Nonlinear system identification for multivariable control via discrete-time Chen–Fliess series
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 …
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
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 …
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 …
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 …
significant impact on society. Its large-scale size and distributed sensors and actuators make …
Tremor quantification through data-driven nonlinear system modeling
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 …
symptom in several widespread neurological diseases. Being often related to a lifelong …
The Dimension Estimation Problem for Nonlinear Systems
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 …
finding the least possible dimension of the state space of a (minimal) realization of a …