AME556
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AME556 - Nonlinear and Optimal Control
Course Description
Advanced notions of stability and control design for dynamical systems. Topics include Lyapunov stability, bifurcation theory, methods of model reduction for nonlinear systems, and the theory and implementation of optimal control methods.
This course is an introduction to two topics in control theory: nonlinear and optimal control. It is designed as the final course of a four-course sequence in advanced control. Therefore, it is assumed that you have had a course in state-space control of linear systems and are familiar with the principles of feedback, block diagrams, and notions such as observability and controllability in the context of linear systems.
This course is an introduction to two topics in control theory: nonlinear and optimal control. It is designed as the final course of a four-course sequence in advanced control. Therefore, it is assumed that you have had a course in state-space control of linear systems and are familiar with the principles of feedback, block diagrams, and notions such as observability and controllability in the context of linear systems.
Min Units
3
Max Units
3
Repeatable for Credit
No
Grading Basis
GRD - Regular Grades A, B, C, D, E
Career
Graduate
May be convened with
Component
Lecture
Optional Component
No
Typically Offered Main Campus
Spring