which are systems whose states are always non-negative, can have both positive linear and positive nonlinear approximations that are valid dynamical models in a prescribed domain. When a linearization ...

Here, the authors use machine learning to identify unknown disturbances made to unknown systems and a methodology to suppress these disturbances to recover the undisturbed system.

The authors demonstrate that this nonlinear system provides advantages over linear optical systems for various machine learning tasks, including image classification, regression, and graph ...

Abstract: This paper addresses the semi-global output regulation problem for continuous-time linear systems ... nonlinear feedback (CNF) control law, consisting of both linear and nonlinear parts, to ...

Given the high viscosity of DES systems, we selected 100 ... which exhibits nonlinear, component-specific behaviors around the eutectic composition, driven by the microheterogeneity of the system.

Nonlinear dynamical systems are systems that can undergo sudden shifts not due to changes in their state or stability, but in response to the rate at which external conditions or parameters change.

By Alex Weprin Media & Business Writer The advertising business roared back in 2024, and is set to continue to grow in 2025 … but linear TV will be the exception that growth. That’s according ...

By The Learning Network A new collection of graphs, maps and charts organized by topic and type from our “What’s Going On in This Graph?” feature. By The Learning Network Want to learn ...