Decentralized Adaptive Optimal Control of Large-Scale Systems with Application to Power Systems

Tao Bian, Yu Jiang, Zhong-Ping Jiang

Research output: Contribution to journalArticle

Abstract

This paper studies the optimal control problem for large-scale systems with unknown parameters and dynamics. By using robust adaptive dynamic programming (RADP) method, a decentralized optimal control design is given for large-scale systems with unmatched uncertainties. The convergence of the proposed RADP algorithm and the asymptotic stability of the closed-loop large-scale system are studied rigorously. Finally, a numerical example of a large-scale power system is adopted to illustrate the effectiveness of the obtained algorithm.

Original languageEnglish (US)
Article number7055987
Pages (from-to)2439-2447
Number of pages9
JournalIEEE Transactions on Industrial Electronics
Volume62
Issue number4
DOIs
StatePublished - 2015

Fingerprint

Large scale systems
Dynamic programming
Asymptotic stability
Uncertainty

Keywords

  • Adaptive dynamic programming (ADP)
  • adaptive optimal control
  • power systems

ASJC Scopus subject areas

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

Cite this

Decentralized Adaptive Optimal Control of Large-Scale Systems with Application to Power Systems. / Bian, Tao; Jiang, Yu; Jiang, Zhong-Ping.

In: IEEE Transactions on Industrial Electronics, Vol. 62, No. 4, 7055987, 2015, p. 2439-2447.

Research output: Contribution to journalArticle

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