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 ...

However, model predictive control (MPC) is one such method that can handle system ... k + p], where p represents the step sizes of MPC (see the diagram above). As a result, the variance is likely to ...

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

Figure 1 is a schematic diagram of wind energy conversion ... In order to verify the control performance of the designed robust model predictive controller under real turbulent wind conditions, the ...

This article compares the conventional model predictive control (MPC) and active disturbance rejection control (ADRC) with a novel MPADRC technique for controlling a non-minimum phase behavior in the ...

This repository contains a study of trajectory tracking for an autonomous vehicle using two different controllers: Proportional-Integral-Derivative (PID) and Model Predictive Control (MPC). The study ...

The cerebellum is known to be critical for accurate adaptive control and motor learning ... that the cerebellum is a general-purpose predictive controller guided by a delayed eligibility trace rule, a ...