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Deep Dynamics: Vehicle Dynamics Modeling With a Physics-Constrained Neural Network for Autonomous Racing

This letter introduces Deep Dynamics, a physics-constrained neural network (PCNN) for autonomous racecar vehicle dynamics modeling.

John Chrosniak, Jingyun Ning, Madhur Behl

Deep Dynamics: Vehicle Dynamics Modeling With a Physics-Constrained Neural Network for Autonomous Racing

Scalable Deep Kernel Gaussian Process for Vehicle Dynamics in Autonomous Racing

We investigated the potential of DKL-SKIP as a promising tool for modeling complex vehicle dynamics in both real-world and simulated environments.

Jingyun Ning, Madhur Behl

Scalable Deep Kernel Gaussian Process for Vehicle Dynamics in Autonomous Racing

Data-Driven Model Predictive Control For Real-Time Stormwater Management

We propose a data-driven approach, which utilizes unstructured state-space models for system identification and predictive control implementation.

Jingyun Ning, Benjamin D Bowes, Jonathan L Goodall, Madhur Behl

Data-Driven Model Predictive Control For Real-Time Stormwater Management