IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v15y2018i4p649-d139022.html
   My bibliography  Save this article

Robust Economic Control Decision Method of Uncertain System on Urban Domestic Water Supply

Author

Listed:
  • Kebai Li

    (School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China)

  • Tianyi Ma

    (School of Management Science and Engineering, Nanjing University of Information Science & Technology, Nanjing 210044, China)

  • Guo Wei

    (Department of Mathematics and Computer Science, University of North Carolina at Pembroke, Pembroke, NC 28372, USA)

Abstract

As China quickly urbanizes, urban domestic water generally presents the circumstances of both rising tendency and seasonal cycle fluctuation. A robust economic control decision method for dynamic uncertain systems is proposed in this paper. It is developed based on the internal model principle and pole allocation method, and it is applied to an urban domestic water supply system with rising tendency and seasonal cycle fluctuation. To achieve this goal, first a multiplicative model is used to describe the urban domestic water demand. Then, a capital stock and a labor stock are selected as the state vector, and the investment and labor are designed as the control vector. Next, the compensator subsystem is devised in light of the internal model principle. Finally, by using the state feedback control strategy and pole allocation method, the multivariable robust economic control decision method is implemented. The implementation with this model can accomplish the urban domestic water supply control goal, with the robustness for the variation of parameters. The methodology presented in this study may be applied to the water management system in other parts of the world, provided all data used in this study are available. The robust control decision method in this paper is also applicable to deal with tracking control problems as well as stabilization control problems of other general dynamic uncertain systems.

Suggested Citation

  • Kebai Li & Tianyi Ma & Guo Wei, 2018. "Robust Economic Control Decision Method of Uncertain System on Urban Domestic Water Supply," IJERPH, MDPI, vol. 15(4), pages 1-15, March.
  • Handle: RePEc:gam:jijerp:v:15:y:2018:i:4:p:649-:d:139022
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/15/4/649/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/15/4/649/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Al-Alawi, Ali & M Al-Alawi, Saleh & M Islam, Syed, 2007. "Predictive control of an integrated PV-diesel water and power supply system using an artificial neural network," Renewable Energy, Elsevier, vol. 32(8), pages 1426-1439.
    2. Pumphrey, R. Gary & Edwards, Jeffrey A. & Becker, Klaus G., 2008. "Urban and rural attitudes toward municipal water controls: A study of a semi-arid region with limited water supplies," Ecological Economics, Elsevier, vol. 65(1), pages 1-12, March.
    3. Kallis, Giorgos, 2010. "Coevolution in water resource development: The vicious cycle of water supply and demand in Athens, Greece," Ecological Economics, Elsevier, vol. 69(4), pages 796-809, February.
    4. Choi, Jong Min, 2013. "Study on the LWT control schemes of a heat pump for hot water supply," Renewable Energy, Elsevier, vol. 54(C), pages 20-25.
    5. Dale Whittington & Donald T. Lauria & Vimalanand Prabhu & Joe Cook, 2004. "An economic reappraisal of the Melamchi water supply project - Kathmandu, Nepal," Portuguese Economic Journal, Springer;Instituto Superior de Economia e Gestao, vol. 3(2), pages 157-178, September.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ning Zhang & Zaiwu Gong & Kedong Yin & Yuhong Wang, 2018. "Special Issue “Decision Models in Green Growth and Sustainable Development”," IJERPH, MDPI, vol. 15(6), pages 1-8, May.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Jeffrey A. Edwards & Tara R. Wade & Mark L. Burkey & R. Gary Pumphrey, 2014. "Forecasting the Public's Acceptability of Municipal Water Regulation and Price Rationing for Communities on the Ogallala Aquifer," Journal of Economic Insight, Missouri Valley Economic Association, vol. 40(1), pages 1-30.
    2. Daniel Coq-Huelva & Angie Higuchi & Rafaela Alfalla-Luque & Ricardo Burgos-Morán & Ruth Arias-Gutiérrez, 2017. "Co-Evolution and Bio-Social Construction: The Kichwa Agroforestry Systems ( Chakras ) in the Ecuadorian Amazonia," Sustainability, MDPI, vol. 9(10), pages 1-19, October.
    3. Ríos-Núñez, Sandra M. & Coq-Huelva, Daniel & García-Trujillo, Roberto, 2013. "The Spanish livestock model: A coevolutionary analysis," Ecological Economics, Elsevier, vol. 93(C), pages 342-350.
    4. Greenberg David H., 2013. "A cost-benefit analysis of Tulsa’s IDA program," Journal of Benefit-Cost Analysis, De Gruyter, vol. 4(3), pages 263-300, December.
    5. Andreas Nicolaidis Lindqvist & Rickard Fornell & Thomas Prade & Linda Tufvesson & Sammar Khalil & Birgit Kopainsky, 2021. "Human-Water Dynamics and their Role for Seasonal Water Scarcity – a Case Study," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 35(10), pages 3043-3061, August.
    6. Ussama Assad & Muhammad Arshad Shehzad Hassan & Umar Farooq & Asif Kabir & Muhammad Zeeshan Khan & S. Sabahat H. Bukhari & Zain ul Abidin Jaffri & Judit Oláh & József Popp, 2022. "Smart Grid, Demand Response and Optimization: A Critical Review of Computational Methods," Energies, MDPI, vol. 15(6), pages 1-36, March.
    7. Kashyap, Yashwant & Bansal, Ankit & Sao, Anil K., 2015. "Solar radiation forecasting with multiple parameters neural networks," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 825-835.
    8. Bethany Cooper & Michael Burton & Lin Crase, 2019. "Willingness to Pay to Avoid Water Restrictions in Australia Under a Changing Climate," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 72(3), pages 823-847, March.
    9. Mohammed, Ammar & Pasupuleti, Jagadeesh & Khatib, Tamer & Elmenreich, Wilfried, 2015. "A review of process and operational system control of hybrid photovoltaic/diesel generator systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 44(C), pages 436-446.
    10. Kristin Cockerill & Pete Groothuis & Tanga Mohr & Courtney Cooper, 2014. "Individual water: Water source as an indicator of attitudes about water management and conservation in rural regions," Working Papers 14-04, Department of Economics, Appalachian State University.
    11. Li, Chennan & Goswami, Yogi & Stefanakos, Elias, 2013. "Solar assisted sea water desalination: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 19(C), pages 136-163.
    12. Bjornlund, H. & Xu, W. & Wheeler, S., 2014. "An overview of water sharing and participation issues for irrigators and their communities in Alberta: Implications for water policy," Agricultural Water Management, Elsevier, vol. 145(C), pages 171-180.
    13. Jha, Sunil Kr. & Bilalovic, Jasmin & Jha, Anju & Patel, Nilesh & Zhang, Han, 2017. "Renewable energy: Present research and future scope of Artificial Intelligence," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 297-317.
    14. Paavola, Jouni, 2011. "Reprint of: Sewage Pollution and Institutional and Technological Change in the United States, 1830-1915," Ecological Economics, Elsevier, vol. 70(7), pages 1289-1296, May.
    15. Edwards, Jeffrey A. & Pumphrey, R. Gary & Barbato, Lucia & Kurkalova, Lyubov A. & Burkey, Mark L., 2012. "Building a simple general model of municipal water conservation policy for communities overlying the Ogallala Aquifer," MPRA Paper 41750, University Library of Munich, Germany.
    16. Zahraee, S.M. & Khalaji Assadi, M. & Saidur, R., 2016. "Application of Artificial Intelligence Methods for Hybrid Energy System Optimization," Renewable and Sustainable Energy Reviews, Elsevier, vol. 66(C), pages 617-630.
    17. F. Gonçalves & L. Costa & Helena Ramos, 2011. "ANN for Hybrid Energy System Evaluation: Methodology and WSS Case Study," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(9), pages 2295-2317, July.
    18. Gerardo Marletto, 2012. "Which Conceptual Foundations For Environmental Policies? An Institutional And Evolutionary Framework Of Economic Change," Working Papers 0112, CREI Università degli Studi Roma Tre, revised 2012.
    19. Vasudevan, Krishnakumar R. & Ramachandaramurthy, Vigna K. & Venugopal, Gomathi & Ekanayake, J.B. & Tiong, S.K., 2021. "Variable speed pumped hydro storage: A review of converters, controls and energy management strategies," Renewable and Sustainable Energy Reviews, Elsevier, vol. 135(C).
    20. Ilaria Zambon & Pere Serra & Rosanna Salvia & Luca Salvati, 2018. "Fallow Land, Recession and Socio-Demographic Local Contexts: Recent Dynamics in a Mediterranean Urban Fringe," Agriculture, MDPI, vol. 8(10), pages 1-17, October.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:15:y:2018:i:4:p:649-:d:139022. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.