Quantized and Networked Predictive Control for Input-Saturated Systems
This paper investigates the problem of stabilizing predictive control for constrained systems with quantization and communication delays.Based on the quantization matrix,the input-saturated control systems with logarithmic quantizers are described as constrained control systems with structured norm-bounded uncertainties.A quantized and networked predictive control algorithm is presented by using a multirate delay compensation strategy.It is shown that the proposed predictive controller not only ef ciently reduces the negative effects of the quantization and communication delays but also guarantees the closed-loop stability and constraints satisfaction.The simulation example shows the effectiveness of the derived method.
ZOU Yuanyuan CHEN Bei JIA Tinggang NIU Yugang
Key Laboratory of Advanced Control and Optimization for Chemical Processes,Ministry of Education,Eas Key Laboratory of Advanced Control and Optimization for Chemical Processes,Ministry of Education,Eas
国际会议
The 30th Chinese Control Conference(第三十届中国控制会议)
烟台
英文
1-6
2011-07-01（万方平台首次上网日期，不代表论文的发表时间）