• DocumentCode
    1979189
  • Title

    Derivative derived generalised predictive control (DDGPC): a technique for improving performance

  • Author

    Gomma, H.W. ; Yu, H.

  • Author_Institution
    Dept. of Electron., Commun. & Comput. Eng., Helwan Univ.
  • fYear
    2005
  • fDate
    28-31 Aug. 2005
  • Firstpage
    1152
  • Lastpage
    1157
  • Abstract
    Following the appearance of generalized predictive control (GPC) most research attention has been lately directed to guarantee the stability of the closed loop systems. This has been accompanied with relatively less attention to derive new techniques in the spirits of GPC that concerns system performance. This paper presents a new predictive control technique that is able to provide a better performance in terms of system overshoot when compared with the conventional GPC. The idea of the new technique is based on minimizing the rate of change of the predicted output while following the future trajectory. In addition robustness analysis to structured and unstructured uncertainties has been investigated
  • Keywords
    closed loop systems; control system synthesis; modelling; predictive control; stability; closed loop systems; control system design; derivative derived generalised predictive control; robustness analysis; stability; structured uncertainty; unstructured uncertainty; Algorithm design and analysis; Computational complexity; Control systems; Cost function; Costing; Performance analysis; Polynomials; Predictive control; Predictive models; System performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Applications, 2005. CCA 2005. Proceedings of 2005 IEEE Conference on
  • Conference_Location
    Toronto, Ont.
  • Print_ISBN
    0-7803-9354-6
  • Type

    conf

  • DOI
    10.1109/CCA.2005.1507286
  • Filename
    1507286