The Implementation and the Design of a Hybriddigital PI Control Strategy Based on MISO Adaptive Neural Network Fuzzy Inference System Models–A MIMO Centrifugal Chiller Case Study-Reference-Cited by-同舟云学术

The Implementation and the Design of a Hybriddigital PI Control Strategy Based on MISO Adaptive Neural Network Fuzzy Inference System Models–A MIMO Centrifugal Chiller Case Study

Published:2020 Issue: Volume: Page:215-235
ISSN:2662-3447
Container-title:Learning and Analytics in Intelligent Systems
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Author:

Tudoroiu Roxana-Elena,Zaheeruddin Mohammed,Radu Sorin Mihai,Burdescu Dumitru Dan,Tudoroiu Nicolae

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-49724-8_9

Reference18 articles.

1. R-E. Tudoroiu, M. Zaheeruddin, N. Tudoroiu, D.D. Burdescu, MATLAB Implementation of an Adaptive Neuro-Fuzzy Modeling Approach applied on Nonlinear Dynamic Systems–a Case Study, in Proceedings of the Federated Conference on Computer Science and Information Systems, Poznan, Poland, vol. 15 (2018), pp. 577–583

2. N. Tudoroiu, M. Zaheeruddin, S. Li, R.-E. Tudoroiu, Design and implementation of closed-loop PI control strategies in real-time MATLAB simulation environment for nonlinear and linear ARMAX models of HVAC centrifugal chiller control systems. Adv. Sci. Technol. Eng. Syst. J. 3(2), 283–308 (2018)

3. J.M. Zurada, Introduction to Artificial Neural Networks, 1st edn. (West Publishing company, St. Paul, USA, 1992)

4. M. Zaheeruddin, N. Tudoroiu, Neuro-PID tracking control of a discharge air temperature system, Elsevier. Energy Convers. Manag. 45, 2405–2415 (2004)

5. S.M. Radu, R.-E. Tudoroiu, W. Kecs, N. Ilias, N. Tudoroiu, Real time implementation of an improved hybrid fuzzy sliding mode observer estimator. Adv. Sci. Technol. Eng. Syst. J. 2(1), 214–226 (2017)