控制理论与应用2016，Vol.33Issue(9)：1139-1146,8.DOI:10.7641/CTA.2016.50964
事件触发双模分布式预测控制
Event-triggered dual-mode distributed model predictive control
摘要
Abstract
This paper proposes an event-triggered dual-mode distributed model predictive control method for large-scale linear discrete-time systems subject to bounded disturbances. The event-triggering condition, which involves information of the subsystem itself, is obtained by the input-to-state stability (ISS) theory. Only when the event-triggering condition is satisfied, the state measurement is sent and the distributed model predictive control optimization problem is solved. Meanwhile, the subsystem exchanges its optimal state trajectories with neighbor subsystems. When the subsystem enters the invariant set, the state feedback control law will be applied. Moreover, no information will be exchanged between the subsystem and its neighbor subsystems which also enter the invariant sets. The upper bound of disturbances are derived by analyzing the recursive feasibility and closed-loop stability. Finally, the algorithm is verified through the vehicle control systems. Simulation results show that the presented method is able to reduce the solving frequency of optimization problems and the number of information transmissions, thus saving the computation resources and communication resources.关键词
大系统/分布式控制系统/模型预测控制/事件触发控制Key words
large-scale systems/distributed control systems/model predictive control/event-triggered control分类
信息技术与安全科学引用本文复制引用
苏旭,邹媛媛,牛玉刚,贾廷纲..事件触发双模分布式预测控制[J].控制理论与应用,2016,33(9):1139-1146,8.基金项目
国家自然科学基金项目(61673174,61374107),国家科技支撑计划(2015BAF10B00)资助 （61673174,61374107）
