Course Schedule and Catalog
Course Schedule - Fall Semester 2017
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
Meeting location information can now be found on student schedules in ESTHER (for students) or on the Course Roster in ESTHER (for faculty and instructors).Additional information available here.
ELEC 501 001 (CRN: 15697)
APPROXIMATION OF SYSTEMS
Long Title: DATA DRIVEN APPROXIMATION OF DYNAMICAL SYSTEMS
Department: Electrical & Computer Eng.
Instructor: Antoulas, Athanasios C
Meeting: 4:00PM - 5:15PM TR (21-AUG-2017 - 1-DEC-2017)
Part of Term: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
Language of Instruction: Taught in English
Method of Instruction: Face to Face
Credit Hours: 3
Course Syllabus:
Course Materials: Rice Campus Store
Restrictions:
Must be enrolled in one of the following Level(s):
Graduate
Section Max Enrollment: 39
Section Enrolled: 3
Enrollment data as of: 30-APR-2025 3:26AM
Final Exam: GR Course-Dept Schedules Exam
Description: Model reduction seeks to replace a large-scale system described in terms of differential or difference equations by a system of much lower dimension that has nearly the same response characteristics. Model (order) reduction (MOR) is commonly used in the simulation and control of complex physical process. The systems that inevitably arise in such cases are often too complex to meet the expediency requirements of interactive design, optimization, or real time control. MOR has been advised as a means to reduce the dimensionality of these complex systems to a level that is amendable to such requirements. The ensuing methods have been an indispensable tool for speeding up the simulations arising in various engineering applications involving large-scale dynamical systems. In this course we will develop the underlying approximation theory paying particular attention to its data-driven aspects.