摘要
从非线性模型预测控制的预测模型建模和最优化问题求解两方面入手,介绍了近年来基于智能模型和智能优化算法的非线性系统预测控制方法,并对各种算法的特征进行了总结评述,指出了智能非线性预测控制方法存在的问题和未来的发展方向。
Nonlinear model predictive control based on intelligent models and optimization algorithms were introduced in respects to modeling predictive model and solving optimization problem of nonlinear system. Some representative intelligent algorithms of nonlinear model predictive control proposed in recent years were analyzed both in respects of advantages and disadvantages. The existing problems and research directions of nonlinear model predictive control based on intelligent methods were indicated at last.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2008年第24期6581-6586,共6页
Journal of System Simulation
关键词
模型预测控制
非线性模型预测控制
智能模型
智能优化
model predictive control
nonlinear model predictive control
intelligent model
intelligent optimization