Fuzzy logic-based speed guidance strategy for mixed platoons at intersections with communication delay compensation and driver reaction time modeling. [PDF]
Liu X, Yan M, Dai R, Gao M.
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Deep Learning‐Assisted Coherent Raman Scattering Microscopy
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu +4 more
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Mitigating Neural Habituation in Insect Bio-Bots: A Dual-Timescale Adaptive Control Approach. [PDF]
Triet LM, Truong Thinh N.
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Sustainable assessment of renewable energy microgrid architectures using a probabilistic hesitant fuzzy MCDM approach. [PDF]
Vijay M +6 more
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NF-MORL: a neuro-fuzzy multi-objective reinforcement learning framework for task scheduling in fog computing environments. [PDF]
Yu X +6 more
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A Personalized Gait Parameter Prediction-Based Speed-Adaptive Control Method for Hybrid Active-Passive Intelligent Prosthetic Knee. [PDF]
Wang X, Li Y, Li H, Luo S, Yu H.
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Distributed fixed time adaptive cooperative tracking control for quadrotor unmanned aerial vehicle. [PDF]
Zhou J, Liang X, Shi M, Liu Z.
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A novel intuitionistic fuzzy Yager aggregation framework for decision making in green supply chains. [PDF]
Kumar Y, Ramalingam S, Zegeye GB.
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Vassilyev, S. N. +6 more
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Controllability of Fuzzy Control Systems
IEEE Transactions on Systems, Man, and Cybernetics, 1986Controllability properties of fuzzy dynamic systems are presented using graph representation. The indices of stability and controllability are introduced. A necessary condition for controllability is formulated. An algorithm for finding acceptable controls, based on a Lyapunov-like approach, is presented. A numerical example is given.
Gupta, Madan M. +2 more
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