Details

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.

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

<div>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.&nbsp;</div><div><br></div><div><b>Contents</b></div><div><ul><li>Overview of FD and FTC Technology</li><li>Configuration of Nonlinear Observer-Based FD Systems</li><li>Design of L2 nonlinear Observer-Based FD Systems&nbsp;</li><li>Design of Weighted Fuzzy Observer-Based FD Systems</li><li>FTC Configurations for Nonlinear Systems&lt;</li><li>Application to Benchmark Processes</li></ul></div><div><b><br></b><div><b>Target Groups</b></div><div>Researchers and students in the field of engineering with a focus on fault diagnosis and fault-tolerant control fields</div><div><b><br></b></div><div><b>The Author</b></div><div>Dr. Linlin Li completed her dissertation under the supervision of Prof. Steven X. Ding at the Faculty of Engineering, University of Duisburg-Essen, Germany.</div><div><br></div></div>

Publication in the field of technical sciences Includes supplementary material: sn.pub/extras