Abstract
inverted pendulum is a highly nonlinear and open loop unstable system. To develop an accurate model of the inverted pendulum, different linear and nonlinear methods of identification will be used. However one of the problems encountered during modeling is the collection of experimental data from the inverted pendulum system. Since the output data from the unstable system does not show enough information or dynamics of the system. This can be overcome by designing a feedback controller , which stabilize the system before identification can takes place. Recently TakagiSugeno (TS) fuzzy modeling based on cluster ing techniques have shown great progress in identification of nonlinear systems. Hence in this paper, TakagiSuge no (TS) model is proposed for an inverted pendulum based on fuzzy c means , GustafsonKessel (GK) and GathGeva (GG) clustering techniques. Simulation results show that Gustafson Kessel (GK) clustering technique produces satisfactory performance.
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.
