Nature-inspired optimal tuning of input membership functions of Takagi-Sugeno-Kang fuzzy models for Anti-lock Braking Systems

Title
Nature-inspired optimal tuning of input membership functions of Takagi-Sugeno-Kang fuzzy models for Anti-lock Braking Systems
Authors
Keywords
Anti-lock Braking Systems, Operating point selection algorithm, Particle Swarm Optimization, Simulated Annealing, Takagi-Sugeno-Kang fuzzy models, Real-time experimental results
Journal
APPLIED SOFT COMPUTING
Volume 27, Issue -, Pages 575-589
Publisher
Elsevier BV
Online
2014-07-15
DOI
10.1016/j.asoc.2014.07.004

Ask authors/readers for more resources

Reprint

Contact the author

Publish scientific posters with Peeref

Peeref publishes scientific posters from all research disciplines. Our Diamond Open Access policy means free access to content and no publication fees for authors.

Learn More

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search