Reliable H_∞ Filtering for Networked Control Systems With Multiple Packet Dropout Rates and Multiple Sensor Fault Modes

This paper deals with the reliable H_∞filter design problem for networked control systems with multiple packet dropout rates and multiple sensor fault modes. The random packet dropout phenomenon is represented by a stochastic variable that satisfies Bernoulli random binary distribution, and the expectation changes with the network bandwidth and the network traffic. Meanwhile, the sensor faults are established by using a series of stochastic variables that obey different random distributions at the different fault modes. Then, the filter error system is modeled as the stochastic switch system; the design method of the H_∞reliable filter is given via the stochastic system theory and the mode-dependent average dwell time method. Finally, a simulation example is used to show the effectiveness of the proposed method.