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Efficient active set optimization in triple mode MPC

被引：18
作者：
Cannon, M
Kouvaritakis, B
Rossiter, JA
机构：
[1] Univ Oxford, Dept Engn Sci, Oxford OX1 3PJ, England
[2] Univ Sheffield, Dept Automat Control & Syst Engn, Sheffield S1 3JD, S Yorkshire, England
来源：
IEEE TRANSACTIONS ON AUTOMATIC CONTROL | 2001年 / 46卷 / 08期
关键词：
constrained control; optimization; predictive control; quadratic programming;
D O I：
10.1109/9.940940
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An active set algorithm tailored to quadratically constrained quadratic programming in model predictive control (MPC) is presented. It enables efficient use of augmented ellipsoidal invariant sets in conjunction with polytopic constraints in triple mode MPC. The algorithm gives improved optimality and larger stabilizable initial condition sets than conventional quadratic programming MPC algorithms of comparable online computational burden.
引用
收藏
页码：1307 / 1312
页数：6
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