A system and method for predicting future disturbance in MPC applications by segregating a
transient part and a steady state value associated with the disturbance. A dynamic state …

This thesis investigates novel methodologies for modelling, simulation and control of gas
turbines using ANNs. In the field of modelling and simulation, two different types of gas …

Model Predictive Control (MPC) is based on the idea to produce control input as a solution
to real-time optimization problem. The advantage of MPC is that MPC can works effectively …

Abstract Proportional–Integral–Derivative (PID) controllers are used in many of the
Industries for various process control applications. PID controller yields a long settling time …

Model Predictive Control (MPC) is based on the idea to produce control input as a solution
to real-time optimization problem. Optimization itself is based on the system model. MPC is …

This paper applied an artificial intelligence technique to control Variable Speed in a wind
generator system. One of these techniques is an offline Artificial Neural Network (ANN …

The goal of this paper is to control the trajectory of the flight path of six degree of freedom
flying body model using Model predictive control (MPC) controller. MPC controller with …

Robot mobil adalah salah satu contoh dari wahana nir awak (WaNA) yang dapat
dikendalikan dari jauh atau memiliki sistem pengendali otomatis untuk bergerak dan …

This research paper is about developing a better type of controller, known as MPC (Model
Predictive Control) for pasteurization process plant. MPC is an advanced control strategy …

Abstract The Model Predictive Control is a methodology very used in systems with slow
dynamics like chemical process plant and supply chain. The MPC is usually used in supply …