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 ...

Many frequently observed real-world phenomena are nonlinear in nature. This means that their output does not change in a manner that is proportional to their input. These models have a degree of ...

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 ...

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

Scientists developed a reconfigurable topological photonic system that steers light in real time using optical pumping, ...

This study comes from Prof. Duanduan Wan and Prof. Meng Xiao group at the School of Physics of Wuhan University. This work provides a simple while intuitive example by demonstrating with both theory ...

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 ...

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 ...