摘要
模仿人的决策思路,对多模型对象提出一种新的自适应控制算法。在建立起对象的有限个模型并离线设计好对应的控制器后,算法通过在线计算模型匹配程度和控制权重来适应对象模型参数的突变。仿真结果表明该算法简单有效,跟踪迅速,鲁棒性强。
This paper presents an algorithm for adaptive control of multi-model systems by imitating men' s decision-making process. The algorithm adapts itself to the sudden changes of model parameters by calculating match-degree and control - weight for each model on-line based on the models and controllers designed off - line. Simulation results show that the algorithm is simple and effective, and has good performance of tracking ability and robustness.
出处
《控制与决策》
EI
CSCD
北大核心
1996年第1期77-80,共4页
Control and Decision
关键词
自适应控制
模型匹配
鲁棒性
multi -model system, adaptive control, model matching