Fuzzy Control for Networked Nonlinear Systems Subject to Randomly Occurred. Sensor Saturations and. Multiple Packet Dropouts

This paper focuses on the controller design problem for networked Takagi-Sugeno (T-S) fuzzy systems. The outputs measured by the sensor will be subject to saturation phenomenon and suffer packet dropouts during the transmission through unreliable communication links to the remote controller. Both the sensor saturation and the packet dropouts occur randomly which are governed by the Bernoulli distributed variables. The observer is designed with data prediction compensation strategy when the packet is lost and then, the controller is designed by using the estimated states. The sufficient conditions are derived via linear matrix inequality (LMI) techniques, such that the resulting closed-loop system is asymptotically mean-square stable with the predefined disturbance attenuation performance. An example is utilized to illustrate the effectiveness of the algorithm.