Developing and Validating Intelligent Vehicle Control Systems

  • Online

Learn how to model and evaluate performance of intelligent vehicle control algorithms using state-of-the-art techniques and concepts, especially in real-world conditions. 

What you will learn:

  • Recall control design & validation challenges for CAVs
  • Explain the working principle & pros and cons of the Model Predictive Control (MPC) approach
  • Recall MPC design & validation steps in CAV scenarios
  • Apply MPC to autonomous cruise control (ACC) problem as a case study

This course is part of the following course program:

IEEE Guide to Autonomous Vehicle Technology

Courses included in this program:

Who should attend: Electrical engineer, Network engineer, Data engineer, Design engineer, Hardware engineer, Security engineer, Lead engineer, Project engineer, Product engineer


Nasser Lashgarian Azad Photo

Nasser Azad

Dr. Nasser Lashgarian Azad is currently an Associate Professor in the Department of Systems Design Engineering, University of Waterloo, and the Director of Smart Hybrid and Electric Vehicle Systems (SHEVS) Laboratory. He was a Postdoctoral Fellow with the Vehicle Dynamics and Control Laboratory, Department of Mechanical Engineering, University of California, Berkeley, CA, USA. Dr. Azad's primary research interests lie in control of connected hybrid and electric vehicles, autonomous cars, and unmanned aerial vehicle quadrotors. He is also interested in applications of Artificial Intelligence for solving different engineering problems. Due to his outstanding work, Dr. Azad received an Early Researcher Award in 2015 from the Ministry of Research and Innovation, Ontario, Canada. 

Alexander Wyglinkski Photo

Alexander Wyglinkski

Dr. Alexander M. Wyglinski is a Professor of Electrical & Computer Engineering at Worcester Polytechnic Institute (WPI), President of the IEEE Vehicular Technology Society, and Director of the Wireless Innovation Laboratory (WI Lab). His research interests are in the area of wireless communications, connected vehicles, cognitive radios, autonomous/self-driving cars, and dynamic spectrum access networks. Dr. Wyglinski has authored/co-authored over 120 peer-reviewed journal articles and conference papers, as well as three textbooks. Dr. Wyglinski is a Senior Member of the IEEE, as well as a member of Sigma Xi, Eta Kappa Nu, and the American Society of Engineering Education (ASEE). 

Publication Year: 2018

ISBN: 978-1-5386-8559-4

Developing and Validating Intelligent Vehicle Control Systems
  • Course Provider: Educational Activities
  • Course Number: EDP536
  • Duration (Hours): 1
  • Credits: 0.1 CEU/ 1 PDH