Stability of Constrained Model Predictive Control for Networked Control Systems with Data Packet Dropout
A constrained Model Predictive Control (MPC) strategy for networked control systems with data packet dropout is proposed in this paper. A buffer is designed to store the predicted control sequence between controller and actuator. If data packet dropout doesn’t happen, new control sequence will be obtained by MPC to substitute old control sequence in buffer and the first control action will be enforced to the actuator, or the control action in old control sequence corresponding to current sample time will be applied. It is also shown that if the control horizon of MPC is not less than maximal continuous data packet dropout number, feasibility of MPC at initial time implies asymptotical stability of the closed loop system. A simulation example illustrates the effectiveness of the proposed approach.
Networked control system model predictive control stability
Zhijun Li Lifeng Wang Xihuang Lai Shaohui Xu
The Key Laboratory of Beijing for Field-bus Technology & Automation North China University of Technology Beijing, China
国际会议
2007 IEEE International Conference on Automation and Lofistics
山东济南
英文
2007-08-18(万方平台首次上网日期,不代表论文的发表时间)