Recursive subspace system identification for parametric fault detection in nonlinear systems.
Paulo GilFábio SantosLuís Brito PalmaAlberto CardosoPublished in: Appl. Soft Comput. (2015)
Keyphrases
- fault detection
- nonlinear systems
- input output
- fault diagnosis
- fuzzy model
- fault identification
- adaptive control
- tracking control
- fuzzy systems
- fuzzy controller
- industrial processes
- fuzzy control
- learning rate
- adaptive neural control
- tennessee eastman
- control law
- robust fault detection
- recurrent neural networks
- power plant
- real time
- motion planning
- evolutionary computation
- fuzzy rules
- computer simulation
- computational intelligence
- evolutionary algorithm
- reinforcement learning
- feature extraction
- artificial intelligence
- neural network