Abstract
This paper deals with the decentralized stabilization problem for a T-S fuzzy large-scale system. The interconnection between any two subsystems may be nonlinear and satisfies some matching condition. The decentralized parallel distributed compensation (PDC) fuzzy control for each subsystem is synthesized in which the control gain depends on the strength of interconnections, maximal number of the fired rule in each subsystem and the common positive matrix P/sub i/. Based on Lyapunov criterion and Riccati-inequality, and some sufficient conditions are derived and the common P/sub i/ is solved by linear matrix inequalities (LMI) toolbox of Matlab so that the whole closed-loop large-scale fuzzy system with the synthesized fuzzy control is asymptotically stable. Furthermore, we also discuss the robustness of the closed loop system with perturbations. Finally, a numerical example is given to illustrate the control synthesis and its effectiveness.
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.
