Genetic programming based approaches to identification and fault diagnosis of non-linear dynamic systems

DOI10.1080/00207170210156224zbMath1028.93009OpenAlexW2048778732MaRDI QIDQ4804439

Józef Korbicz, Andrzej Obuchowicz, Marcin Witczak

Publication date: 22 January 2004

Published in: International Journal of Control (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00207170210156224

zbMATH Keywords

system identificationnonlinear systemfault diagnosisgenetic programmingfault detection observer

Mathematics Subject Classification ID

Reliability, availability, maintenance, inspection in operations research (90B25) System identification (93B30) Nonlinear systems in control theory (93C10)

Related Items (2)

Design of an extended unknown input observer with stochastic robustness techniques and evolutionary algorithms ⋮ Selected Estimation Strategies for Fault Diagnosis of Nonlinear Systems

Uses Software

• Genocop
• Schittkowski
• System Identification Toolbox

Cites Work

• A strong tracking extended Kalman observer for nonlinear discrete-time systems
• Optimal sensor location for parameter estimation of distributed processes
• General approach to stability and stabilization for a class of uncertain discrete non-linear systems
• Design of unknown input observers and robust fault detection filters
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