Welcome to the homepage of the Intelligent Control and Estimation (ICE) Laboratory in the College of Engineering and Physical Sciences at the University of Guelph. The Principal Investigator (PI) of the ICE Lab is Dr. S. Andrew Gadsden.

Dr. Gadsden’s research background and expertise includes a broad consideration of state and parameter estimation strategies, artificial intelligence, variable structure theory, control theory, fault detection and diagnosis, and cognitive systems. His current research interests may be categorized in three main areas: (1) artificial intelligence; (2) advanced control systems and techniques; and (3) state and parameter estimation theory. Dr. Gadsden and his research team are targeting the development of new control methods that enable robustness to disturbances and uncertainties while providing accurate and stable system control. The team is creating and testing novel estimation strategies that provide improved performance in the presence of system and measurement nonlinearities. The team is also working on developing autonomy in the area of cognitive systems; at the core of which is artificial intelligence.

Members of the ICE Lab are actively working in the following areas:

  • aerospace and space systems
  • agriculture
  • autonomous systems
  • chemical formulations
  • data science
  • green technology
  • mechatronics and robotics

Please browse our laboratory website and contact us if you have any questions or comments.