Constrained Model Predictive Control of Networked Systems with Time-Invarying Input Delay
The problem of constrained infinite-horizon model predictive control for NCSs is studied in this paper. By using linear matrix inequality (LMI) approach, the non-PDC control law is designed for nonlinear system which is represented by Takagi- Sugeno (T-S) fuzzy model under consideration of effect of network-induced constant delay between controller and actuator. Based on parameter-dependent Lyapunov function, a new sufficient condition is derived for the existence of non-PDC fuzzy controller which can guarantee that the resulting closed-loop fuzzy system is asymptotically stable. In addition, input and output constraints of the fuzzy system are satisfied with the feedback controller. The numerical example is given to illustrate the efficiency of the theoretic results.
Networked control systems (NCSs) Time-Delay T-S fuzzy system Model predictive control (MPC) Linear matrix inequality (LMI)
DAI Li XIA Yuanqing FU Mengyin
School of Automation, Beijing Institute of Technology, Beijing 100081, P. R. China
国际会议
The 31st Chinese Control Conference(第三十一届中国控制会议)
合肥
英文
5867-5872
2012-07-01（万方平台首次上网日期，不代表论文的发表时间）