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文章基本信息

  • 标题:An infinite horizon predictive control algorithm based on multivariable input-output models
  • 作者:Maciej Ławryńczuk ; Piotr Tatjewski
  • 期刊名称:International Journal of Applied Mathematics and Computer Science
  • 电子版ISSN:2083-8492
  • 出版年度:2004
  • 卷号:14
  • 期号:2
  • 出版社:De Gruyter Open
  • 摘要:In this paper an infinite horizon predictive control algorithm, for which closed loop stability is guaranteed, is developed in the framework of multivariable linear input-output models. The original infinite dimensional optimisation problem is transformed into a finite dimensional one with a penalty term. In the unconstrained case the stabilising control law, using a numerically reliable SVD decomposition, is derived as an analytical formula, calculated off-line. Considering constraints needs solving on-line a quadratic programming problem. Additionally, it is shown how free and forced responses can be calculated without the necessity of solving a matrix Diophantine equation
  • 关键词:model predictive control; stability; infinite horizon; singular-value decomposition; quadratic programming
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