A simple condition for decentralized adaptive identification of partially known interconnected systems

Wen June Wang, Jia Ling Lee

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

When centralized information of the total state is not permitted in a large-scale interconnected system with known and arbitrary interconnection pattern, a simple condition for constructing a stable and local adaptive identification model is derived such that the decentralized adaptive identification can be developed. In the proposed identification scheme, the state error between the system to be identified and its corresponding identification model converges to zero for any bounded inputs. Furthermore, the identification model with prescribed persistently exciting inputs for any interconnection pattern ensures that the parameter error converges to zero. Finally, an example is illustrated to show the validity of the proposed scheme.

Original languageEnglish
Pages (from-to)19-25
Number of pages7
JournalSystems and Control Letters
Volume20
Issue number1
DOIs
StatePublished - Jan 1993

Keywords

  • Adaptive identification model
  • interconnection pattern
  • Lyapunov function
  • persistently exciting inputs

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