RELATED GRADUATE COURSES AT UIC

Please note that these are just course guidelines. The actual syllabi are decided by the respective course instructors for each semester. You are encouraged to contact the instructor of your chosen course for further details. You are also encouraged to look into the undergraduate and graduate catalogs. Please consult the UIC Timetable to see whether the course you are interested in is offered in the upcoming semester.

ECE 451 Control Engineering
State-space representation of systems; realization theory; stability; performance; modern control design techniques, including: fuzzy, learning, adaptive and nonlinear control.
Last time offered in: Fall 2009
Instructor: Dr. Miloš Žefran

ECE 452 Robotics: Algorithms and Control
Kinematic and dynamic modeling of robots; configuration space; motion planning algorithms; control of robots; sensors and perception; reasoning; mobile robots.
Last time offered in: Spring 2009
Instructor: Dr. Miloš Žefran

ECE 550 Linear Systems Theory and Design
State variable description, linear operators, impulse response matrix, controllability, observability, reducible and irreducible realizations, state feedback, state observers and stability.
Last time offered in: Spring 2009
Instructor: Dr. Derong Liu

ECE 551 Optimal Control
Optimal control of dynamic systems in continuous and discrete time, maximum principle, dynamic programming and constraints, learning systems.
Last time offered in: Fall 2009
Instructor: Dr. Miloš Žefran

ECE 552 Nonlinear Control
Nonlinear phenomena, linear and piecewise linear approximations, describing functions, servomechanisms, phase plane, limit cycles, Lyapunov's stability theory, bifurcation, bilinear control, vibrational control, learning systems.
Last time offered in: Fall 2008
Instructor: Dr. Miloš Žefran

ECE 553 System Identification
On-line and off-line identification of control systems in frequency and time domain, considering noise effects, nonlinearities, nonstationarities and distributed parameters.

CS 594 Special Topics: Probabilistic Robotics
Recursive state estimation, Markov localization, Monte Carlo localization, simultaneous localization and mapping, planning using partially observable Markov decision processes (POMDPs), approximate solutions to POMDPs.
Last time offered in: Fall 2006
Instructors: Dr. Piotr J. Gmytrasiewicz and Dr. Miloš Žefran