Coordinated decentralized adaptive output feedback control of interconnected systems

Naira Hovakimyan, Eugene Lavretsky, Bong Jun Yang, Anthony J. Calise

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish (US)
Pages (from-to)185-194
Number of pages10
JournalIEEE Transactions on Neural Networks
Issue number1
StatePublished - Jan 2005
Externally publishedYes


  • Adaptive output feedback
  • Coordinated decentralized control
  • Interconnected systems

ASJC Scopus subject areas

  • Software
  • Computer Science Applications
  • Computer Networks and Communications
  • Artificial Intelligence


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