摘要
本文提出一种基于ARMAX模型的递推广义预测控制算法,仿真研究表明这种算法对于系统阶和时滞变化等未建模动态是稳健的,本算法计算量小于Clarkc的GPC算法,并适用于GPC控制律中矩阵奇异的情况。
A recursive generalized predictive control (RGPC) algorithm for ARMAX models to proposed. This algorithm nccxls leas computational effort than GPC(D. W. Clarke (1987)) and to also better than RGPSTC(Yuan,Z. Z. (1989)) because it can be used in the case of singular matrices which are contained in the GPC control law. The simulation study shows that the RGPC to robust.
出处
《控制理论与应用》
EI
CAS
CSCD
北大核心
1990年第3期102-107,共6页
Control Theory & Applications
基金
National Science Foundation of China
关键词
ARMAX模型
预测控制
自适应控制
adptive control
predictive control
self-tuning control
recursive aquarea estimate
