Transmission data compression of remote networked control systems via model reduction method

Abstract

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.