首页|Findings from University College London (UCL) in the Area of Machine Learning Re ported (Passive Fault-tolerant Augmented Neural Lyapunov Control: a Method To Sy nthesise Control Functions for Marine Vehicles Affected By Actuators Faults)
Findings from University College London (UCL) in the Area of Machine Learning Re ported (Passive Fault-tolerant Augmented Neural Lyapunov Control: a Method To Sy nthesise Control Functions for Marine Vehicles Affected By Actuators Faults)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Researchers detail new data in Machine Learning. According to news reporting from London, United Kingdom, by NewsRx jo urnalists, research stated, “Closed-loop stability of control systems can be und ermined by actuator faults. Redundant actuator sets and Fault-Tolerant Control ( FTC) strategies can be exploited to enhance system resiliency to loss of actuato r efficiency, complete failures or jamming.” Funders for this research include National Oceanography Centre, Southampton (UK) , University College London, London (UK), European Research Council (ERC).
LondonUnited KingdomEuropeCyborgsEmerging TechnologiesMachine LearningUniversity College London (UCL)
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