nonlinear optimal control of a robot arm using iLQR and GNMS nonlinear optimal control of a legged robot using iLQR nonlinear optimal control of a quadrotor with a double pendulum attached The main ...

The perimeter control problem is solved by model predictive control, where the prediction model and the plant (reality) are formulated by macroscopic fundamental diagrams. Examples are presented for ...

Abstract: Increasing motorization represents a severe problem worldwide, also affecting the emission levels of the road network. Accordingly, congestion management has obtained growing importance ...

The TensorDL-MPC toolbox is a Python-based software developed using the TensorFlow framework. It leverages deep learning techniques to enhance the performance of traditional Model Predictive Control ...

Model Predictive Control Toolbox: Use neural networks as prediction ... Simulink is a block diagram environment for simulation and Model-Based Design of multidomain and embedded engineering ...