The research provided conditions for identifiability in linear time-invariant systems without requiring prior input/output partitioning, thus broadening the applicability of data-driven methods [5].

Data-driven control represents a paradigm shift in the design and implementation of controllers for both linear and nonlinear systems. Eschewing traditional reliance on first‐principles models ...

Nonlinear systems and networks refer to physical, chemical, biological, or engineering systems and networks that have nonlinear relationships within them. Compared to linear systems and networks, the ...

The unknown nonlinear systems are lifted to higher dimensional model-free linear predictors, with approximately linear system evolution by adopting the Koopman theory. The linear quadratic control ...

However, if we linearize a nonlinear system we can use linear-estimation methods to estimate the states. In order to linearize a nonlinear system, we'll use a mathematical tool called Taylor series ...

Two teams found different ways for quantum computers to process nonlinear systems by first disguising them as linear ones.

Nonlinear Structures & Systems, Volume 1: Proceedings of the 37th IMAC, A Conference and Exposition on Structural Dynamics, 2019, the first volume of eight from the Conference brings together ...

Nonlinear systems come in all shapes and sizes. Linear dynamics is a useful abstraction, but if you look long enough at any real system you consider linear, you will discover nonlinearities. It ...