期刊文献+

代数Riccati方程数值解的一种牛顿迭代法

A Newton iteration method for numerical solution of algebraic Riccati equations
下载PDF
导出
摘要 代数Riccati方程在优化控制理论中具有十分重要的作用.结合了二次方程的牛顿迭代法与Lya-punov方程的自由参数轮转方向迭代法,提出了一种求代数Riccati方程数值解的一种新方法,并给出了算法的收敛性证明.最后,给出了具体的数值算例. Algebraic Riccati equations play a very important role in optimal control theory.In this paper,Newton iteration method for quadratic equations and parameter free alternating directions implicit method are combined,and a new method is proposed for numerical solution of algebraic Riccati equations.Then the convergence of this method is proved and the numerical experiment has been done.
出处 《贵州师范学院学报》 2011年第3期9-12,共4页 Journal of Guizhou Education University
基金 湖南省科技厅科技专项计划项目(2009FJ4060) 湖南省教育厅科研项目(09c442)
关键词 代数Ricatti方程 牛顿迭代 LYAPUNOV方程 轮转隐式方向(ADI) algebraic Riccati equation Newton iteration Lyapunov equation Alternating Direction Implicit(ADI)
  • 相关文献

参考文献18

  • 1J. E. Potter. Matrix quadratic solutions[J]. SIAM J. Appl. Math. , 1966,14(3) : 496 -501.
  • 2A. J. Laub. A Schur method for solving algebraic Riccati equations[J]. IEEE Trans. Automat. Control, 1979, 24(6) :913-921.
  • 3H. T. Banks and K. Ito. A Numerical Algorithm for Optimal Feedback Gains in High Dimensional Linear Quadratic RegulatorProblems [ J ]. SIAM J. Control. Optim. , 1991,29(3) :499 -515.
  • 4J. A. Burns and K. P. Hulsing. Numerical Methods for Approximating Functional Gains in LQR Boundary Control Problems [ J ]. Mathematical and Computer Modelling, 2001,33(1): 89-100.
  • 5D. Kleinman. On an herative Technique for Riccatl E-quation Computations [ J ]. IEEE Transactions on Automat. Control,1968, 13:114 - 115.
  • 6I. G. Rosen and C. Wang. A multilevel technique for the approximate solution of operator Lyapunov and alge- braic Riccati equations [ J ]. SIAM J, Numer. Anal., 1995,32(2) : 514 -541.
  • 7P. Benner and J. Saak. A Galerkin -Newton -ADI Method for Solving Large -Scale Algebraic Riccati Equations[J]. Preprint SPP1253 -090, DFG Priority Programme 1253 " Optimization with Partial Differential Equations", January 2010.
  • 8Kemin Zhou, John C. Doyle and Keith Glover. Robust and Optimal Control [ M ]. New Jersey: Prentice Hall, 2007.
  • 9R. H. Bartels and G. W. Stewart. Solution of the equation AX+XB=C[J]. Comm. ACM. , 1972, 15(9): 820 - 826.
  • 10S. J. Hammarling. Numerical solution of the stable. nonnegative definite Lyapunov equation[J]. IMA J. Numer. Anal. , 1982,2(3) :303 -323.

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