Zobrazeno 1 - 10
of 1 294
pro vyhledávání: '"zeroing"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-17 (2024)
Abstract Dynamic LR and QR factorization are fundamental problems that exist widely in the control field. However, the existing solutions under noises are lack of convergence speed and anti-noise ability. To this end, this paper incorporates the adva
Externí odkaz:
https://doaj.org/article/83c3f2f011754b7ca3caab8f1b535564
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 5, Pp 6143-6157 (2024)
Abstract Dynamic Tensor Inversion (DTI) is an emerging issue in recent research, prevalent in artificial intelligence development frameworks such as TensorFlow and PyTorch. Traditional numerical methods suffer significant lagging error when addressin
Externí odkaz:
https://doaj.org/article/489a9b7ff14e4b57a469faffced7bbcd
Publikováno v:
Frontiers in Neurorobotics, Vol 18 (2024)
To reduce transportation time, a discrete zeroing neural network (DZNN) method is proposed to solve the shortest path planning problem with a single starting point and a single target point. The shortest path planning problem is reformulated as an op
Externí odkaz:
https://doaj.org/article/c7074e3a74fb413ea8fabdf65c142517
Publikováno v:
IEEE Access, Vol 12, Pp 174740-174748 (2024)
The advancement of artificial intelligence has significantly enhanced the role of unmanned surface vehicles (USVs) in various ocean engineering applications. Designing a controller for USV systems that ensures stability, high precision, and rapid con
Externí odkaz:
https://doaj.org/article/66fe2d1190e34c1da8f9f60ab4e4f107
Autor:
Jiawen Huang, Yiming Yan
Publikováno v:
IEEE Access, Vol 12, Pp 133969-133981 (2024)
The time-varying Lyapunov equation plays a central role in the stability analysis and control of dynamic systems across various fields. Traditional methods for dealing with time-varying Lyapunov equations often face challenges such as slow convergenc
Externí odkaz:
https://doaj.org/article/2eab94a4c36743e4b20838347580ddf4
Autor:
Feixiang Yang, Yun Huang
Publikováno v:
IEEE Access, Vol 12, Pp 106466-106479 (2024)
The dynamic matrix square root (DMSR) problem is a recurring nonlinear challenge in many engineering disciplines. Although the original zeroing neural network (OZNN) shows potential for handling such problems, it faces challenges in robustness and co
Externí odkaz:
https://doaj.org/article/7553c7380a2c41f2a75dbcabccf09ead
Publikováno v:
IEEE Access, Vol 12, Pp 87828-87837 (2024)
As an important branch of recurrent neural dynamics (RND), zeroing neural dynamics (ZND) can effectively deal with the dynamic complex matrix inverse (DCMI) issues. The convergence and robustness are two key performance indicators of the neuromotor s
Externí odkaz:
https://doaj.org/article/8363aa2d927648e3ae1fc272883bf28b
Autor:
Feixiang Yang, Yun Huang
Publikováno v:
IEEE Access, Vol 12, Pp 82277-82288 (2024)
Matrix inversion is a fundamental operation utilized across numerous disciplines such as mathematics, engineering, and control theory. The original zeroing neural network (OZNN) method has proven effective in tackling the challenge of time-varying ma
Externí odkaz:
https://doaj.org/article/a67e45699de44133b1c7917fa357ce97
Publikováno v:
IEEE Access, Vol 12, Pp 51346-51363 (2024)
Time-varying problems are prevalent in engineering, presenting a significant challenge due to the fluctuations in parameters and goals at different time points. The zeroing neural network (ZNN), a specialized form of recurrent neural network (RNN) de
Externí odkaz:
https://doaj.org/article/601b54a6fd844154936e3618ba73cbd8
Autor:
Houssem Jerbi, Izzat Al-Darraji, Saleh Albadran, Sondess Ben Aoun, Theodore E. Simos, Spyridon D. Mourtas, Vasilios N. Katsikis
Publikováno v:
AIMS Mathematics, Vol 9, Iss 3, Pp 5794-5809 (2024)
Many variations of the algebraic Riccati equation (ARE) have been used to study nonlinear system stability in the control domain in great detail. Taking the quaternion nonsymmetric ARE (QNARE) as a generalized version of ARE, the time-varying QNARE (
Externí odkaz:
https://doaj.org/article/e7dacc457ff947109c03e34bc88bf93e