Decentralized and adaptive nonlinear tracking of large-scale systems via output feedback

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Abstract

This paper presents for the first time a solution to the problem of decentralized adaptive asymptotic tracking for a new class of large-scale systems using nonlinear output feedback. The proposed constructive approach does not require any matching conditions on the parametric uncertainties nor growth conditions of any kind on the subsystem and interacting output nonlinearities. Any decentralized system in the family may have an unknown, nonzero equilibrium point. Partially decentralized reduced-order filters are presented to recover the unmeasured states. The recursive, decentralized, output-feedback design procedure is illustrated in a practical example of two inverted pendulums on carts without velocity measurements. The effectiveness of the decentralized algorithm is supported by simulation results.

Original languageEnglish (US)
Pages (from-to)2122-2128
Number of pages7
JournalIEEE Transactions on Automatic Control
Volume45
Issue number11
DOIs
StatePublished - Nov 2000

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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