Jun 18, 2024 · This paper proposes a framework for deep Long Short-Term Memory (D-LSTM) network embedded model predictive control (MPC) for car-following ...

Jun 18, 2024 · This paper proposes a framework for deep Long Short-Term Memory (D-LSTM) network embedded model predictive control (MPC) for car-following ...

This paper proposes a framework for deep Long Short-Term Memory (D-LSTM) network embedded model predictive control (MPC) for car-following control of ...

Jul 2, 2024 · Abstract—This paper proposes a framework for deep Long Short-Term Memory (D-LSTM) network embedded model pre- dictive control (MPC) for car- ...

This dissertation first conducts a comprehensive review on car-following models and MPC theories and applications on vehicle control. Then a novel control ...

This paper proposes a framework for deep Long Short-Term Memory (D-LSTM) network embedded model predictive control (MPC) for car-following control of connected ...

A Deep Long Short-Term Memory Network Embedded Model Predictive Control Strategies for Car-Following Control of Connected Automated Vehicles in Mixed Traffic.

A Deep Long Short-Term Memory Network Embedded Model Predictive Control Strategies for Car-Following Control of Connected Automated Vehicles in Mixed Traffic.

This paper developed a CAV synchronization control, which cooperatively instructs the movements of two CAVs, initially apart and separated by other vehicles.

We design controllers and derive implementable algorithms for autonomous and cooperative car-following control (CFC) systems under a receding horizon ...