Koopman-based deep iISS bilinear parity approach for data-driven fault diagnosis: Experimental demonstration using three-tank system
Author:
Publisher
Elsevier BV
Subject
Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering
Reference49 articles.
1. Data-driven sensor fault detection and isolation of nonlinear systems: Deep neural-network Koopman operator;Bakhtiaridoust;IET Control Theory & Applications,2023
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3. Model-free geometric fault detection and isolation for nonlinear systems using koopman operator;Bakhtiaridoust;IEEE Access,2022
4. Fault detection and diagnosis of nonlinear dynamical processes through correlation dimension and fractal analysis based dynamic kernel PCA;Bounoua;Chemical Engineering Science,2021
5. Advantages of bilinear Koopman realizations for the modeling and control of systems with unknown dynamics;Bruder;IEEE Robotics and Automation Letters,2021
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1. Multi-objective optimization of building HVAC operation: Advanced strategy using Koopman predictive control and deep learning;Building and Environment;2024-01
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