Trajectory tracking control for rotary steerable systems using interval type-2 fuzzy logic and reinforcement learning

DOI10.1016/J.JFRANKLIN.2017.12.001zbMath1384.93074OpenAlexW2771998355MaRDI QIDQ1707853

Junshan Gao, Wei Zou, Ningbo Cheng, Chi Zhang

Publication date: 4 April 2018

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2017.12.001

zbMATH Keywords

nonlinearitiesuncertaintiesreinforcement learningcooperative controlinterval type-2 fuzzy logicadaptive dynamic programming (ADP)model-based dual-loop feedback cooperative controloil and gas explorationradial basis function neural networks (RBFNN)rotary steerable systems

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Neural networks for/in biological studies, artificial life and related topics (92B20) Nonlinear systems in control theory (93C10) Application models in control theory (93C95) Decentralized systems (93A14)

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Cites Work

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• Adaptive output-feedback control design with prescribed performance for switched nonlinear systems
• Eulerian formulation of constrained elastica
• Advantages of the Enhanced Opposite Direction Searching Algorithm for Computing the Centroid of An Interval Type-2 Fuzzy Set

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