@article{1432655,
      recid = {1432655},
      author = {Ding, Steven X.,},
      title = {Advanced methods for fault diagnosis and fault-tolerant  control /},
      pages = {1 online resource (664 pages)},
      abstract = {After the first two books have been dedicated to  model-based and data-driven fault diagnosis respectively,  this book addresses topics in both model-based and  data-driven thematic fields with considerable focuses on  fault-tolerant control issues and application of machine  learning methods. The major objective of the book is to  study basic fault diagnosis and fault-tolerant control  problems and to build a framework for long-term research  efforts in the fault diagnosis and fault-tolerant control  domain. In this framework, possibly unified solutions and  methods can be developed for general classes of systems.  The book is composed of six parts. Besides Part I serving  as a common basis for the subsequent studies, Parts II - VI  are dedicated to five different thematic areas, including  model-based fault diagnosis methods for linear time-varying  systems, nonlinear systems and systems with model  uncertainties, statistical and data-driven fault diagnosis  methods, assessment of fault diagnosis systems, as well as  fault-tolerant control with a strong focus on performance  degradation monitoring and recovering. These parts are  self-contained and so structured that they can also be used  for self-study on the concerned topics. The content Basic  requirements on fault detection and estimation Basic  methods for fault detection and estimation in static and  dynamic processes Feedback control, observer, and residual  generation Fault detection and estimation for linear  time-varying systems Detection and isolation of  multiplicative faults in uncertain systems Analysis,  parameterisation and optimal design of nonlinear  observer-based fault detection systems Data-driven fault  detection methods for large-scale and distributed systems  Alternative test statistics and data-driven fault detection  methods Application of randomised algorithms to assessment  and design of fault diagnosis systems Performance-based  fault-tolerant control Performance degradation monitoring  and recovering Data-driven fault-tolerant control schemes  The target groups This book would be valuable for graduate  and PhD students as well as for researchers and engineers  in the field. The author Prof. Dr.-Ing. Steven X. Ding is a  professor and the head of the Institute for Automatic  Control and Complex Systems (AKS), University of  Duisburg-Essen, Germany. His research interests are  model-based and data-driven fault diagnosis, control and  fault-tolerant systems as well as their applications in  industry with a focus on automotive systems, chemical  processes and renewable energy systems.},
      url = {http://library.usi.edu/record/1432655},
      doi = {https://doi.org/10.1007/978-3-662-62004-5},
}