On an iterative algorithm to compute the positive stabilizing solution of generalized algebraic Riccati equations
An iterative algorithm to solve a kind of generalized algebraic Riccati equations (GARE) in LQ stochastic zero-sum game problems is proposed. In our algorithm, we replace the problem of solving a GARE with an indefinite quadratic term by the problem of solving a sequence of GARE with a negative semidefinite quadratic term which can be solved by existing methods. Under some appropriate conditions, we prove that our algorithm is globally convergent.
GARE Iterative Stochastic
Yantao Feng Brian D. O. Anderson
The authors are with Research School of Information Sciences and Engineering, the Australian National University, Canberra ACT 0200, Australia. The authors are also with National ICT Australia Ltd.
国际会议
2009年中国控制与决策会议(2009 Chinese Control and Decision Conference)
广西桂林
英文
3530-3534
2009-06-17(万方平台首次上网日期,不代表论文的发表时间)