control observer-based architectures in which the observer becomes a closed-loop reference model. This adaptive control methods is completely different from the L1 Adaptive Control method conceived by Hovakimyan and Cao Restriction(s): Restricted to MS:Industrial Engr Online-UIUC, MS:Mechanical Engineerng -UIUC, MS: Aerospace Engr-Online-UIUC, NDEG:Grad Nondegree-CE-UIUC, or MENG:Mech Engineering Onl-UIUC.
70709	Online	KNC	ARRANGED	n.a.	n.a.	Wise, K Wu, Z	Part of Term: 1 Date Range: 01/21/20-05/06/20 Credit: 4 hours Section Title: Advanced Robust Control Section Info: This course covers advanced robust control methods including optimal control using observer feedback, Linear Quadratic Gaussian, Kalman Filtering, H-infinity optimal control, static and dynamic projective control, and the Loop Transfer Recovery process to recover state-feedback frequency domain properties in observer based designs. None of these methods are covered in the ME562 course. The course then introduces adaptive augmentation to the optimal control observer-based architectures in which the observer becomes a closed-loop reference model. This adaptive control methods is completely different from the L1 Adaptive Control method conceived by Hovakimyan and Cao. If you are restricted from registering for this course and would like an approval override, please contact Susan Roughton (roughton@illinois.edu). Restriction(s): Restricted to MS:Industrial Engineerng -UIUC, MS:Mechanical Engineerng -UIUC, PHD:Mechanical Enginerng -UIUC, MS: Aerospace Engr -UIUC, or MENG:Mechanical Enginerng-UIUC.