Sliding mode observer-based fault estimation for nonlinear networked control systems

In this paper, a novel sliding mode observer-based fault estimation (FE) method is presented for a class of the nonlinear networked control systems (NCSs) with Markov transfer delays. First, the nonlinear NCS is modelled by a nonlinear discrete Takagi-Sugeno (T-S) fuzzy model using Euler approximate method. Then, a sliding mode based nonlinear discrete observer is proposed such that the sliding motion of the error dynamical system is asymptotically stable on a designed surface. Then the FE can be achieved through this observer. Finally, an example is included to show the efficiency of the proposed method.