Robust adaptive dynamic programming for large-scale systems with an application to multimachine power systems

Research output: Contribution to journalArticle


This brief presents a new approach to decentralized control design of complex systems with unknown parameters and dynamic uncertainties. A key strategy is to use the theory of robust adaptive dynamic programming and the policy iteration technique. An iterative control algorithm is given to devise a decentralized optimal controller that globally asymptotically stabilizes the system in question. Stability analysis is accomplished by means of the small-gain theorem. The effectiveness of the proposed computational control algorithm is demonstrated via the online learning control of multimachine power systems with governor controllers.

Original languageEnglish (US)
Article number6297448
Pages (from-to)693-697
Number of pages5
JournalIEEE Transactions on Circuits and Systems II: Express Briefs
Issue number10
StatePublished - Sep 12 2012



  • Adaptive dynamic programming (ADP)
  • decentralized control
  • multimachine power systems
  • small-gain

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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