Athanasios Sideris

Education: 

B.S., National Technical University of Athens,Greece, Electrical and Mechanical Engineering, 1980
M.S., University of Southern California, Electrical Engineering, 1981
Ph.D., University of Southern California, Electrical Engineering, 1985
M.S., University of Southern California, Mathematics, 1986

Address: 

The Henry Samueli School of Engineering
University of California, Irvine
Irvine, CA 92697-3975

ZOT Code: 
3975
Location: 
Lab: EG 3116
Office: EG 3205
Phone: 
(949) 824-8139 Office
(949) 824-3783 Lab
Fax: 
(949) 824-8585
Email: 
asideris@uci.edu
Research: 

Dr. Sideris is interested in control systems and neural networks.

His current activities include a study of constrained H-infinity optimal control for robust control design, wherein the research is aimed at extending constrained H-infinity optimization. One of the objectives of the project is to develop the constrained H-infinity optimal control framework so that structured model uncertainty is handled with reduced conservatism, enabling a more complete set of specifications to be addressed directly. Another objective is to obtain low-order constrained H-infinity optimal controllers.

Dr. Sideris also is working toward neural network control for robotic manipulators. The goal of this project is to obtain improved control system performance in repetitive trajectory control tasks as the supporting neural network is being trained. Important considerations include on-line training of the neural networks and their ability to generalize. A novel neural network structure has been proposed and its properties are currently under investigation.

In another project, Dr. Sideris is working toward the robust control of vehicle motion, taking into account the control of combined longitudinal and lateral motion of individual vehicles with partial state measurements, which are longitudinal and lateral deviations, longitudinal velocity and yaw rate. He and his group have developed an eighth-order nonlinear state-space model to describe the combined lateral and longitudinal vehicle motion, where both coupling terms arising from the velocities and from the controls are included.

Research topics: 
Control systems, neural networks.