Time delay sensitivity analysis in a Wireless Network Control System using LMI approach

A Wireless Network Control System (WNCS) with time delay and possibility of packet dropouts is considered. As we know packet dropouts and time delays are much more of concern in wireless data networks compared to wired networks. Because of this importance the sensitivity of the designed controller for the discussed WNCS is studied when various time delay profiles are present in the networked control system. The results are then compared and a conclusion is stated.

[1]  Ji Zhi-cheng Adaptive energy scheduling and cooperative control for wireless networked control system , 2011 .

[2]  Tao Sun,et al.  Modeling and stabilization of a wireless network control system with packet loss and time delay , 2012, J. Frankl. Inst..

[3]  Wencai Du,et al.  A Novel Smith Predictor for Wireless Networked Control Systems with Uncertainty , 2009, 2009 International Conference on Environmental Science and Information Application Technology.

[4]  Chien-Liang Lai,et al.  Design of the multiple-rate robust controller for wireless networked control systems , 2008, 2008 International Conference on Control, Automation and Systems.

[5]  Xiang-Yang Li,et al.  Fault tolerant deployment and topology control in wireless ad hoc networks , 2004, Wirel. Commun. Mob. Comput..

[6]  Iwao Sasase,et al.  A new partition scheduling algorithm by prioritizing the transmission of multicast packets with less destination address overlap in WDM single-hop networks , 2001, GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270).

[7]  Wencai Du,et al.  FRBF neural network and new Smith predictor for wireless networked control systems , 2009, 2009 Chinese Control and Decision Conference.

[8]  Wencai Du,et al.  Nonlinear control for wireless networked control systems based on novel smith predictor , 2010, 2010 5th IEEE Conference on Industrial Electronics and Applications.

[9]  Changchun Hua,et al.  Modeling and control for wireless networked control system , 2011, Int. J. Autom. Comput..