大连理工大学学报2016，Vol.56Issue(2)：202-207,6.DOI:10.7511/dllgxb201602014
城市路网的鲁棒预测控制
Robust predictive control for urban road network
摘要
Abstract
For urban road network system with model uncertainty,a robust predictive state feedback controller is designed to ensure the closed-loop system asymptotically stable.Firstly,the store-and-forward segment linear model is extended to the urban road network topology model.Considering the influence of saturation flow rate and vehicle number uncertainty caused by the road conditions change and the error of measurement,the urban road network system model with parameters uncertainty is proposed.Furthermore,a convex optimization problem with constraints is solved by linear matrix inequality (LMI)treatment to design the state feedback controller.Finally,the effectiveness of the proposed method to alleviate the urban traffic congestion and optimize the signal lights is demonstrated by Matlab simulation.关键词
鲁棒预测控制/城市路网系统/参数不确定/线性矩阵不等式Key words
robust predictive control/urban road network system/parameter uncertainty/linear matrix inequality (LMI)分类
信息技术与安全科学引用本文复制引用
刘安东,李佳,俞立..城市路网的鲁棒预测控制[J].大连理工大学学报,2016,56(2):202-207,6.基金项目
国家自然科学基金资助项目(61273117,61403344) （61273117,61403344）
