The basics of model predictive control In a nutshell, Model Predictive Control uses the past commanded profile to predict future torque and speed.

Models and modeling software gain a foothold in solid-dosage manufacturing process design. ALENGO/GETTY IMAGES; DAN WARDUsing model-predictive design to define, predict, and control a process is ...

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 ...

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 ...

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 ...

Control with model predictive methods By William Poe Distillation columns are extensively deployed in the chemical process industries when there is a need for separation of components that have ...

We discuss the interplay between the electrical and mechanical design choices, the modeling of the wheel's hybrid (continuous and discrete) dynamic behavior, and the implementation of a model ...

Xinyin Xu, Baochuan Fu, Zhengtian Wu, Guang Sun, Predictive control for indoor environment based on thermal adaptation, Science Progress (1933-), Vol. 104, No. 2 (2021), pp. 1-25 ...

This study is promising in that closed-loop control with a pregnancy-specific zone model predictive control algorithm improves time in range 63 mg/dL to 140 mg/dL.