Four longitudinal control techniques are compared: a classical Proportional-Integral (PI) control; an advanced technique—called the i-PI—that adds an intelligent component to the PI; a fuzzy controller based on human experience; and an adaptive-network-based fuzzy inference system. The controllers were designed to tackle one of the challenging topics as yet unsolved by the automotive sector: managing...
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