Our team was awarded by DOT to establish a $30M Regional University Transportation Center (UTC).
Instructor: Dr. Ali Karimoddini, Dept. of Electrical and Computer Engineering, NC A&T University, Email: akarimod at ncat.edu
Prerequisite: EECEN-668
Course Overview: In many practical control problems it is required to find a control technique to optimally improve the dynamical system's performance while satisfying different physical constraints. The system performance can be quantified as a performance index or a cost function. Then, the problem will be reduced to find a control law to optimize a given cost functions. This course explores theory and application of optimal control for linear and nonlinear systems. The course uses optimal control theory and computational optimal control algorithms to improve the system's performance, reduce the control energy, and stabilize the system.
Topics
In addition following topics may be covered or the students may be asked to research about:
Textbooks
Simulation Tools
Robotics Experiments
The students will be expected to apply the course materials to different robotic platforms including aerial and ground robots.