Transmission Data Compression of Remote Networked Control Systems via Model Reduction Method
This paper proposes a new approach to reduce the data transmitted in networked control systems (NCSs) via model reduction method. Based on the controllability and observability of the remote controlled plant, the unimportant information of system states vector is truncated by balanced truncation method (BTM) before sending to the controller via network. The exponential stability condition of the truncated NCSs is derived via linear matrix inequality (LMI) forms. This method of data truncation can usually reduce the time delay and further improve the performance of the NCSs. Furthermore; the optimization of NCSs is discussed by utilizing this fact. The simulation validates the correctness of the results.
Networked Control Systems Data Compression Model Reduction Balanced Truncation
Libin Bai Sheng-Guo Wang
Dept. of Software and Information Systems. University of North Carolina at Charlotte, NC, U.S.A Dept. of Engineering Technology and Dept. of Software and Information Systems (Graduate Faculty), Un
国际会议
长沙
英文
247-252
2014-05-31（万方平台首次上网日期，不代表论文的发表时间）