Design of ANFIS System for Efficient Throttle and Brake Control of Vehicles?
Journal: International Journal of Computer Science and Mobile Computing - IJCSMC (Vol.3, No. 4)Publication Date: 2014-04-30
Authors : Roby Siddharth Jangam; Manjurkha M. Pathan;
Page : 973-981
Keywords : Introduction; Throttle and Brake Control using Fuzzy; Throttle and Brake Control using ANFIS; Results; Conclusions; References;
Abstract
The ANFIS is an Adaptive Neuro-Fuzzy Inference System that has a major role in control of nonlinear systems has been gaining special attention in the use of Artificial Intelligent techniques. The ANFIS system is one of the best alternatives to exploit the human knowledge. Indeed, in commercial vehicles, its aim is to progressively implement safer and more comfortable control for drivers, acting on throttle and brake. In this work, we utilize a Adaptive Neuro-Fuzzy Inference Systems to use human driving knowledge to tune and adjust the input-output parameters of a fuzzy if then system. The detail survey based on designing to control the system for controlling throttle and brake of vehicles application ,shows that the ANFIS is the best suitable alternative for methods which were used earlier.
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Last modified: 2014-04-27 17:19:30