Neural network predictive control for autonomous underwater vehicle with input delay

DOI10.1155/2018/2316957zbMath1403.93148OpenAlexW2805663846MaRDI QIDQ1629480

Jiemei Zhao

Publication date: 12 December 2018

Published in: Journal of Control Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2018/2316957

zbMATH Keywords

stabilityneural networkpredictive controlautonomous underwater vehicle

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Lyapunov and other classical stabilities (Lagrange, Poisson, (L^p, l^p), etc.) in control theory (93D05) Automated systems (robots, etc.) in control theory (93C85)

Cites Work

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• A General Robust MPC Design for the State-Space Model: Application to Paper Machine Process
• Network delay predictive compensation based on time-delay modelling as disturbance
• Embedded MPC Controller Based on Interior-Point Method with Convergence Depth Control
• Globally robust explicit model predictive control of constrained systems exploiting SVM‐based approximation
• Backstepping-based cooperative and adaptive tracking control design for a group of underactuated AUVs in horizontal plan

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