Control engineering plays a pivotal role in understanding and designing systems ranging from biological feedback loops to ...

Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...

Abstract: The Linear Parameter Varying Dynamical System (LPV-DS) is an effective approach that learns stable, time-invariant motion policies using statistical modeling and semi-definite optimization ...

Abstract: System identification is a vital aspect of modern control and automation, offering a pathway to develop mathematical models from observed input-output data of dynamic systems. This paper ...

Duke University engineers are using artificial intelligence to do something scientists have chased for centuries; turn messy, real-world motion into simple rules you can write down. The work comes ...

ABSTRACT: The relationship between classical and quantum statistical mechanics is considered in the issue of the irreversibility of evolutionary processes described using the formalism of wave ...