Front Matter -- Nonlinear Methods for Fault Diagnosis / Silvio Simani, Paolo Castaldi -- Linear Parameter Varying Methods / Mickael Rodrigues, Habib Hamdi, Didier Theilliol -- Fuzzy and Neural Network Approaches / Marcin Witczak, Marcin Pazera, Norbert Kukurowski, Marcin Mrugalski -- Model Predictive Control Methods / Krzysztof Patan -- Nonlinear Modeling for Fault-tolerant Control / Silvio Simani, Paolo Castaldi -- Vrtual Sensors and Actuators / Damiano Rotondo, Vicenc Puig -- Conclusions / Vicenc Puig, Silvio Simani -- Open Research Issues / Vicenc Puig, Silvio Simani.

Includes index.

Online resource; title from PDF title page (John Wiley, viewed December 13, 2021).

This book presents recent advances in fault diagnosis and fault-tolerant control of dynamic processes. Its impetus derives from the need for an overview of the challenges of the fault diagnosis technique and sustainable control, especially for those demanding systems that require reliability, availability, maintainability, and safety to ensure efficient operations. Moreover, the need for a high degree of tolerance with respect to possible faults represents a further key point, primarily for complex systems, as modeling and control are inherently challenging, and maintenance is both expensive and safety-critical. Diagnosis and Fault-tolerant Control 2 also presents and compares different fault diagnosis and fault-tolerant schemes, using well established, innovative strategies for modeling the behavior of the dynamic process under investigation. An updated treatise of diagnosis and fault-tolerant control is addressed with the use of essential and advanced methods including signal-based, model-based and data-driven techniques. Another key feature is the application of these methods for dealing with robustness and reliability.

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