K-means Based Delay Quantization and Prediction in Networked Control Systems

摘要：

In the networked control system (NCS) with the discrete-time hidden Markov model (DTHMM), K-means clustering is proposed in this paper to quantize the controller-to-actuator (C-A) delays and to obtain the discrete observations for estimating the DTHMM parameters. The prediction of the current stochastic C-A delay is achieved based on the quantizing method and the estimated DTHMM. Then, by taking the current predicted C-A delay into account, a state-feedback controller is designed to directly compensate for the effect of the current real C-A delay on the NCS. The detailed procedure of the K-means clustering used to quantize the past C-A delays is given. The contrastive simulation experiments are implemented, and the results demonstrate the superiority of the quantizing and predictive methods proposed in this paper.

关键词： Networked control system discrete-time hidden Markov model K-means clustering delay quantization delay prediction

作者: Yuan Ge Shuang Cong Weiwei Shang

作者单位: Department of Automation, University of Science and Technology of China, Hefei, 230027, P. R. China

会议类型: 国际会议

会议名称: The 31st Chinese Control Conference(第三十一届中国控制会议)

会议地点: 合肥

会议语种:英文

页码: 5921-5926

在线出版日期: 2012-07-01（万方平台首次上网日期，不代表论文的发表时间）