期刊文献+

A New Approach to Robust Stability Analysis of Sampled-data Control Systems 被引量:6

A New Approach to Robust Stability Analysis of Sampled-data Control Systems
下载PDF
导出
摘要 The lifting technique is now the most popular tool for dealing with sampled-data controlsystems. However, for the robust stability problem the system norm is not preserved by the liftingas expected. And the result is generally conservative under the small gain condition. The reason forthe norm di?erence by the lifting is that the state transition operator in the lifted system is zero inthis case. A new approach to the robust stability analysis is proposed. It is to use an equivalentdiscrete-time uncertainty to replace the continuous-time uncertainty. Then the general discretizedmethod can be used for the robust stability problem, and it is not conservative. Examples are givenin the paper. The lifting technique is now the most popular tool for dealing with sampled-data controlsystems. However, for the robust stability problem the system norm is not preserved by the liftingas expected. And the result is generally conservative under the small gain condition. The reason forthe norm di?erence by the lifting is that the state transition operator in the lifted system is zero inthis case. A new approach to the robust stability analysis is proposed. It is to use an equivalentdiscrete-time uncertainty to replace the continuous-time uncertainty. Then the general discretizedmethod can be used for the robust stability problem, and it is not conservative. Examples are givenin the paper.
出处 《自动化学报》 EI CSCD 北大核心 2005年第4期510-515,共6页 Acta Automatica Sinica
基金 SupportedbytheHarbinInstituteofTechnologyFundfortheKeySubjects(54100179)
关键词 采样数据系统 稳定性 获得理论 自动控制 Sampled-data system, lifting technique, robust stability, small gain theorem
  • 相关文献

参考文献7

  • 1Bamieh B A, Pearson, Jr J B. A general framework for linear periodic systems with applications to H∞sampled-data control. IEEE Transactions on Automatic Control, 1992, 37(4): 418~435
  • 2Randal W. Beard. Linear operator equations with applications in control and signal processing. IEEE Transactions on Control Systems Magazine, 2002, 22(2): 69~79
  • 3Mirkin L, Tadmor G. Yet another H∞ discretization. IEEE Transactions on Automatic Control, 2003, 48(5):891~894
  • 4Chen Tongwen, Francis B A. H∞-optimal sampled-data control: Computation and design. Automatica, 1996,32(2): 223~228
  • 5Doyle J C, Francis B A, Tannenbaum A R. Feedback Control Theory. New York: Macmillan, 1992. Chapter 4
  • 6Packard A, Doyle J. The complex structured singular value. Automatica, 1993, 29(1): 71~109
  • 7Ackermann J. Sampled-data Control Systems, Berlin: Springer-Verlag, 1985

同被引文献17

引证文献6

二级引证文献17

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部