Open Access
| Issue |
MATEC Web Conf.
Volume 210, 2018
22nd International Conference on Circuits, Systems, Communications and Computers (CSCC 2018)
|
|
|---|---|---|
| Article Number | 02002 | |
| Number of page(s) | 6 | |
| Section | Systems | |
| DOI | https://doi.org/10.1051/matecconf/201821002002 | |
| Published online | 05 October 2018 | |
- R. Katebi, M. A. Johnson, and J. Wilkie, Control and instrumentation for wastewater treatment plants, Springer, London (2012). [Google Scholar]
- St. Iordache, N. Petrescu, C. Necula, G. Busuioc, Municipal Wastewater Treatment Improvement Using Computer Simulating, Advances in Waste Management, Proceedings of the 4th WSEAS International Conference WWAI’10, pp. 95-100, (2010) [Google Scholar]
- I. Naşcu, G. Vlad, S. Folea, T. Buzdugan, Development and application of a PID auto-tuning method to a wastewater treatment process. 2008 IEEE International Conference AQTR - Proceedings, pp. 229-234, (2008). [Google Scholar]
- J. Kocijan, N. Hvala, S. Strmčnik, Multi-model Control of Wastewater Treatment Reactor, System and Control, pp. 49-54, (2000) [Google Scholar]
- G. Vlad, R. Crişan, B. Mureşan, I. Naşcu, C. Darab, Development and application of a predictive adaptive controller to a wastewater treatment process. 2010 IEEE International Conference AQTR - Proceedings, pp. 219-224, (2010) [Google Scholar]
- S. Mirghasemi, C. J. B Macnab, A. Chu, Dissolved oxygen control of activated sludge biorectors using neural-adaptive control, IEEE Symposium on Computational Intelligence in Control and Automation, pp. 1-6, (2014) [Google Scholar]
- B. Holenda, E. Domokos, A. Redey, J. Fazakas, “Dissolved oxygen control of the activated sludge wastewater treatment process using model predictive control,” Computers & Chemical Engineering, pp. 1270-1278, 2008 [CrossRef] [Google Scholar]
- Ioana Naşcu, Ioan Naşcu, Modelling and optimization of an activated sludge wastewater treatment process, Computer Aided Chemical Engineering, Vol. 38, Pp 1159-1164, (2016) [CrossRef] [Google Scholar]
- C. Belchior, R. Araújo, J. Landeck, Dissolved oxygen control of the activated sludge wastewater treatment process using stable adaptive fuzzy control, Computers & Chemical Engineering, Vol. 37, pp 152-162, (2012) [CrossRef] [Google Scholar]
- G. Harja, Ioana Nascu, C. Muresan, Ioan Nascu, Improvements in Dissolved Oxygen Control of an Activated Sludge Wastewater Treatment Process, Circuits Systems and Signal Processing, vol.35, Issue 6, pp 2259-2281, (2016) [CrossRef] [Google Scholar]
- B. Humoreanu, I. Nascu, Wastewater treatment plant SCADA application, Proceedings of 2012 IEEE-TTTC Int. Conf. AQTR, Pages:575-580, ISBN 978-1-4673-0701-7, (2012) [Google Scholar]
- P. Vega, S. Revollar, M. Francisco, J.M. Martín, Integration of setpoint optimization techniques into nonlinear MPC for improving the operation of WWTPs, Computers & Chemical Engineering, vol. 68, pp. 78-95, Sept., (2014) [CrossRef] [Google Scholar]
- I. Santín, C. Pedret, R. Vilanova, Model predictive control and fuzzy control in a hierarchical structure for wastewater treatment plants, 18th Int. Conf. on Sys. Theory, Contr. and Comp. (ICSTCC), pp. 375-380, Oct., (2014) [CrossRef] [Google Scholar]
- MA Brdys, M Grochowski, T Gminski, K Konarczak, M Drewa, Hierarchical predictive control of integrated wastewater treatment systems. Control Engineering Practice 16 (6), 751-767, (2008). [CrossRef] [Google Scholar]
- I. Birs, Ioana Nascu, C. Darab, Ioan Nascu, Modelling and calibration of a conventional activated sludge wastewater treatment plant, 2016 IEEE International Conference AQTR, pp: 1-6, DOI: 10.1109/AQTR.2016.7501327, (2016) [Google Scholar]
- Clarke, D.W., Mohtadi, C., Tufs, P.S., Generalized predictive control-Part I, Automatica, Vol.23, pp.137, (1987). [CrossRef] [Google Scholar]
- Clarke, D.W., Mohtadi, C., Tufs, P.S., Generalized predictive control-Part II, Automatica, Vol.23, pp.149, (1987). [CrossRef] [Google Scholar]
- Ioana Naşcu, Ioan Naşcu, Improving Activated Sludge Wastewater Treatment Process Efficiency Using Predictive Control, Advances in Technology Innovation(AITI), Vol.3 No.2, (2018) [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.