Continuous interval type‐2 fuzzy Q‐learning algorithm for trajectory tracking tasks for vehicles

DOI10.1002/rnc.6056zbMath1528.93123OpenAlexW4212956496MaRDI QIDQ6085460

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Publication date: 12 December 2023

Published in: International Journal of Robust and Nonlinear Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/rnc.6056

zbMATH Keywords

fuzzy controlreinforcement learninginterval type-2 fuzzy systemfuzzy Q-learningvehicle automation

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Fuzzy control/observation systems (93C42) Automated systems (robots, etc.) in control theory (93C85)

Cites Work

• Unnamed Item
• Backpropagation and stochastic gradient descent method
• Fuzzy steering control for autonomous vehicles under actuator saturation: design and experiments
• \({\mathcal Q}\)-learning
• Uncertainty measures for interval type-2 fuzzy sets
• Incremental Rule Base Creation with Fuzzy Rule Interpolation-Based Q-Learning
• Fuzzy sets
• Centroid of a type-2-fuzzy set

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