Researchers at Durham University have developed a new system that enables drones to fly in precisely coordinated swarm ...

Model Predictive Control (MPC) has emerged as a leading strategy in advanced process control, offering the ability to anticipate future process behaviour and manage constraints in dynamic systems.

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 ...

Model predictive control (MPC) is a well-established technology for multivariable processes that was originally developed in the 1970s with the introduction of digital computer-based control systems.

In a groundbreaking advancement for motor control, Model-Free Predictive Control (MFPC) technology has emerged as a revolutionary advancement. This innovative approach enables motors to operate ...

This article presents the development of coordinated control of throttle, spark advance, and variable valve timing (VVT) in a model predictive control (MPC) framework for engine idle speed control ...

An international research team has tested a hybrid control technique combining adapted perturb and observe (APO) with model-predictive control to address complex partial shading in solar arrays ...

The findings show that a predictive control system powered by a learned “tactile forward model” allows robots to anticipate when an object is likely to slip, continuously analysing its planned ...

Model-predictive control is a proven solution that: Responds predictively to dynamic conditions caused by constant load changes.

In this article, a model predictive self-tuning regulator (MP-STR) with adaptive variable functioning (AVF) is designed for fuel injection feedback control. Proper control of wall-wetting effects in ...