Diving Autopilot Design for Underwater Vehicles Using an Adaptive Neuro-Fuzzy Sliding Mode Controller

DOI10.1007/978-3-319-30169-3_21zbMath1360.93469OpenAlexW2464835872MaRDI QIDQ2977683

L. M. Waghmare, G. V. Lakhekar, Sundarapandian Vaidyanathan

Publication date: 19 April 2017

Published in: Advances and Applications in Nonlinear Control Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-30169-3_21

zbMATH Keywords

autonomous underwater vehicleadaptive neuro-fuzzy sliding mode controlfuzzy logic control and neural network

Mathematics Subject Classification ID

Fuzzy control/observation systems (93C42) Neural networks for/in biological studies, artificial life and related topics (92B20) Adaptive control/observation systems (93C40) Automated systems (robots, etc.) in control theory (93C85) Variable structure systems (93B12)

Cites Work

• Single input fuzzy logic controller for unmanned underwater vehicle
• Adaptive control of nonlinear systems: A case study of underwater robotic systems
• The LQG/LTR procedure for multivariable feedback control design
• Multivariable feedback design: Concepts for a classical/modern synthesis
• Stable nonlinear adaptive controller for an autonomous underwater vehicle using neural networks

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