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The linear-quadratic optimal regulator for continuous-time descriptor systems: a dynamic programming approach

 

作者: HUA XU,   KOICHI MIZUKAMI,  

 

期刊: International Journal of Systems Science  (Taylor Available online 1994)
卷期: Volume 25, issue 11  

页码: 1889-1898

 

ISSN:0020-7721

 

年代: 1994

 

DOI:10.1080/00207729408949319

 

出版商: Taylor & Francis Group

 

数据来源: Taylor

 

摘要:

In this paper we consider the linear-quadratic optimal regulator problem for continuous-time descriptor system by the dynamic programming approach. A generalized Riccati equation is derived by making use of the Hamilton-Jacobi equation for the descriptor system. Sufficient conditions for the existence of a solution of the generalized Riccati differential (algebraic) equation are studied. It is shown that the existence of the solution of the generalized Riccati differential (algebraic) equation depends on the solutions of a standard Riccati algebraic equation and a standard Riccati differential (algebraic) equation. As in the regular state-space system, the solution of the generalized Riccati equation is used in the construction of the optimal feedback gains.

 

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