Decentralized adaptive output feedback control via input/output inversion

Naira Hovakimyan, Eugene Lavretsky, Anthony Calise, Ramachandra Sattigeri

Research output: Contribution to journalArticlepeer-review


A decentralized adaptive output feedback control design method is presented for control of large-scale interconnected systems. It is assumed that all the controllers share prior information about the subsystem reference models. Based on that information, a linear dynamic output feedback compensator and linearly parameterized neural network (NN) are introduced for each subsystem to partially cancel the effect of the interconnections on the tracking performance. Boundedness of error signals is shown through Lyapunov's direct method.

Original languageEnglish (US)
Pages (from-to)1538-1551
Number of pages14
JournalInternational Journal of Control
Issue number12
StatePublished - Dec 1 2006
Externally publishedYes

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications


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