首页    期刊浏览 2025年06月14日 星期六
登录注册

文章基本信息

  • 标题:Cascade High Gain Observers Based State and Unknown Input Reconstruction
  • 本地全文:下载
  • 作者:S. Hadj Saïd ; M. Farza ; F. M’Sahli
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2017
  • 卷号:50
  • 期号:1
  • 页码:1445-1450
  • DOI:10.1016/j.ifacol.2017.08.288
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractThis paper presents a systematic routine for jointly reconstruct the state variables and the unknown inputs for a large class of nonlinear MIMO systems. After an appropriate change of state coordinates, a set of cascade high gain observers are designed in such a way that each of them provides an estimation of only one component of the unknown input vector, except the last one which gives a final adjustment of the whole state variables. Such design achieves a boundary of the state estimation error which can be arbitrarily small by properly specifying the sole synthesis parameter. An illustrative example verifies the effectiveness of the proposed scheme.
  • 关键词:KeywordsState EstimationRobust EstimationNonlinear SystemsCascade ObserversUnknown Inputs Estimation
国家哲学社会科学文献中心版权所有