GitHub

Nonlinear Model Predictive Control (MPC) of a Differential Drive Robot in MATLAB, with Extended Kalman Filter based Sensor Fusion and State Estimation

Model Predictive Control and Extended Kalman Filter based Sensor Fusion (wheel odometry and IMU) / State Estimation for the NVIDIA Nova Carter differential-drive robot, implemented and validated in ...
Automation

Addressing the Myths of Model Predictive Control (MPC)

Manufacturers have taken notice, and many more are implementing MPC into their plants and reaping benefits.Can MPC completely displace PID in a control engineer’s toolbox? Of course not. There are ...
CU Boulder News & Events

Model Predictive Control

Model Predictive Control (MPC) is a modern feedback law that generates the control signal by solving an optimal control problem at each sampling time. This approach is capable of maximizing a certain ...
ISA

How to Use Model Predictive Control to Improve the Distillation Process

Distillation columns are extensively deployed in the chemical process industries when there is a need for separation of components that have different boiling points. Typically, a mixture of ...
IEEE

A novel FPGA implementation of a model predictive controller for SiC-based Quasi-Z-Source inverters

Abstract: This paper proposes a novel implementation of an FPGA-Based Model Predictive Control (MPC) for a SiC Quasi-Z-Source inverter. To speed-up computations, to satisfy the control requirements ...