Authors :
Srikshana Sasidaran; Adithya R; Haris Raja V; M.P.Anbarasi
Volume/Issue :
Volume 7 - 2022, Issue 2 - February
Google Scholar :
http://bitly.ws/gu88
Scribd :
https://bit.ly/3tnGwsR
DOI :
https://doi.org/10.5281/zenodo.6323081
Abstract :
In this paper we are going to present the
recent trends of model predictive control (MPC) and its
techniques are used in modern world. MPC forecasts
plant output behavior using a plant model. The MPC
controller solves the optimization problem across the
prediction horizon while adhering to the constraints at
the current phase. This can be used in non-linear
problems and it is more precise when compare to the
linear controller such as PID.
Keywords :
Model Predictive Control, Feedback Control Strategy, Dynamic Control Algorithms
In this paper we are going to present the
recent trends of model predictive control (MPC) and its
techniques are used in modern world. MPC forecasts
plant output behavior using a plant model. The MPC
controller solves the optimization problem across the
prediction horizon while adhering to the constraints at
the current phase. This can be used in non-linear
problems and it is more precise when compare to the
linear controller such as PID.
Keywords :
Model Predictive Control, Feedback Control Strategy, Dynamic Control Algorithms
