Abstract-This paper deals with nonlinear system control with input saturation and parametric uncertainties. The considered nonlinear systems are represented by Takagi-Sugeno models. The proposed controller is a parallel distributed compensation state feedback. Stabilization conditions are derived with the Lyapunov method and expressed as an optimization problem under linear matrix inequality (LMI) constraints. The obtained controller gains depend on the saturation limits. The descriptor approach for modelling is also applied to reduce the number of LMI. An academic example is presented with a comparison between the proposed approach and a conventional controller.
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.