Course Schedule - Fall Semester 2018

     

ELEC 501 001 (CRN: 12166)

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 DCH 1046 (20-AUG-2018 - 30-NOV-2018) 
Session: Full Term
Grade Mode: Standard Letter
Course Type: Lecture
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: 7
Enrollment data as of: 29-NOV-2020 11:35AM
 
Fees: None
 
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.