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A general motion controller based on deep reinforcement learning for an autonomous underwater vehicle with unknown disturbances.

, , , , , , and . Eng. Appl. Artif. Intell., 117 (Part): 105589 (2023)

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A general motion control framework for an autonomous underwater vehicle through deep reinforcement learning and disturbance observers., , , , , and . J. Frankl. Inst., 360 (8): 5728-5758 (2023)Finite-time sliding mode control for networked singular Markovian jump systems with packet losses: A delay-fractioning scheme., , , and . Neurocomputing, (2020)Energy consumption analysis and evaluation of petrochemical industries using an improved fuzzy analytic hierarchy process approach., , , , and . J. Intell. Fuzzy Syst., 32 (6): 4183-4195 (2017)Event-triggered adaptive target tracking control for an underactuated autonomous underwater vehicle with actuator faults., , , , , and . J. Frankl. Inst., 360 (4): 2867-2892 (March 2023)Robust adaptive sliding mode control for discrete singular systems with randomly occurring mixed time-delays under uncertain occurrence probabilities., , , , and . Int. J. Systems Science, 51 (6): 987-1006 (2020)Cloud-Edge Collaboration with Green Scheduling and Deep Learning for Industrial Internet of Things., , , , and . GLOBECOM, page 1-6. IEEE, (2021)A general motion controller based on deep reinforcement learning for an autonomous underwater vehicle with unknown disturbances., , , , , , and . Eng. Appl. Artif. Intell., 117 (Part): 105589 (2023)