Abstract
In this article, a new systematic synthesis method is proposed to design a full state feedback gain-scheduling controller for Takagi-Sugeno (T-S) fuzzy plants. Both the stability and H ∞ performance of the closed-loop system are considered. More specifically, by using the information that the degree of membership function is constrained within the interval [0,1], the T-S fuzzy plant is transformed into the form of linear fractional transformation (LFT). Within the framework of LFT, the problem of stability and H ∞ performance for the T-S fuzzy system can be reformulated into a convex optimization problem which can be approached by solving a set of linear matrix inequalities. A numerical example is provided to illustrate the effectiveness of the proposed method.
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.
