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Minimal Diagnosis and Diagnosability of Discrete-Event Systems Modeled by Automata
Published 2020-01-01“…In the last several decades, the model-based diagnosis of discrete-event systems (DESs) has increasingly become an active research topic in both control engineering and artificial intelligence. However, in contrast with the widely applied minimal diagnosis of static systems, in most approaches to the diagnosis of DESs, all possible candidate diagnoses are computed, including nonminimal candidates, which may cause intractable complexity when the number of nonminimal diagnoses is very large. …”
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A Double-Boost Converter Based on Coupled Inductance and Magnetic Integration
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Recurrent Fourier-Kolmogorov Arnold Networks for photovoltaic power forecasting
Published 2025-02-01Get full text
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Event-Based Time Varying Formation Control for Multiple Quadrotor UAVs with Markovian Switching Topologies
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Benzothiazole (BTH) Induced Resistance of Navel Orange Fruit and Maintained Fruit Quality during Storage
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Person Re-Identification Using Additive Distance Constraint With Similar Labels Loss
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Distributed SLAM Using Improved Particle Filter for Mobile Robot Localization
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Application of H∞ Filter on the Angular Rate Matching in the Transfer Alignment
Published 2016-01-01Get full text
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Memory-Based Multiagent Coevolution Modeling for Robust Moving Object Tracking
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Dynamic Path Planning of Emergency Vehicles Based on Travel Time Prediction
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Locomotive Gear Fault Diagnosis Based on Wavelet Bispectrum of Motor Current
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Nephelometer Sensitivities for the Determination of PM2.5 Mass Concentration in Ambient and Indoor Air
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Weighted Multimodel Predictive Function Control for Automatic Train Operation System
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Model-Free Composite Control of Flexible Manipulators Based on Adaptive Dynamic Programming
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A hybrid attention multi-scale fusion network for real-time semantic segmentation
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