Two applications of fuzzy logic

This paper deals with two typical applications of fuzzy logic: model based control of nonlinear systems and decision making respectively. In the first application Takagi-Sugeno fuzzy model is used to model a nonlinear plant: the laboratory scale heat exchanger. The model is then used in generalized predictive control. In the second application the fuzzy logic is applied for several tasks in the robot soccer game analysis, such as data filtering and analysis of strategy.

I. Introduction

Fuzzy logic provides a mathematical tool to formulate mental models in a compact mathematical form. The intuitive and heuristic nature of the human mind, which is actually imprecise, can be incorporated in formal models which can essentially support the planning and decision making processes. Fuzzy logic has extended the classical mathematical models in the form of differential and difference equations to broad class of models which are easily understandable.