Fault Detection and Fault-Tolerant Control for Nonlinear Systems / by Linlin Li
By: Li, Linlin
Contributor(s): SpringerLink (Online service)
Material type:
E-bookPublisher: Wiesbaden : Springer Fachmedien Wiesbaden Vieweg, 2016Edition: 1st ed.Description: 1 recurso en línea (XIX, 179 páginas) : 45 ilustraciones.ISBN: 9783658130206.Subject: Control automático
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | QA402.35 L555 2016 EB (Browse shelf(Opens below)) | .i11598694 | Acceso electrónico | eBOOK .i11598694 |
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| QA402.35 2022 EB Advances in Observer Design and Observation for Nonlinear Systems : Fundamentals and Applications | QA402.35 A383 2016 EB Advances and Applications in Nonlinear Control Systems | QA402.35 .A383 2022 Model-based Nonlinear Control of Aeroengines | QA402.35 L555 2016 EB Fault Detection and Fault-Tolerant Control for Nonlinear Systems | QA402.35 N665 2017 EB Nonlinear systems : techniques for dynamical analysis and control | QA402.35 R543 2015 EB Nonlinear Control and Filtering Using Differential Flatness Approaches Applications to Electromechanical Systems | QA402.37 2021 EB Modern Trends in Controlled Stochastic Processes : Theory and Applications, V.III |
Overview of FD and FTC Technology -- Configuration of Nonlinear Observer-Based FD Systems -- Design of L2 nonlinear Observer-Based FD Systems -- Design of Weighted Fuzzy Observer-Based FD Systems -- FTC Configurations for Nonlinear Systems -- Application to Benchmark Processes.
Linlin Li addresses the analysis and design issues of observer-based FD and FTC for nonlinear systems. The author analyses the existence conditions for the nonlinear observer-based FD systems to gain a deeper insight into the construction of FD systems. Aided by the T-S fuzzy technique, she recommends different design schemes, among them the L_inf/L_2 type of FD systems. The derived FD and FTC approaches are verified by two benchmark processes. Contents Overview of FD and FTC Technology Configuration of Nonlinear Observer-Based FD Systems Design of L2 nonlinear Observer-Based FD Systems Design of Weighted Fuzzy Observer-Based FD Systems FTC Configurations for Nonlinear Systems< Application to Benchmark Processes Target Groups Researchers and students in the field of engineering with a focus on fault diagnosis and fault-tolerant control fields The Author Dr. Linlin Li completed her dissertation under the supervision of Prof. Steven X. Ding at the Faculty of Engineering, University of Duisburg-Essen, Germany.
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