Adaptive neural model-based fault tolerant control for multi-variable processes

• Published in: Engineering applications of artificial intelligence Vol. 18; no. 4; pp. 393 - 411
• Main Authors: Yu, D.L., Chang, T.K., Yu, D.W.
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.06.2005
• Subjects: Adaptive neural models; Continuously stirred tank reactor process; Extended Kalman filters; Fault tolerant control; Model inversion; Multi-variable systems; Multi-variable systems; Continuously stirred tank reactor process; Adaptive neural models; Model inversion; Extended Kalman filters; Fault tolerant control

An adaptive neural network model-based fault tolerant control approach for unknown non-linear multi-variable dynamic systems is proposed. A multi-layer Perceptron network is used as the process model and is adapted on-line using the extended Kalman filter to learn changes in process dynamics. In thi...