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SOMLab Research | Lyapunov-based Inverse Reinforcement Learning for Data-Driven Vehicle Car-Following Behavior
Latest research from SOMLab: Lyapunov-based Inverse Reinforcement Learning for Data-Driven Vehicle Car-Following Behavior
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Congratulations | Prof. Wenwu Yu and Prof. Simone Baldi Selected for Elsevier 2025 Highly Cited Chinese Researchers List
Congratulations to Prof. Wenwu Yu and Prof. Simone Baldi for being selected for the Elsevier 2025 Highly Cited Chinese Researchers List
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SOMLab Research | Adaptive Demand Response Power Tracking Control for Heterogeneous Thermostatically Controlled Loads
SOMLab team proposes adaptive demand response power tracking control for heterogeneous thermostatically controlled loads
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SOMLab Research | I&I-Driven Cooperative Platooning Control for Intelligent Connected Vehicles
SOMLab team proposes an immersion and invariance (I&I)-driven cooperative platooning control method for intelligent connected vehicles
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SOMLab Lecture Announcement | Professor Alessandro Astolfi from Imperial College London on 'Dynamic Linearizability Implies Static Stabilizability and Related Results'
Professor Alessandro Astolfi from Imperial College London delivers a lecture on dynamic linearizability, static stabilizability, and related results
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SOMLab Research | Personalized Car-Following Strategy for Intelligent Driving Assistance Based on Traffic Population Characteristics
SOMLab team proposes a personalized car-following strategy for intelligent driving assistance based on traffic population characteristics
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SOMLab Research | Online Estimation of Powertrain Time Constants in Adaptive Vehicle Platooning
SOMLab team proposes online estimation method of powertrain time constants in adaptive vehicle platooning