【摘要】 研究了基于多模糊模型的非线性预测控制问题 ,提出了基于多模型融合的非线性预测控制方法 .首先根据实际对象在不同运行点附近的状态建立了非线性系统的线性多模糊模型表示 ,然后给出了基于多模糊模型的预测控制原理结构框图 .非线性多模糊模型被用来作为预测模型 ,CSTR过程的仿真研究表明是一种有前景的非线性预测控制方法 .更多还原

【Abstract】 The nonlinear predictive control method has been presented based on multiple model blend. A multiple fuzzy model structure for model predictive control has been established for a nonlinear system, and its parameters have been estimated from data generated by a rigorous model. The nonlinear multiple fuzzy model has been used for prediction in a MPC scheme. Realistic simulation for CSTR shows that multiple fuzzy model MPC (MFMPC) is an attractive option for nonlinear MPC since the scheme implies a straightforward extension of linear MPC, and the result is promising.更多还原