Dynamic Local Linear Neuro-Fuzzy Models

Author:

Nelles Oliver

Publisher

Springer International Publishing

Reference91 articles.

1. Ayoubi, M.: Nonlinear System Identification Based on Neural Networks with Locally Distributed Dynamics and Application to Technical Processes. Ph.D. Thesis, TU Darmstadt, Reihe 8: Mess-, Steuerungs- und Regelungstechnik, Nr. 591. VDI-Verlag, Düsseldorf (1996)

2. Ayoubi, M., Isermann, R.: Radial basis function networks with distributed dynamics for nonlinear dynamic system identification. In: European Congress on Intelligent Techniques and Soft Computing (EUFIT), pp. 631–635, Aachen, Germany (1995)

3. Ballé, P.: Methoden zur Fehlerdiagnose für nichtlineare Prozesse mit linearen parameterveränderlichen Modellen. Ph.D. Thesis, TU Darmstadt, Reihe 8: Mess-, Steuerungs- und Regelungstechnik. VDI-Verlag, Düsseldorf (2000)

4. Ballé, P., Fischer, M., Füssel, D., Nelles, O., Isermann, R.: Integrated control, diagnosis, and reconfiguration of a heat exchanger. IEEE Control Syst. Mag. 18(3), 52–63 (1998)

5. Ballé, P., Nelles, O.: Fault detection for a heat exchanger based on a bank of local linear fuzzy models of subprocesses. In: IFAC Symposium on Artificial Intelligence in Real-Time Control (AIRTC), pp. 606–613, Kuala Lumpur, Malaysia (1997)

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