A Neural Network Adaptive Controller for Autonomous Diving Control of an Autonomous Underwater Vehicle |
Li, Ji-Hong
(Development System Lab. of the Korea Research Institute of Ships & Ocean Engineering)
Lee, Pan-Mook (Development System Lab. of the Korea Research Institute of Ships & Ocean Engineerin) Jun, Bong-Huan (Development System Lab. of the Korea Research Institute of Ships & Ocean Engineering) |
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Experimental study on a learning control system with bound estimation for underwater robots
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DOI ScienceOn |
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Multivariable self-tuning autopilots for autonomous and remotely operated underwater vehicles
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DOI ScienceOn |
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Robust trajectory control of underwater vehicles
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DOI |
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Discrete-time quasisliding mode control of an autonomous underwater vehicle
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DOI ScienceOn |
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Application of non-regressorbased adabtive control to underwater robots: experiment
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DOI ScienceOn |
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Approximation by superpositions of a sigmoidal function
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DOI ScienceOn |
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An On-line adaptation method in a neural network based control system for AUV's
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DOI ScienceOn |
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Networks and the best approximation property
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DOI |
9 |
A neural net controller for underwater robotic vehicles
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DOI ScienceOn |
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An intelligent control system for remotely operated vehicles
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DOI ScienceOn |
11 |
Multivariable sliding mode control for autonomous diving and steering of unmanned underwater vehicles
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DOI ScienceOn |
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Robust control of a remotely operated underwater vehicle
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DOI ScienceOn |
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High-order neural network structures for identification of dynamical systems
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DOI ScienceOn |
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Stable adaptive neural control scheme for nonlinear systems
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DOI ScienceOn |
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Adaptive neural network control for strict-feedback nonlinear systems using backstepping design
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Development of an Advanced Deep-Sea Unmanned Underwater Vehicle
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An adaptive neural-net controller system for an underwater vehicle
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DOI ScienceOn |
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Neural network adaptive robust control of nonlinear systems in semi-strict feedback form
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DOI ScienceOn |
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Neural net based nonlinear adaptive control for autonomous underwater vehicles
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On-line learning control of autonomous underwater vehicles using feedforware neural networks
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DOI ScienceOn |