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In this paper, a new adaptive fuzzy controller is proposed for the dynamic positioning system of vessels with unknown time-varying dynamic model parameters and environmental disturbances. This controller comprises of an adaptive fuzzy logic and the dynamic surface control (DSC) technique. The adaptive fuzzy system is used to estimate the uncertainties induced by unknown dynamic model parameters and...
This paper presents a new path planning method for mobile robots in unknown environments. The structure of the proposed algorithm is a hybrid fuzzy logic neural networks, and hence it benefits from the potentials of these two techniques. For modeling the mobile robot, the proposed system adopts the Braitenberg's automata models that were developed for agents. Wheels of the robot are represented by...
A clear understanding of risk factors is important in order to develop appropriate prevention and control strategies for infections caused by such pathogens as Salmonella Typhimurium. There have been many studies on modelling of pathogen infections by analysing the relevant risk factors. In this paper, a novel neuro-fuzzy based approach to analysing risk factors of Salmonella Typhimurium infections...
This paper presents a new fuzzy controller for semi-active vehicle suspension systems, which has a significantly fewer number of rules in comparison to existing fuzzy controllers. The proposed fuzzy controller has only nine fuzzy rules, whose performance is equivalent to the existing fuzzy controller with 49 fuzzy rules. The proposed controller with less number of fuzzy rules will be more feasible...
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