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Fuzzy cognitive maps (FCMs) are a very convenient and simple tool for modeling complex systems. They are popular due to their simplicity and user friendliness. However, according to [1], human experts are subjective and can handle only relatively simple networks therefore there is an urgent need to develop methods for automated generation of FCM models. The present research deals with the methodology...
Intelligent robot cooperation tasks have very complex decision-making and computational processes. Collecting and calculating with a high amount of data is one of the weakest point of such system. In addition all of these it is necessary to process in real-time with limited computational capacity. In this paper we propose some novel algorithms for coping with these problems and give some information...
This paper presents a novel method for control cooperating robots where the explicit communication line is substituted with fuzzy communication algorithms. Fuzzy signatures are used in a context dependent codebook, as complex state description method for intention guessing and action selection. Finally a possible cooperative robot application on a realistic example with missing data components will...
This paper suggests a new pattern of human knowledge. Its execution represents an important stage in the general framework of aiming the building of an artificial cognitive system. First the general presentation of the artificial cognitive system, its objective, main principles and implementation phases are highlighted. The known patterns, which have a cultural (philosophical, psychological and linguistic)...
The paper presents aspects concerning the modeling and driving scenarios of a class of vehicular power train systems. The modeling includes an analysis of the system components which include the spark-ignition internal combustion engine, the torque converter, the metal V-belt type continuously variable transmission and the wheels. Four driving scenarios are illustrated by digital simulation results:...
The “Model Reference Adaptive Control (MRAC)” is a popular approach from the early nineties to our days. Its basic idea is the application of proper feedback that makes the behavior of the controlled system identical to that of the “reference model” that normally is simple enough to control. The idea has many particular variants with the common feature that they are designed by the use of Lyapunov's...
This paper suggests a new pattern of human knowledge. Its execution represents an important stage in the general framework of aiming the building of an artificial cognitive system. First the general presentation of the artificial cognitive system, its objective, main principles and implementation phases are highlighted. The known patterns, which have a cultural (philosophical, psychological and linguistic)...
This paper presents a novel method for control cooperation between human and robots without any explicit communication line. We have proposed a fuzzy communication philosophy and implementation technique, where the codebooks are built up by fuzzy signatures. Fuzzy signatures are used as complex state description method for intention guessing and action selection. Robots cooperation means also to define...
The paper presents research results concerning cognition aspects with focus on causality. An abstraction model is proposed. It represents one of the basic processes of learning and cognition. The definitions of classes and subclasses stand for the definition of the new model of abstraction. The following characteristics are used to describe the new abstraction model: knowledge energy, Shannon entropy,...
In this paper, we present a solution for increasing the efficiency of the photovoltaic systems. The idea is to design a dual-axis tracking system, which changes the position of the photovoltaic panel for maximizing the incident radiation on panel. The tracking system is approached in mechatronic concept, integrating the control system in the mechanical model of the tracking system. The virtual model...
The paper presents researches in the field of increasing the efficiency of the solar energy conversion in the photovoltaic (PV) systems. The idea is to design and optimize a tracking mechanism, which changes the position of the PV panel in order to maximize the solar radiation degree of use. The tracking system is approached in mechatronic concept, by integrating the electronic control system in the...
This paper intends to continue the author research program on modular robots by a new solution of the inverse kinematics problem. An original method based on plausible reasoning is proposed. The paper structure consists on the following parts: an introduction where the inverse kinematics problem and the plausible reasoning principles are presented, the description of the proposed method and simulations...
The paper intends to develop a conceptual foundation for our next works in industrial robots modular design. The goal of this works is to develop cheap and improved robots which are adapted to the costumer needs.
The paper intends to continue the research program of human knowledge. We will present a theory of commune sense which is related to plausible reasoning. In order to do this we will establish the principles and some theoretical results which have been obtained from the mentioned principles: the Bayesian theorem and the Bayesian filter. The next step was to use these theoretical results in models creation...
The aim of this paper is to present a general view about the autonomous driving researches made in the University of Applied Science Heilbronn, Germany. More exactly we will present aspects about our autonomous car design and construction. We will point out the original elements of our achievements: the driving robot construction and the control system structure design. This will be also the occasion...
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