General Mathematics

   

Nature-Inspired Optimal Tuning of Input Membership Functions of Takagi-Sugeno-Kang Fuzzy Models for Anti-Lock Braking Systems

Authors: Radu-Emil Precup, Marius-Csaba Sabau, Emil M. Petriu

This paper suggests a synergy of fuzzy logic and nature-inspired optimization in terms of the nature-inspired optimal tuning of the input membership functions of a class of Takagi-Sugeno-Kang (TSK) fuzzymodels dedicated to Anti-lock Braking Systems (ABSs).

Comments: 15 Pages.

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Submission history

[v1] 2018-03-23 06:29:33

Unique-IP document downloads: 9 times

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