Linear Dynamical Systems
Offered By: Indian Institute of Technology Mandi via Swayam
Course Description
Overview
Linear system is the cornerstone of control theory and a prerequisite subject for almost all advanced level graduate courses in this area. The aim of this course is to take a beginning student, with some prior exposure to elementary transform and linear algebra, through a motivated and integrated development of the fuller perspective of the linear system theory. This course will also strengthen the basic logical arguments behind mathematical proofs.<!--td {border: 1px solid #ccc;}br {mso-data-placement:same-cell;}-->INTENDED AUDIENCE :UG, PG Students and Industry Personnel.RE-REQUISITES : UG control systems, basics of linear algebraSUPPORT INDUSTRY :Robotics/Mechatronics (e.g. ABB),Automation Sector (e.g. Honeywell Automation, Robert Bosch Ltd.), ProcessIndustries (e.g. ACC Ltd.)
Syllabus
Week 1:State-space solutions and realizations
Week 2:Stability
Week 3:Controllability: Part I
Week 4:Controllability: Part II
Week 5:State Feedback Controller Design: Part I
Week 6:State Feedback Controller Design: Part II
Week 7:Observability and minimal realization
Week 8:Observer Design and Output Feedback
Thanks to the support from MathWorks, enrolled students have access to MATLAB for the duration of the course.
Week 2:Stability
Week 3:Controllability: Part I
Week 4:Controllability: Part II
Week 5:State Feedback Controller Design: Part I
Week 6:State Feedback Controller Design: Part II
Week 7:Observability and minimal realization
Week 8:Observer Design and Output Feedback
Thanks to the support from MathWorks, enrolled students have access to MATLAB for the duration of the course.
Taught by
Prof. Tushar Jain
Tags
Related Courses
3D Reconstruction - Multiple ViewpointsColumbia University via Coursera 3D Reconstruction - Single Viewpoint
Columbia University via Coursera Digitalisation in Aeronautics and Space
Technische Universität München (Technical University of Munich) via Coursera Artificial Intelligence Planning
University of Edinburgh via Coursera Inteligencia Artificial y Robótica
Universidad Anáhuac via edX