一类多变量广义预测控制算法及仿真研究

基于灰色系统GM(1，h)模型，构造了新的多变量广义预测控制算法。该算法所需估计的参数较少，参数估计中需用数据也少，且在多步情况下无需求解Diophantine方程，从而使总的计算量明显减少。仿真实验表明，该算法对相当广泛的被控对象均能获得良好的控制效果，不仅提高了实时性，而且鲁棒性也很强。

Study of generalized predictive control algorithm and simulation with the MIMO

Based on the grey system GM(1,h) model, a novel multi-parameter prediction control algorithm is proposed. The algorithm requires fewer parameters needed to be evaluated and small data in parameters evaluation. Diophantine equation doesn't need to be solved on multi-step prediction. The overall computation work is reduced apparently. The simulation test demonstrates that the good control can be reached for many control plants and the algorithm improves both the real-time and robust performance.