Linlin Li addresses the analysis and design issues ofobserver-based FD and FTC for nonlinear systems. The author analyses theexistence conditions for the nonlinear observer-based FD systems to gain adeeper insight into the construction of FD systems. Aided by the T-S fuzzytechnique, she recommends different design schemes, among them the L_inf/L_2type of FD systems. The derived FD and FTC approaches are verified by twobenchmark processes.
Linlin Li addresses the analysis and design issues ofobserver-based FD and FTC for nonlinear systems. The author analyses theexistence conditions for the nonlinear observer-based FD systems to gain adeeper insight into the construction of FD systems. Aided by the T-S fuzzytechnique, she recommends different design schemes, among them the L_inf/L_2type of FD systems. The derived FD and FTC approaches are verified by twobenchmark 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.
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