自动化学报2003，Vol.29Issue(4)：516-523,8.
MIMO系统的多模型预测控制
Multiple Model Predictive Control for MIMO Systems
摘要
Abstract
A multi-model-based predictive control (MMPC) strategy dealing with nonlinear model-based predictive control (NMPC) for MIMO systems is developed in this paper. Firstly a multi-model identification method is given. Using fuzzy satisfactory clustering algorithm presented in this paper, the complex nonlinear system can be quickly divided into multiple fuzzy parts. A global model can be obtained by some transformation of the obtained multiple linear models. An MMPC algorithm is therefore designed for the global MIMO systems with system performance analysis. Taking a pH neutralization control system as simulation example, the simulation results verify the effectiveness of MMPC on complex nonlinear systems.关键词
MIMO系统/多模型/模型预测控制(MPC)/模糊满意聚类/pH中和过程Key words
MIMO systems/multi-model/model-based predictive control (MPC)/fuzzy satisfactory clustering/pH neutralization process分类
信息技术与安全科学引用本文复制引用
李柠,李少远,席裕庚..MIMO系统的多模型预测控制[J].自动化学报,2003,29(4):516-523,8.基金项目
Supported by National Natural Science Foundation of P.R.China(69934020 and 60074004) （69934020 and 60074004）
