概率鲁棒LQ优化设计

Translated title of the contribution: Optimal design of a probabilistic robust linear quadratic controller

Hong Yue, Weisun Jiang, Xingsheng Gu

Research output: Contribution to journalArticle

Abstract

In the probabilistic description framework for linear multivariable systems with parameter perturbations, we propose a new robust LQ optimization method. Through the different parameters of the system perturbed state probability weighted composite index quadratic optimization, to achieve an integrated design of the entire parameter domain. Simulation results show that, compared with conventional methods and Minimax of nominal method, which can better compromise between robust stability and robust performance.
Original languageChinese
Pages (from-to)31-36
Number of pages6
JournalControl and Decision
Publication statusPublished - Jan 1997

Keywords

  • robust optimization
  • design probability
  • LQ
  • parameter perturbations
  • linear multivariable systems
  • LQ optimization method
  • tradeoff
  • LQ optimization
  • robust control
  • soft border
  • probability-weighted performance

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  • Cite this

    Yue, H., Jiang, W., & Gu, X. (1997). 概率鲁棒LQ优化设计. Control and Decision, 31-36.