Modeling and control of nonlinear systems using an interactive software: A T-S fuzzy approach
Michael Klug, Luís F. P. Silva · 2019
This paper describes a Matlab-based interactive tool focused on the modeling and control of nonlinear systems using a Takagi-Sugeno (T-S) fuzzy approach. Noticeably the modeling of dynamical nonlinear systems plays a fundamental role in the field of automatic control, since it allows to apply well-established analysis and control synthesis tools based on the Lyapunov theory. The interactive tool presented in this work is dedicated to aid control practitioners to easily derive a fuzzy state-space representation which is locally equivalent to the original nonlinear system and also to obtain a controller meeting desired closed-loop requirements.