06-09-2017, 02:46 PM
By adjusting the associated membership function parameters to better respond to nonlinearities and modeling errors, the approach is capable of improving the computational performance of the fuzzy control model. Computational efficiency is an important aspect in this problem context because information strategies are necessary in subreal time to be deployable in real time. Experiments are conducted to evaluate the effectiveness of the approach. The results indicate that the optimized diffuse control model contributes to determine the information-based control strategies consistent with the behavior in a computational time significantly lower than when the default controller is used. Therefore, the proposed H-infinite approach contributes to the development of a control approach based on efficient and robust information.
The FUZZY control using a rule-based mechanism can be used to determine behavioral information-based control strategies for the route guidance to respond firmly to the performance improvement objectives of a system controller in a traffic system dynamic vehicle. Consistent behavioral strategies (BC) explicitly factor the driver's likely behavior response to the provision of information in determining the route guidance strategies proposed by the driver. In this context, diffuse control provides a convenient mathematical management to deal with the uncertainty and caprices associated with decision making in general and also the subjective interpretation of the linguistic attributes of the information provided. The fuzzy control model defines a fuzzy system that continuously seeks control strategies based on real-time information to improve the overall performance of the vehicular traffic system.
The FUZZY control using a rule-based mechanism can be used to determine behavioral information-based control strategies for the route guidance to respond firmly to the performance improvement objectives of a system controller in a traffic system dynamic vehicle. Consistent behavioral strategies (BC) explicitly factor the driver's likely behavior response to the provision of information in determining the route guidance strategies proposed by the driver. In this context, diffuse control provides a convenient mathematical management to deal with the uncertainty and caprices associated with decision making in general and also the subjective interpretation of the linguistic attributes of the information provided. The fuzzy control model defines a fuzzy system that continuously seeks control strategies based on real-time information to improve the overall performance of the vehicular traffic system.