@article{9450828943fc4ba480deccdc687718d9,
title = "Coordinated decentralized adaptive output feedback control of interconnected systems",
abstract = "A decentralized adaptive output feedback control design is proposed for large-scale interconnected systems. It is assumed that all the controllers share prior information about the system reference models. Based on that information, a linearly parameterized neural network is introduced for each subsystem to partially cancel the effect of the interconnections on tracking performance. Boundedness of error signals is shown through Lyapunov's direct method.",
keywords = "Adaptive output feedback, Coordinated decentralized control, Interconnected systems",
author = "Naira Hovakimyan and Eugene Lavretsky and Yang, {Bong Jun} and Calise, {Anthony J.}",
note = "Funding Information: Manuscript received March 20, 2003; revised April 15, 2004. This material is based upon work supported by the Unite States Air Force Office of Scientific Research under Grants F49620-03-1-0443, FA9550-04-C-0047, and F4960-01-1-0024. N. Hovakimyan is with the Virginia Polytechnic Institute and State University, Blacksburg, VA 24061 USA (e-mail: nhovakim@vt.edu). E. Lavretsky is with The Boeing Company—Phantom Works, Huntington Beach, CA 92647 USA (e-mail: eugene.lavretsky@boeing.com). B.-J. Yang and A. J. Calise are with the School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA 30332 USA. Digital Object Identifier 10.1109/TNN.2004.836198",
year = "2005",
month = jan,
doi = "10.1109/TNN.2004.836198",
language = "English (US)",
volume = "16",
pages = "185--194",
journal = "IEEE Transactions on Neural Networks",
issn = "1045-9227",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "1",
}