Nonlinear control systems and methods address the complexities inherent in systems whose outputs are not directly proportional to their inputs. These approaches involve a range of strategies – from ...

Sometimes, it’s easy for a computer to predict the future. Simple phenomena, such as how sap flows down a tree trunk, are straightforward and can be captured in a few lines of code using what ...

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

Learn to apply control systems in automotive, energy, aerospace, robotics, and manufacturing sectors. Apply feedback control laws to stabilize systems and achieve performance goals. Control systems ...

Sum-frequency generation (SFG) is a powerful vibrational spectroscopy that can selectively probe molecular structures at ...

As a follow-on course to "Linear Kalman Filter Deep Dive", this course derives the steps of the extended Kalman filter and the sigma-point Kalman filter for estimating the state of nonlinear dynamic ...

Topological photonics promises robust light transport immune to disorder, but existing linear systems are essentially static ...

The Nonlinear Systems and Control group is seeking a talented and ambitious Postdoctoral Researcher to develop machine learning-enabled approaches for predictive modelling and state estimation for ...

"Our nonlinear system transmits quantum information with 94% fidelity, compared to the theoretical limit of 33% on systems using linear optical components," said Kejie Fang, an Illinois professor of ...