Decoupled Visual Servoing With Fuzzy Q-Learning
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2016.2617464
Abstract: The objective of visual servoing aims to control an object's motion with visual feedbacks and becomes popular recently. Problems of complex modeling and instability always exist in visual servoing methods. Moreover, there are few research… read more here.
Keywords: fuzzy learning; decoupled visual; servoing fuzzy; servoing ... See more keywords
Identification of Alzheimer's EEG With a WVG Network-Based Fuzzy Learning Approach
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DOI: 10.3389/fnins.2020.00641
Abstract: A novel analytical framework combined fuzzy learning and complex network approaches is proposed for the identification of Alzheimer's disease (AD) with multichannel scalp-recorded electroencephalograph (EEG) signals. Weighted visibility graph (WVG) algorithm is first applied to… read more here.
Keywords: fuzzy learning; eeg; network; identification alzheimer ... See more keywords
Robust Fuzzy Q-Learning-Based Strictly Negative Imaginary Tracking Controllers for the Uncertain Quadrotor Systems
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.48550/arxiv.2203.13959
Abstract: Quadrotors are one of the popular unmanned aerial vehicles (UAVs) due to their versatility and simple design. However, the tuning of gains for quadrotor flight controllers can be laborious, and accurately stable control of trajectories… read more here.
Keywords: fuzzy learning; control; strictly negative; controller ... See more keywords