The studies in UAV modeling and control have been increased rapidly recently. This paper presents the modeling and control of a four rotor vertical take-off and landing (VTOL) unmanned air vehicle known as quadrotor aircraft. The modeling of the quadrotor will be described by using Euler-Newton equations. In order to stable the quadrotor and control the attitude of that, classical PID controlle...

Experimental studies have shown that hatching rate depends, among other factors, on the main physical characteristics of the eggs. The physical parameters used in our work were egg weight, eggshell thickness, egg sphericity, and yolk per albumen ratio. The relationships of these parameters in the incubation process were modeled by Fuzzy logic. The rules of the Fuzzy modeling were based on the a...

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 ar...

In this study, we introduce and study a concept of distributed fuzzymodeling. Fuzzy modeling encountered so far is predominantly of a centralizednature by being focused on the use of a single data set. In contrast to this style ofmodeling, the proposed paradigm of distributed and collaborative modeling isconcerned with distributed models which are constructed in a highly collaborativefashion. I...

Fuzzy modeling is routinely used to transform the knowledge of an expert, be it a physician or a process operator, into a mathematical model. The emphasis is on constructing a fuzzy expert system that replaces the human expert. In this paper, we advocate a di1erent application of fuzzy modeling, namely, as a tool that can assist human observers in the di2cult task of transforming their observat...

A b s t I' act. Maintaining soil productivity is essential if agri­ culture production systems are to be sustainable, thus soil quality is an essential issue. However, there is a paucity of tools for mea­ surement for the purpose ofunderstanding changes in soil quality. Here the possibility of using fuzzy modeling theory as a means to address the problem of soil quality assessment is considered...

Combining both kinds of fuzzy logic forms including fuzzy T-S model and adaptive fuzzy logic systems, this paper presents an adaptive control scheme for a class of nonlinear systems. Firstly, the fuzzy T-S model is used to approximate the nonlinear systems, and the fuzzy control law of the fuzzy model is derived by the linear matrix inequality. Secondly, the adaptive fuzzy logic systems are con...

This work proposes a fuzzy modeling–based approach for describing signal transduction networks. Many key steps in signal transduction mechanisms have been investigated qualitatively in the literature, however, only little quantitative information is available. Fuzzy models can make use of this situation as fuzzy rules can be based upon the qualitative information that is found in the literature...

In recent years answer set programming has been extended to deal with multi-valued predicates. The resulting formalisms allows for the modeling of continuous problems as elegantly as ASP allows for the modeling of discrete problems, by combining the stable model semantics underlying ASP with fuzzy logics. However, contrary to the case of classical ASP where many efficient solvers have been cons...

Theories of fuzzy sets and type-2 fuzzy sets are powerful mathematical tools for modeling various types of uncertainty. In this paper we introduce the concept of type-2 fuzzy finite state automata and discuss the algebraic study of type-2 fuzzy finite state automata, i.e., to introduce the concept of homomorphisms between two type-2 fuzzy finite state automata, to associate a type-2 fuzzy trans...