【摘要】 在简述基于Ｌａｇｕｅｒｅ函数近似模型的自适应预测控制原理、算法及其特点的基础上，将现有的多步预测、单步优化的控制算法扩展为多步预测、多步优化的控制算法，并与传统的广义预测控制（ＧＰＣ）作了比较研究，结果表明基于Ｌａｇｕｅｒｅ函数模型的预测控制方法对变时延、变阶次被控对象的控制鲁棒性明显优于广义预测控制更多还原

【Abstract】 This paper presents an adaptive predictive control algorithm based on a Laguerre function approximate model of the controlled system. A multi step prediction and control algorithm is developed on the basis of extant multi step prediction, single step control algorithm. A comparison between this new algorithm and the generalized predictive control algorithm (GPC) is made and it is verified by the simulations that the control algorithm based on the Laguerre model can make a system more robust when there are changes in the order or the delay of the system.更多还原