Fuzzy Control Using Inductive Reasoning

The aim of this paper is to address an emergent and important area of research, fuzzy control, by means of an inductive reasoning approach derived from the General System Theory, called Fuzzy Inductive Reasoning (FIR). This eld has had a growing interest and development in the last years, and has proved to be very useful for modeling and prediction of a large variety of systems from diierent areas, such as biomedicine, biology, mechanical and electrical, among others. A review of FIR methodology as a tool to develop fuzzy controllers is presented in this paper. Two diierent focuses, modeling and synthesis of fuzzy controllers, are discussed. Modeling is applied to those systems where a controller plant is available. Usually this type of systems are related to human controllers, and therefore, the system is viewed as a set of control actions that a human operator carries out over a speciic plant. In those cases where a plant controller is not available, the modeling approach can not be applied to obtain a fuzzy controller, and therefore it is necessary to design and synthesize the controller. This paper presents both approaches and points out particular examples for each one.