Abstract
This paper focuses on the H ∞ 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.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
