Abstract
Anti-lock braking system (ABS) for railways is mentioned as one of the way of reducing the risk for railways. Recently, ABS for railways is put in practical use, for example, ABS using multi-stage fuzzy reasoning. In this paper, we propose the new types of ABS using one-stage fuzzy reasoning, and compare the control performances of the proposed ABSs with the present ABS in respect of braking distance, wheel damages, and the frequency of action of valves through the numerical simulations. Moreover, we show the effect for the prevention of hunting. © Springer-Verlag Berlin Heidelberg 2005.
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CITATION STYLE
Asanome, T., Nonaka, T., Endo, Y., Nakazawa, S. I., & Yoshikawa, H. (2005). Evaluation of control performance of multi-stage fuzzy reasoning in anti-lock braking system for railways using fuzzy reasoning. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 3558 LNAI, pp. 110–121). Springer Verlag. https://doi.org/10.1007/11526018_12
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