Suboptimality bounds for linear quadratic problems in hybrid linear systems

被引：0
|
作者：
Kouhi, Yashar [1 ]
Bajcinca, Naim [1 ]
Sanfelice, Ricardo G. [2 ]
机构：
[1] Tech Univ Berlin, Control Syst Grp, Einsteinufer 17,Sekr EN 11, D-10587 Berlin, Germany
[2] Univ Arizona, Dept Aerosp & Mech Engn, Tucson, AZ 85721 USA
来源：
2013 EUROPEAN CONTROL CONFERENCE (ECC) | 2013年
基金：
美国国家科学基金会;
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
A method for computation of lower and upper bounds for the linear quadratic cost function associated to a class of hybrid linear systems is proposed. The optimization problem involves state space constraints and switches between the continuous and discrete dynamics at fixed time instances on the boundaries of the flow and jump sets. Our approach computes a quadratic suboptimal cost parameterized by initial and end state variables of all time intervals. Then, the unknown parameters are determined via solving constrained quadratic programming problems.
引用
收藏
页码：2663 / 2668
页数：6
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