Nanyang Technological University, Singapore
It is my honor to be the editor-in-chief of IJEETC. The journal publishes good papers which focous on the advanced researches in the field of electrical and electronic engineering & telecommunications.
Abstract— In this paper, we present a noval methodology for prevention of vehicle rollover model which is
suitable for preventing the rollovers that was caused in many vehicles. For vehicles that are
predicted to be susceptible to wheel-lift off, various control mechanisms are implemented by
earlier researchers. In this work, we propose a neural network based method for preventing and
predicting the rollover based on the combination of Neural networks logic with Gaussian controller
which does not require such accurate information about the vehicle. The validity of the proposed
methodology is proved by the experimental results and it is used to realize rollover prevention in
the direction of the rollover. The primary assumption in this implementation is that the vehicle is
equipped with a conventional neural network based controller system.
Index Terms— Rollover, Neural network tuned PID controller, PID controller
Cite: Binda M B and M Rajaram, " INTELLIGENT PREDICTION AND PREVENTION OF VEHICLE ROLLOVER USING NNLQG REGULATOR," International Journal of Electrical and Electronic Engineering & Telecommunications, Vol. 4, No. 1, pp. 40-46, January 2017.
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