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SOMLab Research Result | Necessary and Sufficient Conditions for Data-Driven Model Reference Control
Latest research result from SOMLab: necessary and sufficient conditions for data-driven model reference control
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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 Seminar Announcement | Prof. Alessandro Astolfi (Imperial College London): Dynamic Linearizability Implies Static Stabilizability and Related Results
Prof. Alessandro Astolfi from Imperial College London is invited to present 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