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Paper
Title

Designing Interval Type-2 Fuzzy Controllers by Sarsa Learning

Year: 1392
COI: ICEE21_350
Language: EnglishView: 862
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Authors

Nooshin Nasri Mohajeri - Ferdowsi University of Mashhad, Mashhad
Mohammad Bagher Naghibi Sistani

Abstract:

In this paper, new Interval type-2 fuzzy controllers, which are designed by Sarsa learning, are proposed. The porposed controllers are A2-C0 Takagi-Sugeno-Kang type. Therefore, the antecedent part of rules is formed by fuzzy type-2 sets and the consequent part is comprised of possible actions. In the output processing section of fuzzy type-2 controllers, in addition to, Karnik-Mendel type reducer accompanied by centroid deffuzification, another output processor called BMM method is applied. Consequently, IT2FSL-KM and IT2FSL-BMM are generated. These new controllers are compared with other fuzzy controllers designed by RL methods in truck backing control problem. Simulation results represent the efficiency and effectiveness of proposed controllers in noiseless and noisy environment

Keywords:

Fuzzy Q-learning (FQL) , fuzzy Sarsa learning (FSL) , interval type-2 fuzzy set (IT2F Set) , reinforcement learning (RL) , type-2 fuzzy logic systems (T2FLS)

Paper COI Code

This Paper COI Code is ICEE21_350. Also You can use the following address to link to this article. This link is permanent and is used as an article registration confirmation in the Civilica reference:

https://civilica.com/doc/208407/

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Nasri Mohajeri, Nooshin and Naghibi Sistani, Mohammad Bagher,1392,Designing Interval Type-2 Fuzzy Controllers by Sarsa Learning,21th Iranian Conference on Electric Engineering,Mashhad,https://civilica.com/doc/208407

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Type of center: دانشگاه دولتی
Paper count: 29,536
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