Abstract

This paper studies the problem of guaranteed cost control for a nonlinear interconnected system which is composed by a number of Takagi-Sugeno (T-S) fuzzy subsystems with interconnections. A linear quadratic cost function is considered as the performance index of the closed-loop fuzzy interconnected system. Then, the decentralized guaranteed cost fuzzy control for each rule of the subsystem is synthesized by parallel distributed compensation (PDC). Based on the Lyapunov criterion and linear matrix inequalities (LNl1s) method, some sufficient conditions are derived to obtain the local state feedback gain of the PDC control such that the whole closed-loop fuzzy interconnected system is not only asymptotically stable but also cost guaranteed Finally, we give a practical example to illustrate the effectiveness of the proposed criterion.

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.