Zobrazeno 1 - 10
of 112
pro vyhledávání: '"Chunyang Sheng"'
Publikováno v:
Applied Sciences, Vol 13, Iss 21, p 12076 (2023)
Aiming at the problem that online parameter identification, based on the Model Reference Adaptive System (MRAS), is easily affected by the high-frequency noise of the sensor, an improved MRAS, based on variable bandwidth linear Active Disturbance Rej
Externí odkaz:
https://doaj.org/article/c27ec188ec58425d8628a17b8e310adb
Publikováno v:
Axioms, Vol 12, Iss 9, p 883 (2023)
The global fixed-time sliding mode control strategy is designed for the manipulator to achieve global fixed-time trajectory tracking in response to the uncertainty of the system model, the external disturbances, and the saturation of the manipulator
Externí odkaz:
https://doaj.org/article/2210604cbc2b4dc88ed11df2a0d44141
Publikováno v:
IEEE Access, Vol 8, Pp 52323-52332 (2020)
This paper presents an extension of the simple adaptive control (SAC) deal with input saturation for the attitude control of the unmanned aerial vehicle (UAV). A new SAC structure with the virtual saturation function and adaptive anti-windup compensa
Externí odkaz:
https://doaj.org/article/2ac976d118444bd4af4eddfe338be349
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 17 (2020)
An advanced driving assistant system is one of the most popular topics nowadays, and depth estimation is an important cue for advanced driving assistant system. Depth prediction is a key problem in understanding the geometry of a road scene for advan
Externí odkaz:
https://doaj.org/article/0fc43c2afcce4dada9b4ce5c0d8dab58
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 17 (2020)
This article focuses on the problem of optimal linear quadratic Gaussian control for networked control systems with multiple delays and packet dropouts. The main contributions are twofold. Firstly, based on the introduced maximum principle for linear
Externí odkaz:
https://doaj.org/article/5e13f1861a8f4005a6c6b3844ef6baf0
Publikováno v:
IEEE Access, Vol 5, Pp 25034-25045 (2017)
Aiming at the control and optimization problem of blast furnace gas (BFG) systems in the steel industry, a knowledge-based optimal control algorithm combining fuzzy rules extraction with neural networks (NNs) ensemble-based prediction is proposed. On
Externí odkaz:
https://doaj.org/article/f6ef80742c804834b565a5a67cf65e9a
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 16 (2019)
The singular systems, which could widely describe more general systems and present traits of physical features, are discussed in this study. Taking the fact that noises always exist in the state and output measurement of one singular system into cons
Externí odkaz:
https://doaj.org/article/b5ba82f5e87d46e5aa2b79bdc3667c94
Publikováno v:
Complexity, Vol 2019 (2019)
To overcome the weakness of generic neural networks (NNs) ensemble for prediction intervals (PIs) construction, a novel Map-Reduce framework-based distributed NN ensemble consisting of several local Gaussian granular NN (GGNNs) is proposed in this st
Externí odkaz:
https://doaj.org/article/e83ff93ce4ae4abebda8b89ac2f9bc64
This paper is concerned with the optimal linear quadratic Gaussian (LQG) control problem for discrete time-varying system with multiple input delays and multiplicative noises. The main contributions are two-fold. Firstly, when the state variables can
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7c89c4e28480d6052084ab266d980918
https://doi.org/10.20944/preprints202305.1330.v1
https://doi.org/10.20944/preprints202305.1330.v1
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 15 (2018)
The Paden–kahan subproblem is a simple and flexible method to solve the closed-form inverse resolution but limited by the geometrical structure of robots, which is very difficult to be kept because of processing and installation. Therefore, a close
Externí odkaz:
https://doaj.org/article/eadec38560874555b2b0258c3200ac1b