Analog processing for nonlinear fuzzy controller development

In this work we present some analog circuits used in fuzzy control. We have done some modifications to conventional implementations and we present a new circuit for the inference stage. We have substituted the conventional method of rule aggregation for a simpler one, which results in a reduced number of transistors. We also present an example of an analog fuzzy controller applied to a nonlinear plant with multiplicity of stable and unstable equilibrium points, different operation regions and different operation modes.