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...

With the development of power switches and processor performance in recent years, control frequency inverters has been significantly improved. However, limited by technology price, sensor sampling large-scale industrial applications is much lower than inverter that can be realized. This mismatch limits improvement inverter. In this article, current voltage at non-sampling time are reconstructed...

Analysis and robustness improvement of FCS-MPCC for IPMSM with model parameter mismatches are studied in this paper. The prediction error the current synchronous rotation coordinate is analyzed it divided into two categories according to whether related selected optimal voltage vector. A method by extracting information both kinds errors last sampling period proposed. simulation experimental re...

this article deals with the issues associated with developing a new design methodology for the nonlinear model-predictive control (mpc) of a chemical plant. a combination of multiple neural networks is selected and used to model a nonlinear multi-input multi-output (mimo) process with time delays.  an optimization procedure for a neural mpc algorithm based on this model is then developed. the p...

This paper presents a simple model predictive control (MPC) approach to control the power injection system (PIS) for renewable energy applications. A DC voltage source and a single-phase inverter that is connected to the grid by an LCL filter form the PIS. Grid voltage is considered a disturbance for the system. For eliminating this disturbance, a modified model is proposed. It is usual to ...