A new fault isolation and identification method for nonlinear dynamic systems: application to a fermentation process

DOI10.1016/j.apm.2007.09.036zbMath1167.93330OpenAlexW2059569133MaRDI QIDQ838221

Boutaieb Dahhou, Ze-Tao Li

Publication date: 23 August 2009

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2007.09.036

zbMATH Keywords

nonlinear dynamic systemsfault identificationfermentation processfault isolationparameter intervals

Mathematics Subject Classification ID

System identification (93B30) Application models in control theory (93C95) Asymptotic stability in control theory (93D20)

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Cites Work

• Unnamed Item
• Causal fault detection and isolation based on a set-membership approach
• A new structural framework for parity equation-based failure detection and isolation
• Nonlinear observer design by approximate error linearization
• Adaptive control of a nonlinear fermentation process via MRAC technique
• Failure diagnosis and nonlinear observer. Application to a hydraulic process
• Analytical redundancy and the design of robust failure detection systems
• A geometric approach to the synthesis of failure detection filters
• A simple observer for nonlinear systems applications to bioreactors
• Adaptive observers with exponential rate of convergence
• Microbial specific growth rate control via MRAC method
• Observability and Observers for Nonlinear Systems
• An eigenstructure assignment algorithm for the design of fault detection filters
• Observer-based approach to fault detection and isolation for nonlinear systems
• A geometric approach to nonlinear fault detection and isolation
• Analytical redundancy relations for fault detection and isolation in algebraic dynamic systems