In this paper, a novel sliding mode observer-based fault estimation (FE)
method is presented for a class of nonlinear networked control systems (NCSs)
with Markov transfer delays. Firstly, the nonlinear NCS is described by a nonlinear
discrete Takagi–Sugeno (T–S) fuzzy model using the Euler approximation 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.