(Georgia Institute of Technology, 2004-06)
Hovakimyan, Naira; Lavretsky, Eugene; Yang, Bong-Jun; Calise, Anthony J.
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. 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.