Nonlinear Dynamics has been applied to Point Process Systems profitably. Such systems manifest themselves by Series of Events in space or time that are then ...

NONLINEAR DYNAMICS OF POINT PROCESS SYSTEMS AND DATA. · Segundo, José Pedro · Nonlinear Dynamics has been applied to Point Process Systems profitably.

Nonlinear Dynamics has been applied to Point Process Systems profitably. Such systems manifest themselves by Series of Events in space or time that are then ...

Sep 28, 2024 · This work falls into the field of discovering the dynamic equations of stabilizable nonlinear systems, via a learning-and-control algorithm ...

Background. Neural information processing involves a series of nonlinear dynamical input/output transformations between the spike trains of neurons/neuronal ...

Abstract. This paper discusses recent developments in the data-based modeling and control of nonlinear chemical pro- cess systems using sparse ...

A methodology for nonlinear modeling of multi-input multi-output (MIMO) neuronal systems is presented that utilizes the concept of Principal Dynamic Modes ...

Mar 1, 2022 · This article focuses on developing an accurate data collection methodology as well as recommendations for nonlinear testing with DIC.

Mar 28, 2016 · In this work, we combine sparsity-promoting techniques and machine learning with nonlinear dynamical systems to discover governing equations ...

Step-by-step model reduction procedures are developed to derive nonlinear reduced models of the dynamics in each time scale. Hierarchical control architectures ...