This paper describes the design and implementation of the fuzzy control system for a small, reactive mobile robot which operates in an unknown , unpredictable, and dynamic environment. A modular, two-level fuzzy controller is used for navigation, obstacle avoidance, and target tracking. The fuzzy controller provides the mechanism for fusing noisy sensor data from multiple sensors which may pres...

Describing and modeling a complex system is very hard and time consuming, so, we propose to use a linguistic approach introduced by Zadeh. By taking a linguistic approach we can use linguistic variables and approximate rules to characterize approximately phenomenons which are too complex or too ill-defined to be done in numerical terms. Starting from the results obtained in our previous works, ...

Robots behaviors can be implemented as a fuzzy rules set that mimic expert knowledge in speciic tasks, but complex behavior generation need huge implementation eeorts. This can be overcome by decomposing tasks in simpler behaviors that are easier to design and tune independently. Present work shows a complex navigational behavior to follow wall avoiding obstacles, obtained combining several sim...

In a multi-robotic system, robots interact with each other in a dynamically changing environment. The robots need to be intelligent both at the individual and group levels. In this paper, the evolution of a fuzzy behavior-based architecture is discussed. The behavior-based architecture decomposes the complicated interactions of multiple robots into modular behaviors at different complexity leve...

This paper develops a novel data-driven fuzzy modeling strategy and predictive controller for boiler-turbine unit using fuzzy clustering and subspace identification (SID) methods. To deal with the nonlinear behavior of boiler-turbine unit, fuzzy clustering is used to provide an appropriate division of the operation region and develop the structure of the fuzzy model. Then by combining the input...

Knowledge systems are characterized by being active, uncertain and adaptive in pervasive computing environments, and Fuzzy Event-Condition-Action (ECA) rules can effectively describe these features of knowledge systems. To analyze the static structure and dynamic behavior of fuzzy ECA rules, a fuzzy colored time Petri net model (FCTPN) is proposed. The FCTPN is able to model the fuzzy ECA rules...

many factors affect yield loss in wheat harvesting with a grain combine harvester and there is no mathematical model to describe the behavior of this complex system. thus in this study, a fuzzy logic controller (flc) was designed, implemented and tested for the automatic settings of cylinder speed, concave clearance, fan speed and forward speed of a model 955 john deere combine. first, the mech...

Fuzzy cognitive maps (FCMs) are recurrent neural networks comprised of well-defined concepts and causal relations. While the literature about real-world FCM applications is prolific, studies devoted to understanding foundations behind these rather scant. In this article, we introduce several definitions theorems that unveil dynamic behavior FCM-based models equipped with transfer F-functions. T...