Nonlinear system identification for multivariable control via discrete-time Chen–Fliess series

WS Gray, GS Venkatesh, LAD Espinosa - Automatica, 2020 - Elsevier
The nonlinear system identification problem is solved for a multivariable nonlinear input–
output system that can be represented in terms of a Chen–Fliess functional expansion. The …

Real-time identification of fuzzy PID-controlled maglev system using TLBO-based functional link artificial neural network

AK Sahoo, SK Mishra, B Majhi, G Panda… - Arabian Journal for …, 2021 - Springer
In this paper, the teaching–learning-based optimization-based functional link artificial neural
network (FLANN) has been proposed for the real-time identification of Maglev system. This …

Continuity of formal power series products in nonlinear control theory

WS Gray, M Palmstrøm, A Schmeding - Foundations of Computational …, 2023 - Springer
Formal power series products appear in nonlinear control theory when systems modeled by
Chen–Fliess series are interconnected to form new systems. In fields like adaptive control …

Zero Dynamics Attacks on Unknown Bilinear Systems: Vulnerability and Detection

MA Haq - 2024 - search.proquest.com
Critical infrastructure requires a safe and secure operating environment because of its
significant impact on society. Its large-scale size and distributed sensors and actuators make …

Tremor quantification through data-driven nonlinear system modeling

A Medvedev, F Olsson, T Wigren - 2017 IEEE 56th Annual …, 2017 - ieeexplore.ieee.org
Tremor is a repetitive uncontrollable movement of a body part that represents a cardinal
symptom in several widespread neurological diseases. Being often related to a lifelong …

The Dimension Estimation Problem for Nonlinear Systems

A Padoan, A Astolfi - 2018 European Control Conference (ECC …, 2018 - ieeexplore.ieee.org
We consider the dimension estimation problem for nonlinear systems, that is, the problem of
finding the least possible dimension of the state space of a (minimal) realization of a …