Passitivity Analysis for a Class of Neurofuzzy Controllers
Edgar Nelson Sanchez, Victor Vega · Intelligent Automation & Soft Computing · 1997
This paper presents passivity analysis for a class of neurofuzzy controllers. The analysis utilizes the equivalence of this controller and radial basis neural networks. Passivity properties are established for this kind of controller; based on these properties, stability conditions for the closed loop with nonlinear plants are derived, as a theorem that is stated and proved. This theorem is our main result; it contributes, as an original approach, to perform fuzzy control stability analysis. Applicability of the theorem is ilustrated via simulations.