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International Journal of Computer Mathematics Volume 98, 2021 - Issue 12
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Research Article

A novel robust fixed-time convergent zeroing neural network for solving time-varying noise-polluted nonlinear equations

Lv ZhaoSchool of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan, People’s Republic of ChinaCorrespondence[email protected]
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Jie JinSchool of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan, People’s Republic of ChinaView further author information
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Jianqiang GongSchool of Information and Electrical Engineering, Hunan University of Science and Technology, Xiangtan, People’s Republic of ChinaView further author information
Pages 2514-2532 | Received 17 Nov 2020, Accepted 27 Feb 2021, Published online: 01 Apr 2021

Citations (4)

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Read on this site (1)

Bin Chai, Ke Zhang, Minghu Tan & Jingyu Wang. (2023) Prescribed time convergence and robust zeroing neural network for solving time-varying linear matrix equation. International Journal of Computer Mathematics 100:5, pages 1094-1109.
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Articles from other publishers (3)

Jie Jin, Jingcan Zhu, Lv Zhao, Lei Chen, Long Chen & Jianqiang Gong. (2023) A Robust Predefined-Time Convergence Zeroing Neural Network for Dynamic Matrix Inversion. IEEE Transactions on Cybernetics 53:6, pages 3887-3900.
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Lv Zhao, Huaiyuan Shao, Xiaolei Yang, Xin Liu, Zhijun Tang & Hairong Lin. (2023) A novel zeroing neural network for dynamic sylvester equation solving and robot trajectory tracking. Frontiers in Physics 11.
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Jingcan Zhu, Jie Jin, Weijie Chen & Jianqiang Gong. (2022) A combined power activation function based convergent factor-variable ZNN model for solving dynamic matrix inversion. Mathematics and Computers in Simulation 197, pages 291-307.
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