Applied Mathematics and Mechanics (English Edition) ›› 2000, Vol. 21 ›› Issue (12): 1407-1416.

• 论文 • 上一篇    下一篇

VARIATIONAL METHOD AND COMPUTATION FOR H CONTROL

钟万勰   

  1. State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, Dalian 116023, P. R. China
  • 收稿日期:2000-02-02 出版日期:2000-12-18 发布日期:2000-12-18
  • 基金资助:

    the National Basic Research Program Foundation of China(G1999032805)

VARIATIONAL METHOD AND COMPUTATION FOR H CONTROL

ZHONG Wan-xie   

  1. State Key Laboratory of Structural Analysis for Industrial Equipment, Dalian University of Technology, Dalian 116023, P. R. China
  • Received:2000-02-02 Online:2000-12-18 Published:2000-12-18
  • Supported by:

    the National Basic Research Program Foundation of China(G1999032805)

摘要: The variational approach is further applied to the measurement feedback H control problems. Based on the induced norm description of the system Γ,the variational functionals Jc. and Jp of state feedback H control for the future time interval (t,tf], and of H filter for the past time interval [0,t), respectively, are combined together to generate the variational functional of the measurement feedback for the whole time interval [0,tf]. The connection condition at the present time t is that the estimated state vector x(t) must be continuously extended to be the initial condition of the future state vector estimation. Another connection condition for the dual vector λ(t) can be naturally derived from the variational principle. The equations thus derived show that the third condition for the optimal parameter γcr-2 is again a bound of the smallest Rayleigh quotient. Therefore, the precise integration method developed formerly to determine the optimal parameter γcr-2 of H control and of H filter respectively can be further applied to the determination of the optimal parameter.

Abstract: The variational approach is further applied to the measurement feedback H control problems. Based on the induced norm description of the system Γ,the variational functionals Jc. and Jp of state feedback H control for the future time interval (t,tf], and of H filter for the past time interval [0,t), respectively, are combined together to generate the variational functional of the measurement feedback for the whole time interval [0,tf]. The connection condition at the present time t is that the estimated state vector x(t) must be continuously extended to be the initial condition of the future state vector estimation. Another connection condition for the dual vector λ(t) can be naturally derived from the variational principle. The equations thus derived show that the third condition for the optimal parameter γcr-2 is again a bound of the smallest Rayleigh quotient. Therefore, the precise integration method developed formerly to determine the optimal parameter γcr-2 of H control and of H filter respectively can be further applied to the determination of the optimal parameter.

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