Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Yonggao, Jin"'
Publikováno v:
IEEE Access, Vol 8, Pp 148500-148509 (2020)
Estimating reliable signal component and its derivatives from noisy feedback signal is important in control systems. Toward this problem, this article presents a new model-free variable gain sliding mode tracking differentiator for derivative estimat
Externí odkaz:
https://doaj.org/article/a37df7e9392a476d906c45b34a8cff40
Publikováno v:
IEEE Access, Vol 8, Pp 148500-148509 (2020)
Estimating reliable signal component and its derivatives from noisy feedback signal is important in control systems. Toward this problem, this article presents a new model-free variable gain sliding mode tracking differentiator for derivative estimat
Publikováno v:
Applied Sciences, Vol 7, Iss 3, p 209 (2017)
This paper quantitatively evaluates the performance of an adaptive-gain parabolic sliding mode filter (AG-PSMF), which is for removing noise in feedback control of mechatronic systems under different parameter values and noise intensities. The evalua
Externí odkaz:
https://doaj.org/article/25d1a93ccc474599bcc701c71c44809b
Publikováno v:
Applied Sciences, Vol 6, Iss 12, p 400 (2016)
In feedback control of mechatronic systems, sensor signals are usually noisy and uncertain because of measurement errors and environmental disturbances. Such uncertainty and noise of feedback signals may cause instability of the controlled systems. T
Externí odkaz:
https://doaj.org/article/646ee31f2e374a6a87b8ad81c66fceec
Publikováno v:
In Journal of Systems Engineering and Electronics 2007 18(3):491-496
Publikováno v:
2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC).
This paper proposes a general-purpose industrial alarm design scheme that uses the STC15W402AS high-speed single-chip microcomputer to realize the integration of WS type, WA type and WV type, and does not use the special class D power amplifier chip,
Publikováno v:
International Journal of Modeling and Optimization. 6:268-271
Publikováno v:
ICARCV
In motion control systems, feedback signals are often corrupted by noise because of environmental disturbances and measurement errors. Thus, filters are necessary to remove noise to obtain reliable signals. This paper proposes a new sliding mode filt
Publikováno v:
2018 Chinese Automation Congress (CAC).
Feedback signals of mechatronic control systems are usually uncertain and noisy because of the measurement errors and environmental disturbances. Toward this problem, this paper presents a new discrete-time sliding mode estimator that employs an adap
Publikováno v:
2018 37th Chinese Control Conference (CCC).
This paper compares two chattering-free discrete-time algorithms of a parabolic sliding mode filter, which has become one of the most important components of the active disturbance rejection control, for removing noise. One is an algorithm derived by