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Paper Information

Journal:   JOURNAL OF ADVANCES IN COMPUTER RESEARCH   FEBRUARY 2014 , Volume 5 , Number 1 (15); Page(s) 1 To 12.
 
Paper: 

OPTIMAL TYPE-2 FUZZY CONTROLLER FOR ANTI-LOCK BRAKING SYSTEMS

 
 
Author(s):  EBRAHIMI MEYMAND NAHID*, GHARAVEISI ALIAKBAR
 
* ELECTRICAL ENGINEERING DEPARTMENT, SHAHID BAHONAR UNIVERSITY OF KERMAN, KERMAN, IRAN
 
Abstract: 

Anti-lock Braking System (ABS) is a nonlinear and time varying system including uncertainty, so it cannot be controlled by classic methods. Intelligent methods such as fuzzy controller are used in this area extensively; however traditional fuzzy controller using simple type-1 fuzzy sets may not be robust enough to overcome uncertainties. For this reason an interval type-2 fuzzy controller is developed to improve the performance of ABS in presence of uncertainty such as changing road condition. The output membership functions have been optimized by Discrete Action Reinforcement Learning Automata (DARLA) technique. Simulation results show the effectiveness of the proposed controller in comparison to type-1 fuzzy controller.

 
Keyword(s): ANTI-LOCK BRAKING SYSTEM (ABS), DISCRETE ACTION REINFORCEMENT LEARNING AUTOMATA (DARLA), TYPE-2 FUZZY CONTROLLER
 
 
References: 
 
+ Click to Cite.
APA: Copy

EBRAHIMI MEYMAND, N., & GHARAVEISI, A. (2014). OPTIMAL TYPE-2 FUZZY CONTROLLER FOR ANTI-LOCK BRAKING SYSTEMS. JOURNAL OF ADVANCES IN COMPUTER RESEARCH, 5(1 (15)), 1-12. https://www.sid.ir/en/journal/ViewPaper.aspx?id=402943



Vancouver: Copy

EBRAHIMI MEYMAND NAHID, GHARAVEISI ALIAKBAR. OPTIMAL TYPE-2 FUZZY CONTROLLER FOR ANTI-LOCK BRAKING SYSTEMS. JOURNAL OF ADVANCES IN COMPUTER RESEARCH. 2014 [cited 2021May18];5(1 (15)):1-12. Available from: https://www.sid.ir/en/journal/ViewPaper.aspx?id=402943



IEEE: Copy

EBRAHIMI MEYMAND, N., GHARAVEISI, A., 2014. OPTIMAL TYPE-2 FUZZY CONTROLLER FOR ANTI-LOCK BRAKING SYSTEMS. JOURNAL OF ADVANCES IN COMPUTER RESEARCH, [online] 5(1 (15)), pp.1-12. Available: https://www.sid.ir/en/journal/ViewPaper.aspx?id=402943.



 
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