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Asymptotic stability for quaternion-valued fuzzy BAM neural networks via integral inequality approach

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  • Zhang, Zhengqiu
  • Yang, Zhen

Abstract

The existence-uniqueness (EU) and globally asymptotic stability (GAS) of equilibrium solutions (ESS) for a class of quaternion-valued fuzzy BAM neural networks (QVFBAMNNS) with delays are concerned. Firstly, by using Homeomorphism theorem (HT) and by using the properties of unary high degree inequality, a sufficient condition ensuring the EU of ESS of the concerned QVFBAMNNS is achieved. Then, without utilizing V′(t)≤0, by applying integral inequality approach (IIA), a condition assuring the GAS of ESS for above networks is achieved. Utilizing the properties of high degree inequality studies the EU of ESS and utilizing IIA studies the GAS for neural networks (NNS) are new research approaches.

Suggested Citation

  • Zhang, Zhengqiu & Yang, Zhen, 2023. "Asymptotic stability for quaternion-valued fuzzy BAM neural networks via integral inequality approach," Chaos, Solitons & Fractals, Elsevier, vol. 169(C).
  • Handle: RePEc:eee:chsofr:v:169:y:2023:i:c:s0960077923001285
    DOI: 10.1016/j.chaos.2023.113227
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    1. Tan, Manchun & Liu, Yunfeng & Xu, Desheng, 2019. "Multistability analysis of delayed quaternion-valued neural networks with nonmonotonic piecewise nonlinear activation functions," Applied Mathematics and Computation, Elsevier, vol. 341(C), pages 229-255.
    2. Usa Humphries & Grienggrai Rajchakit & Pramet Kaewmesri & Pharunyou Chanthorn & Ramalingam Sriraman & Rajendran Samidurai & Chee Peng Lim, 2020. "Global Stability Analysis of Fractional-Order Quaternion-Valued Bidirectional Associative Memory Neural Networks," Mathematics, MDPI, vol. 8(5), pages 1-27, May.
    3. Shiping Shen & Bing Li & Yongkun Li, 2018. "Anti-Periodic Dynamics of Quaternion-Valued Fuzzy Cellular Neural Networks with Time-Varying Delays on Time Scales," Discrete Dynamics in Nature and Society, Hindawi, vol. 2018, pages 1-14, June.
    4. Tu, Zhengwen & Zhao, Yongxiang & Ding, Nan & Feng, Yuming & Zhang, Wei, 2019. "Stability analysis of quaternion-valued neural networks with both discrete and distributed delays," Applied Mathematics and Computation, Elsevier, vol. 343(C), pages 342-353.
    5. Bingjun Li & Bingnan Tang & Lifeng Wu, 2021. "New Stability Criterion for Fractional-Order Quaternion-Valued Neural Networks Involving Discrete and Leakage Delays," Journal of Mathematics, Hindawi, vol. 2021, pages 1-20, June.
    6. Li, Kelin & Zhang, Xinhua & Li, Zuoan, 2009. "Global exponential stability of impulsive cellular neural networks with time-varying and distributed delay," Chaos, Solitons & Fractals, Elsevier, vol. 41(3), pages 1427-1434.
    7. Ruofeng Rao & Gaozhi Tang & Jiuqi Gong & Xiaoyan Wan & Guanghong Wu & Qiao Zhang & Shouming Zhong, 2018. "Robust Stability of Nonlinear Diffusion Fuzzy Neural Networks with Parameter Uncertainties and Time Delays," Complexity, Hindawi, vol. 2018, pages 1-19, July.
    8. YaJun Li & Quanxin Zhu, 2019. "Stability Analysis for Discrete-Time Stochastic Fuzzy Neural Networks with Mixed Delays," Mathematical Problems in Engineering, Hindawi, vol. 2019, pages 1-13, February.
    9. Li, Hong-Li & Kao, Yonggui & Hu, Cheng & Jiang, Haijun & Jiang, Yao-Lin, 2021. "Robust exponential stability of fractional-order coupled quaternion-valued neural networks with parametric uncertainties and impulsive effects," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).
    10. Li, Donghua & Zhang, Zhengqiu & Zhang, Xiaoluan, 2020. "Periodic solutions of discrete-time Quaternion-valued BAM neural networks," Chaos, Solitons & Fractals, Elsevier, vol. 138(C).
    11. Liu, Jin & Jian, Jigui & Wang, Baoxian, 2020. "Stability analysis for BAM quaternion-valued inertial neural networks with time delay via nonlinear measure approach," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 174(C), pages 134-152.
    12. Udhayakumar, K. & Rakkiyappan, R. & Li, Xiaodi & Cao, Jinde, 2021. "Mutiple ψ-type stability of fractional-order quaternion-valued neural networks," Applied Mathematics and Computation, Elsevier, vol. 401(C).
    13. Grienggrai Rajchakit & Pharunyou Chanthorn & Pramet Kaewmesri & Ramalingam Sriraman & Chee Peng Lim, 2020. "Global Mittag–Leffler Stability and Stabilization Analysis of Fractional-Order Quaternion-Valued Memristive Neural Networks," Mathematics, MDPI, vol. 8(3), pages 1-29, March.
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