Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Zhinan Peng"'
Publikováno v:
Entropy, Vol 26, Iss 1, p 72 (2024)
This paper presents an adaptive learning structure based on neural networks (NNs) to solve the optimal robust control problem for nonlinear continuous-time systems with unknown dynamics and disturbances. First, a system identifier is introduced to ap
Externí odkaz:
https://doaj.org/article/b529de2c52ed4d3bb5e7f835169e66de
Publikováno v:
Fractal and Fractional, Vol 8, Iss 1, p 46 (2024)
This article investigates the differential privacy of the initial state for nabla discrete fractional-order dynamic systems. A novel differentially private Gaussian mechanism is developed which enhances the system’s security by injecting random noi
Externí odkaz:
https://doaj.org/article/85d87dbcc75b497d8784e7c81839beb5
Autor:
Kecheng Shi, Fengjun Mu, Rui Huang, Ke Huang, Zhinan Peng, Chaobin Zou, Xiao Yang, Hong Cheng
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
A challenging task for the biological neural signal-based human-exoskeleton interface is to achieve accurate lower limb movement prediction of patients with hemiplegia in rehabilitation training scenarios. The human-exoskeleton interface based on sin
Externí odkaz:
https://doaj.org/article/0a91d48aab9f4c8b8b69934c57031b1b
Publikováno v:
Mathematics, Vol 11, Iss 4, p 906 (2023)
This paper reviews recent progress in model identification-based learning and optimal control and its applications to multi-agent systems (MASs). First, a class of learning-based optimal control method, namely adaptive dynamic programming (ADP), is i
Externí odkaz:
https://doaj.org/article/6aa6fe444ab441fc93def3d7652e2bc7
Publikováno v:
Frontiers in Neuroscience, Vol 15 (2021)
The human–robot interface (HRI) based on biological signals can realize the natural interaction between human and robot. It has been widely used in exoskeleton robots recently to help predict the wearer's movement. Surface electromyography (sEMG)-b
Externí odkaz:
https://doaj.org/article/44487bcd904141148649f2bebd0c64ea
Publikováno v:
IEEE Access, Vol 7, Pp 126077-126087 (2019)
This paper proposes an efficient algorithm which relies on quadratic programming for approximately solving the Bellman equation in reinforcement learning problem and guarantees to return optimal decision parameters. Through further applying universal
Externí odkaz:
https://doaj.org/article/3afa56b81ecc4e588fa5b1d16124498b
Publikováno v:
Frontiers in Neurorobotics, Vol 14 (2020)
More recently, lower limb exoskeletons (LLE) have gained considerable interests in strength augmentation, rehabilitation, and walking assistance scenarios. For walking assistance, the LLE is expected to control the affected leg to track the unaffecte
Externí odkaz:
https://doaj.org/article/18672f72e9684415a7dd463c8c995c43
Publikováno v:
Neural Networks. 164:105-114
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfaad271ed08dc2416ebf59d834cc482
https://doi.org/10.1016/j.neunet.2023.04.021
https://doi.org/10.1016/j.neunet.2023.04.021
Publikováno v:
IEEE Transactions on Circuits and Systems I: Regular Papers. 69:3689-3700
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7729255ca3396d7c13f2efdf0f1f1f2c
https://doi.org/10.1109/tcsi.2022.3177407
https://doi.org/10.1109/tcsi.2022.3177407
Publikováno v:
ISA Transactions. 128:255-275
Aided by a modified event-triggered communication policy (ETCP), this article addresses the dissipativity-based control synthesis problem for semi-Markovian switching systems (SMSSs) with simultaneous multiplicative probabilistic faults on sensors an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83f6e0aac689cbdb0db2e2680f67838b
https://doi.org/10.1016/j.isatra.2021.09.017
https://doi.org/10.1016/j.isatra.2021.09.017