Sinopsis
Introduction.- Objectives, tasks, and basic concepts.- An introduction to the representative technical processes.- Data-driven realization of the basic GLR scheme.- Principal component analysis, its variations and applications.- Partial least squares, its variations and applications.- Introduction of advanced methods addressing nonlinear issues.- Control theoretical preliminaries.- Identification of residual generators and open-loop fault detection and diagnosis schemes.- Data-driven design of observer-based fault detection and diagnosis systems.- Preliminaries of probabilistic theory.- Statistical performance evaluation schemes.- Case study.- Data-driven design and implementation of an observer-based fault-tolerant control scheme.- An adaptive fault-tolerant control scheme.- An iterative tuning based fault-tolerant control scheme.
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