【摘要】 Cao和Ress 提出的模糊模型(称为C-R模糊模型)由模糊推理和局部线性解析模型两部分组成,用隶属函数加权局部模型构成系统的全局非线性模型。本文提出了一种新的结构上与阶跃模型相类似的C-R模糊阶跃模型,并用DMC动态矩阵控制算法,求解基于该模型的非线性预测控制问题, 得出了预测控制算法的解析形式,该方法克服了一般非线性预测控制算法求解困难的缺陷。更多还原

【Abstract】 The fuzzy model presented by Cao and Ress is composed of fuzzy inference and local analytical model, and the global nonlinear model is the weighted sum of the local models with the respective membership functions. In the paper, a novel C-R fuzzy step model is given, its structure is similar to step response model. The analytical algorithm of a nonlinear predictive control is obtained through solving the problem of nonlinear predictive control based on the given model by means of dynamic matrix control (DMC) algorithm. The method can be used to solve the problem of a general nonlinear predictive control easily.更多还原