Louisiana Tech University
Rastko R. Selmic, Ph.D.
Assistant Professor
Entergy Corp. Endowed Professor in Electrical Engineering *
Department of Electrical Engineering
College of Engineering and Science
Louisiana Tech University
Arizona Avenue, Nethken Hall 229
Ruston, LA 71272, USA
Tel: 318-257-4641; Fax: 318-257-4922
Email: rselmic@latech.edu
Courses
Biography
Research
Students
Publications
Service
Patents
Projects
Personal
Ph.D., The University of Texas at Arlington, 2000
M.S., The University of Texas at Arlington, 1997
B.S., University of Belgrade, 1994Intelligent Sensors and Actuators Laboratory
Courses
ELEN557, Wireless Sensor Networks
ENGR221, Electrical Engineering & Circuits I
ELEN471, Automatic Control Systems
ELEN479, Automatic Control Systems Lab
ELEN223, Electrical Circuits II
ELEN572, Digital Control Systems I
ELEN483 / ELEN557, Motor Control
Biography
Rastko Selmic was born in Belgrade, Serbia (ex Yugoslavia) in 1970. In 1994 he received B.S. in Electrical Engineering degree from the University of Belgrade. In 1997, he received his M.S. degree in Electrical Engineering from the University of Texas at Arlington. He received his Ph.D. degree in Electrical Engineering from the University of Texas at Arlington in 2000.
His research interests are in wireless sensor networks, intelligent sensors and actuators, control systems, failure detection in nonlinear systems, and neural networks.
From 1995 to 2000, he has been graduate research assistant at Automation and Robotics Research Institute. During 1997, he was consultant for Davis Technologies International Inc. In 1996 and 1988-99 he was working for Signalogic, Inc., developing software and hardware applications using Texas Instruments processors, implementing new DSP functions, developing Real-Time Code Generator. From 2000 to 2002 he was a lead DSP Engineer at Signalogic, designing embedded hardware and software systems for different telecommunication and internet applications. In 2002 he joined Louisiana Tech University, College of Engineering and Science, Department of Electrical Engineering as an Assistant Professor. He is the recipient of a scholarship from Signalogic in 1996, ARRI Best Paper Award in 1997, Finalist for the Best Paper Award at IEEE International Conference on Control Applications in 1998, First prize at the IEEE Fort Worth Section Graduate Paper Contest in 1999, and ARRI Invention Award in 2000 for his patent. He was awarded the Entergy Corporation LP&L/NOPSI Endowed Professorship in Electrical Engineering in 2006.
He is the author/co-author of 2 book chapters, 35 journal and conference papers, the textbook Neuro-Fuzzy Control of Industrial Systems with Actuator Nonlinearities (SIAM press 2002), and the U.S. patent in intelligent actuators in 2003. He currently serves as an Associate Editor for IEEE Transactions on Neural Networks and an Associate Editor for IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics. He is a member of IEEE and Sigma Xi.
Research
Wireless sensor networks, sensor networks for chemical agents detection
Intelligent sensors and actuators, smart sensor networks
Adaptive control, neural networks and fuzzy logic in control systems
Fault detection in sensor networks and nonlinear systems
Students
Current Students Mentoring:
- Ph.D. students:
Azzam Moustapha Grain Zhang Dae-Yi Jung
- M.S. students:
Afzal Mohammad Trey Buchart - Undergraduate students:
Greg Caswell Thomas Goodwin
John BarronGraduated Students:
Ph.D. students: George Gao (Crossbow Technology Inc., CA)
M.S. students: Dipan Jethwa (Foster Wheeler Corporation, Houston, TX), Bharath Peddireddy, Fatima Zohra (TriQuint Semiconductor, Inc.), Ramana Sunkam, Chris Fontenot (U.S. Army Depot, TX), Haoyong Yu (Gateway), Zhou Wei (Iowa State University), Shravan Challa, Dharaninath Tavanati
Undergraduate students: Jeremy Hill (NASA), Stacy Haineault, Jody Glasscock
Latest Publications
Book:
F. L. Lewis, J. Campos, and R. R. Selmic,
Neuro-Fuzzy Control of Industrial Systems With Actuator Nonlinearities, SIAM Press, Philadelphia, PA, 2002.
(Book info and table of contents in PDF format)Book Chapters:
Adaptive Control of Systems with Nonsmooth Nonlinearities,
Editors Gang Tao and F. L. Lewis, Springer-Verlag, London, UK, 2001.
"Deadzone compensation in motion control systems using augmented multilayer neural networks."
(Abstract, PDF file)Soft Computing and Intelligent Systems: Theory and Applications,
Editors Naresh K. Sinha and Madan M. Gupta, Academic Press, London, UK, 2000.
"Neural network approximation of piecewise continuous functions: application to friction compensation."
(Download PDF file)Journal Papers:
- Wenzhi Gao and Rastko R. Selmic, “Neural network control of a class of nonlinear systems with saturation,” IEEE Transactions on Neural Networks, vol. 17, no. 1, pp. 147-156, Jan. 2006.
- R. R. Selmic, book review for Automatica, vol. 42, no. 3, March 2006: Adaptive Control Design and Analysis, by Gang Tao, John Wiley & Sons, Inc., Hoboken, New Jersey, 640pp., 2003, ISBN: 0-471-27452-6.
- R. R. Selmic, “Discussion on a multi-model approach to failure detection in uncertain sampled-data systems,” European Journal of Control, vol. 11, pp. 266-268, November 2005.
- A. I. Moustapha and R. R. Selmic, “Wireless sensor network modeling using modified recurrent neural networks: application to failure detection,” submitted to IEEE Transactions on Instrumentation and Measurement, October 2005.
W. Zhou, A. Khaliq, Y. Tang, H.-F. Ji, and R. R. Selmic, “Simulation and design of piezoelectric microcantilever chemical sensors,” Sensors and Actuators A, vol. 125, no. 1, pp. 69-75, October 2005.
Conference Papers:
- C. Easter, C. B. O’Neal, R. R. Selmic, “Design, modeling, and simulation of a piezo-articulating arm,” submitted to International Mechanical Engineering Congress and Exposition (IMECE 2006), Chicago, IL, November 5-10, 2006.
- A. I. Moustapha and R. R. Selmic, “Wireless sensor network modeling using modified recurrent neural networks: application to failure detection,” submitted to American Control Conference, Minneapolis, MN, June 2006.
- R. R. Selmic, M. M. Polycarpou, and T. Parisini, “Actuator fault detection in nonlinear uncertain systems using neural on-line approximation models,” submitted to American Control Conference, Minneapolis, MN, June 2006.
- W. Gao and R. R. Selmic, “Adaptive neural network output feedback control of nonlinear systems with actuator saturation,” Proc. 44th IEEE Conference on Decision and Control, pp. 5522-5527, Seville, Spain, December 2005.
- A. I. Moustapha, V. Chivukla, R. R. Selmic, and F. Ji, “Development of novel portable explosive detection systems,” Louisiana Materials and Emerging Technologies Conference, December 2005.
Patents
U.S. Patent No. 6,611,823: R. R. Selmic, F. L. Lewis, A. J. Calise, and M. B. McFarland, “Backlash Compensation Using Neural Network,” 2003.
Report of Invention: R. K. Sunkam, R. R. Selmic, and D. T. Haynie, “Low-cost, fast-risetime, nanosecond-long electromagnetic pulse generator,” Louisiana Tech University, 2003.
Report of Invention: C. B. O’Neal and R. R. Selmic, “Design, Actuation, and Control of a Piezo-MEMS Articulating Arm,” Louisiana Tech University, 2006.
Projects
Intelligent Failure Detection in Nonlinear Systems using Neural Networks
Intelligent Wireless Sensing and Actuation for Explosive Detection
Suboptimal Coverage Control Missions in Mobile Sensor Networks with Focus Areas
Smart Sensors, Intelligent Feedback Control of Smart Actuators
Personal
* The Entergy Corporation LP&L/NOPSI Endowed Professorship in Electrical Engineering #2 is made available through the State of Louisiana Board of Regents Support Fund