IDEAS home Printed from https://ideas.repec.org/a/hin/complx/1708935.html
   My bibliography  Save this article

Exponential Stabilization of Coupled Hybrid Stochastic Delayed BAM Neural Networks: A Periodically Intermittent Control Method

Author

Listed:
  • Yunjian Peng
  • Birong Zhao
  • Weijie Sun
  • Feiqi Deng

Abstract

This paper considers exponential stabilization for a class of coupled hybrid stochastic delayed bidirectional associative memory neural networks (HSD-BAM-NN) with reaction-diffusion terms. A periodically intermittent controller is proposed to exponentially stabilize such an unstable HSD-BAM-NN, and sufficient conditions of the closed-loop BAM-NN system with exponential stabilization are derived by using Lyapunov-Krasovskii functional method, stochastic analysis techniques, and integral inequality property, which decide the basic parameters of the proposed controller. Furthermore, a framework to establish simulation algorithm with sampled states is presented to implement the stabilization controller. With a HSD-BAM-NN model of power synchronization in a photovoltaic (PV) array field, we illustrate numerical simulation results to verify the correctness and effectiveness of the proposed controller.

Suggested Citation

  • Yunjian Peng & Birong Zhao & Weijie Sun & Feiqi Deng, 2018. "Exponential Stabilization of Coupled Hybrid Stochastic Delayed BAM Neural Networks: A Periodically Intermittent Control Method," Complexity, Hindawi, vol. 2018, pages 1-14, December.
    • Handle: RePEc:hin:complx:1708935
    DOI: 10.1155/2018/1708935
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/8503/2018/1708935.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/8503/2018/1708935.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2018/1708935?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Lou, Xuyang & Cui, Baotong & Wu, Wei, 2008. "On global exponential stability and existence of periodic solutions for BAM neural networks with distributed delays and reaction–diffusion terms," Chaos, Solitons & Fractals, Elsevier, vol. 36(4), pages 1044-1054.
    2. Yiming Jiang & Chenguang Yang & Jing Na & Guang Li & Yanan Li & Junpei Zhong, 2017. "A Brief Review of Neural Networks Based Learning and Control and Their Applications for Robots," Complexity, Hindawi, vol. 2017, pages 1-14, October.
    3. Cui, Bao Tong & Lou, Xu Yang, 2006. "Global asymptotic stability of BAM neural networks with distributed delays and reaction–diffusion terms," Chaos, Solitons & Fractals, Elsevier, vol. 27(5), pages 1347-1354.
    4. Singh, G.K., 2013. "Solar power generation by PV (photovoltaic) technology: A review," Energy, Elsevier, vol. 53(C), pages 1-13.
    Full references (including those not matched with items on IDEAS)

    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. Chu, Yinghao & Li, Mengying & Coimbra, Carlos F.M., 2016. "Sun-tracking imaging system for intra-hour DNI forecasts," Renewable Energy, Elsevier, vol. 96(PA), pages 792-799.
    2. Guo, Siyu & Walsh, Timothy Michael & Peters, Marius, 2013. "Vertically mounted bifacial photovoltaic modules: A global analysis," Energy, Elsevier, vol. 61(C), pages 447-454.
    3. Aste, Niccolò & Del Pero, Claudio & Leonforte, Fabrizio & Manfren, Massimiliano, 2013. "A simplified model for the estimation of energy production of PV systems," Energy, Elsevier, vol. 59(C), pages 503-512.
    4. Liu, Shen & Colson, Gregory & Hao, Na & Wetzstein, Michael, 2018. "Toward an optimal household solar subsidy: A social-technical approach," Energy, Elsevier, vol. 147(C), pages 377-387.
    5. Guan, Yanling & Zhang, Hao & Xiao, Bin & Zhou, Zhi & Yan, Xuzhou, 2017. "In-situ investigation of the effect of dust deposition on the performance of polycrystalline silicon photovoltaic modules," Renewable Energy, Elsevier, vol. 101(C), pages 1273-1284.
    6. Kamjoo, Azadeh & Maheri, Alireza & Putrus, Ghanim A., 2014. "Chance constrained programming using non-Gaussian joint distribution function in design of standalone hybrid renewable energy systems," Energy, Elsevier, vol. 66(C), pages 677-688.
    7. Tholkappiyan Ramachandran & Abdel-Hamid I. Mourad & Fathalla Hamed, 2022. "A Review on Solar Energy Utilization and Projects: Development in and around the UAE," Energies, MDPI, vol. 15(10), pages 1-27, May.
    8. Wang, Huiwei & Song, Qiankun & Duan, Chengjun, 2010. "LMI criteria on exponential stability of BAM neural networks with both time-varying delays and general activation functions," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 81(4), pages 837-850.
    9. Sheng, Li & Yang, Huizhong, 2009. "Robust stability of uncertain Markovian jumping Cohen–Grossberg neural networks with mixed time-varying delays," Chaos, Solitons & Fractals, Elsevier, vol. 42(4), pages 2120-2128.
    10. Muhsen, Dhiaa Halboot & Khatib, Tamer & Nagi, Farrukh, 2017. "A review of photovoltaic water pumping system designing methods, control strategies and field performance," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 70-86.
    11. Rawat, Rahul & Kaushik, S.C. & Lamba, Ravita, 2016. "A review on modeling, design methodology and size optimization of photovoltaic based water pumping, standalone and grid connected system," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 1506-1519.
    12. Khandelwal, Akshat & Maarisetty, Dileep & Baral, Saroj Sundar, 2022. "Fundamentals and application of single-atom photocatalyst in sustainable energy and environmental applications," Renewable and Sustainable Energy Reviews, Elsevier, vol. 167(C).
    13. Dong, Liwei & Zuo, Jianyong & Wang, Tianpeng & Xue, Wenbin & Wang, Ping & Li, Jun & Yang, Fan, 2022. "Enhanced piezoelectric harvester for track vibration based on tunable broadband resonant methodology," Energy, Elsevier, vol. 254(PA).
    14. Ma, Tao & Zhao, Jiaxin & Li, Zhenpeng, 2018. "Mathematical modelling and sensitivity analysis of solar photovoltaic panel integrated with phase change material," Applied Energy, Elsevier, vol. 228(C), pages 1147-1158.
    15. Punia Sindhu, Sonal & Nehra, Vijay & Luthra, Sunil, 2016. "Recognition and prioritization of challenges in growth of solar energy using analytical hierarchy process: Indian outlook," Energy, Elsevier, vol. 100(C), pages 332-348.
    16. Liao, Huaying & Zhang, Zhengqiu & Ren, Ling & Peng, Wenli, 2017. "Global asymptotic stability of periodic solutions for inertial delayed BAM neural networks via novel computing method of degree and inequality techniques," Chaos, Solitons & Fractals, Elsevier, vol. 104(C), pages 785-797.
    17. Li, Mengying & Chu, Yinghao & Pedro, Hugo T.C. & Coimbra, Carlos F.M., 2016. "Quantitative evaluation of the impact of cloud transmittance and cloud velocity on the accuracy of short-term DNI forecasts," Renewable Energy, Elsevier, vol. 86(C), pages 1362-1371.
    18. Bocca, Alberto & Chiavazzo, Eliodoro & Macii, Alberto & Asinari, Pietro, 2015. "Solar energy potential assessment: An overview and a fast modeling approach with application to Italy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 49(C), pages 291-296.
    19. Kane, Aarti & Verma, Vishal & Singh, Bhim, 2017. "Optimization of thermoelectric cooling technology for an active cooling of photovoltaic panel," Renewable and Sustainable Energy Reviews, Elsevier, vol. 75(C), pages 1295-1305.
    20. Bouselham, Loubna & Rabhi, Abdelhamid & Hajji, Bekkay & Mellit, Adel, 2021. "Photovoltaic array reconfiguration method based on fuzzy logic and recursive least squares: An experimental validation," Energy, Elsevier, vol. 232(C).

    More about this item

    Statistics

    Access and download statistics

    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:hin:complx:1708935. 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: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.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.