EEL 4930: Control of Marine and Aerial Vehicles – Fall 2015

 Do you want to learn the basics of control and navigation of aerial and underwater vehicles? Here is a course for you.

EEL 4930:  Control of Marine and Aerial Vehicles – Fall 2015
Time: T 10:40am-11:30pm and R 10:40am-12:20
Grading: 70% project, 30% HW
Instructor: Professor Mohseni

This course provides an introduction to the basic theory and practical aspects of control and navigation of marine and aerial vehicles. The first part of the course will cover basic materials while the later part of the course introduces a selective introduction of the state of the art research problems currently under investigation. 
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The first part of the course covers topics such as the basic of marine and aerial vehicle terminology, kinematics and dynamics of moving frames, vehicle dynamics, nonlinear equations of motion and linearization, maneuvering tests, fundamental of controls (stability and transfer matrix, PID, state space representation, etc), Control design, sensors for aircrafts and marine vehicles, Kalman filter, autopilot design via successive loop closure, state estimation, guidance, path planning. The second part of the course is more focused on advanced topics and could cover materials from probabilistic models for control problems (probability introduction, Bayes approach and inference, [mohseni]# The first part of the course covers topics such as the basic of marine and aerial vehicle terminology, kinematics and dynamics of moving frames, vehicle dynamics, nonlinear equations of motion and linearization, maneuvering tests, fundamental of controls (stability and transfer matrix, PID, state space representation, etc), Control design, sensors for aircrafts and marine vehicles, Kalman filter, autopilot design via successive loop closure, state estimation, guidance, path planning. The second part of the course is more focused on advanced topics and could cover materials from probabilistic models for control problems (probability introduction, Bayes approach and inference, ….), uncertainty analysis in vehicle motion, sensor measurement and modeling, localization and SLAM.
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