the control of car following is essential due to its safety and its operational efficiency. for this purpose, this paper builds a model of car following behavior based on armax structure from a real traffic dataset and design a model predictive control (mpc) system. based on the relative distance and relative acceleration of each instant, the mpc predicts the future behavior of the leader vehic...

In this paper a neural adaptive control method has been developed and applied to robot control. Simulation results are presented to verify the effectiveness of the controller. These results show that the performance by using this controller is better than those which just use either direct inverse control or predictive control. In addition, they show that the resulting is a useful method which ...

In this paper a neural adaptive control method has been developed and applied to robot control. Simulation results are presented to verify the effectiveness of the controller. These results show that the performance by using this controller is better than those which just use either direct inverse control or predictive control. In addition, they show that the resulting is a useful method which ...

Objective: The objective of this paper is to develop a hierarchical two-level power system load frequency control. Design: At the button level, standard PI controllers are utilized to control area’s frequency and tie-line power interchanges. At the higher layer, model predictive control (MPC) is employed as a supervisory controller to determine the optimal set-point for the PI controllers in th...

This study presents a detailed description of a cost function-based predictive control strategy called Finite Control Set Model Predictive Control (FCS-MPC) and its applications to the control of power electronics converters. The basic concepts, operating principles and general properties of this control technique have been explained. The analysis is performed on two different power converter t...

Simulation studies of three synchronous reluctance motor (SynRM) control strategies are presented: field-oriented (FOC), direct torque (DTC), and finite-set model-predictive (FS-MPC). FOC uses linear controllers pulse-width modulation to the fundamental components load voltages vectors. In contrast, DTC FS-MPC nonlinear wherein voltage vectors directly generated in absence a modulator. Theoreti...

– Direct Torque Control using Multilevel Inverter (DTC-MLI) strategy has attracted a great deal of interest in recent years, in the field of high power induction machines or permanent magnet machines drives applications for high dynamic response. This proposal combines the advantages of the multilevel inverter with direct torque controlled based schemes. Numerous efforts have been accomplished ...