In this paper a control approach for a flexible robotic manipulator using a Model-Based Fuzzy technique is investigated. The developed controller is based on Takagi-Sugeno fuzzy modelling and LMI (Linear Matrix Inequality) analysis. By utilizing the concept of parallel distributed compensation (PDC) by considering decay rate and constraints on control input, the design of fuzzy controller is presented. The effectiveness of the proposed method is demonstrated through comparison with other existing methods.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.