Abstract

This paper is concerned with the generalized H 2 reduced-order filtering problem for Takagi-Sugeno fuzzy systems employing an event-triggered scheme. For a continuous Takagi-Sugeno fuzzy dynamic system, we want to establish a reduced-order filter to transform the original model into a linear lower-order one. This filter can also approximate the original system with H 2 performance, with a new event-triggered scheme used to decrease the communication loads within the network. By transforming the filtering problem to a convex optimization one, conditions are proposed to design the fuzzy reduced-order filter.

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 call

Disclaimer: 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.