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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.
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.
Dr. Linlin Li completed her dissertation under the supervision of Prof. Steven X. Ding at the Faculty of Engineering, University of Duisburg-Essen, Germany.
Inhaltsangabe
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.
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.
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.
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.
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