Zobrazeno 1 - 10
of 171
pro vyhledávání: '"Cai, Yunze"'
Publikováno v:
Shanghai Jiaotong Daxue xuebao, Vol 58, Iss 4, Pp 468-480 (2024)
An adaptive maneuvering target tracking algorithm based on fuzzy inference is proposed to deal with the low adaptive capacity of variable structure interacting multi-model algorithms for target maneuver uncertainty and measurement uncertainty in mane
Externí odkaz:
https://doaj.org/article/b33b51a9a75d43a296cf92cd1fb2044b
Depth Estimation and Object Detection Recognition play an important role in autonomous driving technology under the guidance of deep learning artificial intelligence. We propose a hybrid structure called RealNet: a co-design method combining the mode
Externí odkaz:
http://arxiv.org/abs/2204.11216
This paper addresses state estimation of linear systems with special attention on unknown process and measurement noise covariances, aiming to enhance estimation accuracy while preserving the stability guarantee of the Kalman filter. To this end, the
Externí odkaz:
http://arxiv.org/abs/2110.04817
Publikováno v:
In Signal Processing September 2022 198
Publikováno v:
In Automatica August 2022 142
Autor:
XU Yong, CAI Yunze, SONG Lin
Publikováno v:
Shanghai Jiaotong Daxue xuebao, Vol 56, Iss 3, Pp 267-278 (2022)
The condition assessment of the entire life cycle of nuclear power equipment has a significant impact on improving the safety and economy of nuclear power plants. In the past, operation and maintenance of systems, equipment, and structures of domesti
Externí odkaz:
https://doaj.org/article/7cdb23b93b70495aa7d54a13d2dc1e66
Publikováno v:
In Signal Processing February 2021 179
Publikováno v:
Shanghai Jiaotong Daxue xuebao, Vol 55, Iss 6, Pp 716-728 (2021)
A fault detection method of combined residual is proposed to effectively master the health state of the reaction wheels of in-orbit satellite according to the telemetry data. Based on the characteristics of in-orbit telemetry data, in the proposed me
Externí odkaz:
https://doaj.org/article/47c34d65faff49cca00747fba5b1a632
Publikováno v:
Journal of Shanghai Jiaotong University (Science); Aug2024, Vol. 29 Issue 4, p667-677, 11p
Publikováno v:
Journal of Shanghai Jiaotong University (Science); Aug2024, Vol. 29 Issue 4, p702-711, 10p