Research in this area includes robust control, on-line and distributed optimization, fault
detection and identification in control systems, learning methods, control with neural
networks, fuzzy systems, neuro-fuzzy systems, hybrid systems, multi-agent coordination,
mobile robotics, humanoid robotics, fault-tolerant robotic manipulators, and applications
of control in other disciplines such as energy systems and biological systems.
Control systems must often function correctly in the presence of uncertainties, noise, and
disruptions. Research on robust control is focused on utilizing knowledge of likely
perturbations to analyze and design robust control strategies. The design of failure-
tolerant robotic manipulators is such an example, whose applications include automatic
excavation and remote operation in hazardous environments. For control systems with
unknown input and model structure/parameters, estimation and optimization algorithms
are being developed that can function in real-time and in a distributed environment.
Neural networks and fuzzy systems are among the tools used for these studies.
Discrete-event systems, and more recently hybrid systems, provide a means for modeling
complex physical systems that include both continuous dynamics and mode transitional
events occurring at discrete times. Examples of such real-world systems include
embedded systems, computer networks, transportation systems, etc. Research is currently
being carried out on the stability, optimality, and reachability of hybrid systems, as well
as their applications in, e.g., hybrid electric vehicles, biological systems, software testing,
control over sensor networks, and energy saving in portable electronics devices.
Robotics is a cross-disciplinary research area that includes faculty and students in
Electrical and Computer Engineering, Mechanical Engineering, Psychology Science, and
Health and Kinesiology.
Current research interests include, but are not limited to, skill
learning and locomotion control for humanoid robots, modeling of human and robot
motor control systems, perception and cognition for humanoids, dynamic robotic sensor
networks, vision-based SLAM (simultaneous localization and mapping) for mobile
robots, and human-robot interaction.
Education activities include lecture and
experimental courses for graduate and undergraduate students.
Furthermore, mobile and
humanoid robots are being used in our K-12 outreach activities and summer camps.
Jianghai Hu (Area Chair)
ECE 30800 (System Simul & Cont Lab)
V. "Ragu" Balakrishnan
ECE 38200 (Feedback Syst Anal & Des)
Raymond A. Decarlo
ECE 48300 (Dig Cont Sys Anal & Des)
C. S. George Lee
ECE 56900 (Intro to Robotic Systems
Steven D. Pekarek
ECE 58000 (Optim Meth for Sys & Cont)
Scott D. Sudhoff
Indicates faculty members with primary area in Automatic Control