Applied Mathematics and Mechanics (English Edition) ›› 2009, Vol. 30 ›› Issue (4): 475-488.doi: https://doi.org/10.1007/s10483-009-0408-y

• Articles • 上一篇    下一篇

Analysis and  control of a class of uncertain linear periodic discrete-time systems

孙凯1 谢广明1,2   

    1. LTCS and Center for Systems and Control, College of Engineering, Peking University,Beijing 100871, P. R. China;
    2. School of Electrical and Electronics Engineering,East China Jiaotong University,Nanchang 330013, P. R. China
  • 收稿日期:2008-06-05 修回日期:2009-02-10 出版日期:2009-04-16 发布日期:2009-04-16

Analysis and  control of a class of uncertain linear periodic discrete-time systems

 Kai SUN1, Guang-Ming XIE1,2   

    1. LTCS and Center for Systems and Control, College of Engineering, Peking University,Beijing 100871, P. R. China;
    2. School of Electrical and Electronics Engineering,East China Jiaotong University,Nanchang 330013, P. R. China
  • Received:2008-06-05 Revised:2009-02-10 Online:2009-04-16 Published:2009-04-16

摘要: Feedback control problems for linear periodic systems (LPSs) with interval-type parameter uncertainties are studied in the discrete-time domain. First, the stability analysis and stabilization problems are addressed. Conditions based on the linear matrices inequality (LMI) for the asymptotical stability and state feedback stabilization, respectively, are given. Problems of $\mathcal{L}_2$-gain analysis and control synthesis  are studied. For the $\mathcal{L}_2$-gain analysis problem, we obtain an LMI-based condition such that the autonomous uncertain LPS is asymptotically stable and has an $\mathcal{L}_2$-gain smaller than a positive scalar $\gamma$. For the control synthesis problem, we derive an LMI-based condition to build a state feedback controller ensuring that the closed-loop system is asymptotically stable and has an $\mathcal{L}_2$-gain smaller than the positive scalar $\gamma$. All the conditions are necessary and sufficient.

Abstract: Feedback control problems for linear periodic systems (LPSs) with interval-type parameter uncertainties are studied in the discrete-time domain. First, the stability analysis and stabilization problems are addressed. Conditions based on the linear matrices inequality (LMI) for the asymptotical stability and state feedback stabilization, respectively, are given. Problems of $\mathcal{L}_2$-gain analysis and control synthesis  are studied. For the $\mathcal{L}_2$-gain analysis problem, we obtain an LMI-based condition such that the autonomous uncertain LPS is asymptotically stable and has an $\mathcal{L}_2$-gain smaller than a positive scalar $\gamma$. For the control synthesis problem, we derive an LMI-based condition to build a state feedback controller ensuring that the closed-loop system is asymptotically stable and has an $\mathcal{L}_2$-gain smaller than the positive scalar $\gamma$. All the conditions are necessary and sufficient.

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