Title :
NSF CAREER: Scalable learning and adaptation with intelligent techniques and neural networks for reconfiguration and survivability of complex systems
Author :
Venayagamoorthy, Ganesh K.
Author_Institution :
Dept. of Electr. & Comput. Eng., Missouri Univ. of Sci. & Technol., Rolla, MO
Abstract :
The NSF CAREER program is a premier program that emphasizes the importance the foundation places on the early development of academic careers solely dedicated to stimulating the discovery process in which the excitement of research enriched by inspired teaching and enthusiastic learning. This paper describes the research and education experiences gained by the principal investigator and his research collaborators and students as a result of a NSF CAREER proposal been awarded by the power, control and adaptive networks (PCAN) program of the electrical, communications and cyber systems division, effective June 1, 2004. In addition, suggestions on writing a winning NSF CAREER proposal are presented.
Keywords :
adaptive control; neural nets; nonlinear control systems; power system stability; adaptive control; complex systems; computational intelligence; intelligent techniques; neural networks; nonlinear control; power systems stability; wide area control; Adaptive systems; Collaboration; Communication system control; Control systems; Education; Educational programs; Engineering profession; Intelligent networks; Neural networks; Proposals; FACTS; adaptive control; adaptive critic designs; computational intelligence; evolvable hardware; nonlinear control; power systems stability; wide area control;
Conference_Titel :
Power and Energy Society General Meeting - Conversion and Delivery of Electrical Energy in the 21st Century, 2008 IEEE
Conference_Location :
Pittsburgh, PA
Print_ISBN :
978-1-4244-1905-0
Electronic_ISBN :
1932-5517
DOI :
10.1109/PES.2008.4596679
