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Model-Predictive-Control-MPC-for-Process-Systems-MatLab

PURE OCTAVE IMPLEMENTATION OF MPC (NO CONTROL PACKAGE); https://www.mycompiler.io/new/octave Simulated Predicted Outputs for Model Predictive Control (MPC) for Process Systems usig Matlab Code;

Model Predictive Control (MPC) is an advanced control methodology widely used in industrial automation and process systems. Unlike traditional controllers, MPC predicts future system behavior using a mathematical model and optimizes control inputs accordingly. This project demonstrates the implementation of MPC for a first-order plus dead-time (FOPDT) process system using Octave, without relying on external packages. The goal is to showcase MPC's ability to track setpoints, handle disturbances, and respect input constraints.

Sample Predicted Outputs;

Results-Model Predictive Control (MPC) for Process Systems