Adaptive Depth Control for Autonomous Underwater Vehicles Based on Feedforward Neural Networks

Yang Shi; Weiqi Qian; Weisheng Yan; Jun Li

doi:10.1007/11816492_29

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Adaptive Depth Control for Autonomous Underwater Vehicles Based on Feedforward Neural Networks

Yang Shi Weiqi Qian Weisheng Yan Jun Li

Year: 2006 Lecture notes in control and information sciences Pages: 207-218 Publisher: Springer Science+Business Media

DOI: 10.1007/11816492_29

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Keywords:

Control theory (sociology) Artificial neural network Feed forward Adaptive control Bounded function Nonlinear system Feedforward neural network Underwater Computer science Tracking error Scheme (mathematics) Lyapunov function Set (abstract data type) Control (management) Control engineering Engineering Mathematics Artificial intelligence

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Adaptive Control of Nonlinear Systems

Physical Sciences → Engineering → Control and Systems Engineering

Underwater Vehicles and Communication Systems

Physical Sciences → Engineering → Ocean Engineering

Adaptive Dynamic Programming Control

Physical Sciences → Computer Science → Computational Theory and Mathematics

Adaptive Depth Control for Autonomous Underwater Vehicles Based on Feedforward Neural Networks

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