Quantized fuzzy H∞ control for networked systems with a markovian sensor distortion under hybrid attacks
Shuai Wang, Xiao‐Heng Chang
Abstract
In this paper, the H∞ state feedback control problem of discrete-time networked nonlinear systems affected by sensor distortion, actuator saturation effect, quantization and network attacks is studied. The nonlinear system is modelled by the Takagi–Sugeno fuzzy model. Meanwhile, the properties of aperiodic denial-of-service attacks are described by uniform upper and lower bounds, and deception attacks are modelled by Bernoulli distribution. At the same time, a Markov jump model is adopted to indicate the sensor distortion. The aim of the research is to construct a state feedback controller that can ensure the stability and H∞ performance of the closed-loop system. Finally, we give a set of linear matrix inequalities, which is the design conditions of the controller and according to which we can get the controller that meets our requirements. At last, the reliability of the constructed method is shown by two simulation examples.