摘要
采用上逼近算法求解 H2 / l1 混合优化问题。首先将其转化为有限维的凸二次规划问题 ,并利用L emke互补转轴算法求解 ;然后逐次进行逼近。
The mixed H 2/l 1 optimal control is dealt with. Lower approximation solution is used to solve it. First, it is converted into finite dimension convex quadratic programming, and solved with Lemke complementary pivoting algorithm. Then the dimension is added until the solution convergents. At last an example is given to prove this algorithm.
出处
《控制与决策》
EI
CSCD
北大核心
2001年第2期250-253,共4页
Control and Decision
关键词
H2/l1混合优化问题
凸二次规划
H∞优化控制
鲁棒性
mixed H 2/l 1 optimal control
convex quadratic programming
Lemke complement pivoting algorithm
lower approximation solutions
