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Robust Fuzzy Q-Learning-Based Strictly Negative Imaginary Tracking Controllers for the Uncertain Quadrotor Systems

Research article (IEEE Transactions on Cybernetics, 2022) · cited 26× · AI/ML
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Robust Fuzzy Q-Learning-Based Strictly Negative Imaginary Tracking Controllers for the Uncertain Quadrotor Systems

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Robust Fuzzy Q-Learning-Based Strictly Negative Imaginary Tracking Controllers for the Uncertain Quadrotor Systems is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Robust Fuzzy Q-Learning-Based Strictly Negative Imaginary Tracking Controllers for the Uncertain Quadrotor Systems. Retrieved May 24, 2026, from https://4ort.xyz/entity/robust-fuzzy-q-learning-based-strictly-negative-imaginary-tracking-controllers-for-the-uncertain-quadrotor-systems
MLA “Robust Fuzzy Q-Learning-Based Strictly Negative Imaginary Tracking Controllers for the Uncertain Quadrotor Systems.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/robust-fuzzy-q-learning-based-strictly-negative-imaginary-tracking-controllers-for-the-uncertain-quadrotor-systems.
BibTeX @misc{4ortxyz_robust-fuzzy-q-learning-based-strictly-negative-imaginary-tracking-controllers-for-the-uncertain-quadrotor-systems_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Robust Fuzzy Q-Learning-Based Strictly Negative Imaginary Tracking Controllers for the Uncertain Quadrotor Systems}}, year = {2026}, url = {https://4ort.xyz/entity/robust-fuzzy-q-learning-based-strictly-negative-imaginary-tracking-controllers-for-the-uncertain-quadrotor-systems}, note = {Accessed: 2026-05-24}}
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