Altogether, we show how model-predictive design accelerates the engineering of genetic circuits and metabolic pathways for long-term operation with desired performances, including a 100-part genetic ...

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 show current research results on a proposed “turnkey” model predictive control design procedure whereby all the controller tuning parameters can be systematically determined from system ...

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 ...

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 ...

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 ...

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.

The most common automated multivariable control technology in use today is model-predictive control (MPC). Prominent characteristics of MPC include the use of detailed process models, embedded ...

In order to improve the accuracy of energy optimization control of underwater vehicle and improve the running stability of underwater vehicle, an energy optimization control method of underwater ...

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 ...