@article{1469863,
      recid = {1469863},
      author = {Theilliol, Didier, and Korbicz, Józef, and Kacprzyk,  Janusz,},
      title = {Recent developments in model-based and data-driven methods  for advanced control and diagnosis /},
      pages = {1 online resource (x, 365 pages) :},
      abstract = {The book consists of recent works on several axes either  with a more theoretical nature or with a focus on  applications, which will span a variety of up-to-date  topics in the field of systems and control. The main market  area of the contributions include: Advanced fault-tolerant  control, control reconfiguration, health monitoring  techniques for industrial systems, data-driven diagnosis  methods, process supervision, diagnosis and control of  discrete-event systems, maintenance and repair strategies,  statistical methods for fault diagnosis, reliability and  safety of industrial systems artificial intelligence  methods for control and diagnosis, health-aware control  design strategies, advanced control approaches, deep  learning-based methods for control and diagnosis,  reinforcement learning-based approaches for advanced  control, diagnosis and prognosis techniques applied to  industrial problems, Industry 4.0 as well as  instrumentation and sensors. These works constitute  advances in the aforementioned scientific fields and will  be used by graduate as well as doctoral students along with  established researchers to update themselves with the state  of the art and recent advances in their respective fields.  As the book includes several applicative studies with  several multi-disciplinary contributions (deep learning,  reinforcement learning, model-based/data-based control  etc.), the book proves to be equally useful for the  practitioners as well industrial professionals.},
      url = {http://library.usi.edu/record/1469863},
      doi = {https://doi.org/10.1007/978-3-031-27540-1},
}