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Fault detection and fault-tolerant control for nonlinear systems

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 recommen...

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Detalles Bibliográficos
Autor principal: Li, Linlin
Lenguaje:eng
Publicado: Springer 2016
Materias:
Acceso en línea:https://dx.doi.org/10.1007/978-3-658-13020-6
http://cds.cern.ch/record/2137868
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author Li, Linlin
author_facet Li, Linlin
author_sort Li, Linlin
collection CERN
description 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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spelling cern-21378682021-04-21T19:45:59Zdoi:10.1007/978-3-658-13020-6http://cds.cern.ch/record/2137868engLi, LinlinFault detection and fault-tolerant control for nonlinear systemsEngineeringLinlin 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.Springeroai:cds.cern.ch:21378682016
spellingShingle Engineering
Li, Linlin
Fault detection and fault-tolerant control for nonlinear systems
title Fault detection and fault-tolerant control for nonlinear systems
title_full Fault detection and fault-tolerant control for nonlinear systems
title_fullStr Fault detection and fault-tolerant control for nonlinear systems
title_full_unstemmed Fault detection and fault-tolerant control for nonlinear systems
title_short Fault detection and fault-tolerant control for nonlinear systems
title_sort fault detection and fault-tolerant control for nonlinear systems
topic Engineering
url https://dx.doi.org/10.1007/978-3-658-13020-6
http://cds.cern.ch/record/2137868
work_keys_str_mv AT lilinlin faultdetectionandfaulttolerantcontrolfornonlinearsystems