Journal of Systems Engineering and Electronics ›› 2012, Vol. 23 ›› Issue (1): 129-136.doi: 10.1109/JSEE.2012.00016

• CONTROL THEORY AND APPLICATION • Previous Articles     Next Articles

Fault detection for nonlinear networked control systems based on fuzzy observer

Zhangqing Zhu* and Xiaocheng Jiao   

  1. Department of Control and Systems Engineering, Nanjing University, Nanjing 210093, P. R. China
  • Online:2012-02-25 Published:2010-01-03


Security and reliability must be focused on control systems firstly, and fault detection and diagnosis (FDD) is the main theory and technology. Now, there are many positive results in FDD for linear networked control systems (LNCSs), but nonlinear networked control systems (NNCSs) are less involved. Based on the T-S fuzzy-modeling theory, NNCSs are modeled and network random time-delays are changed into the unknown bounded uncertain part without changing its structure. Then a fuzzy state observer is designed and an observer-based fault detection approach for an NNCS is presented. The main results are given and the relative theories are proved in detail. Finally, some simulation results are given and demonstrate the proposed method is effective.