Zobrazeno 1 - 10
of 429
pro vyhledávání: '"Zhongsheng Hou"'
Publikováno v:
IET Control Theory & Applications, Vol 16, Iss 7, Pp 698-717 (2022)
Abstract In this paper, the distributed output consensus tracking problem for a class of unknown heterogeneous discrete‐time single‐input single‐output nonlinear multiagent systems (MASs) with time delays is considered. For this problem, a dist
Externí odkaz:
https://doaj.org/article/adda84487b0b458a8760e571b7d3f85f
Publikováno v:
CSEE Journal of Power and Energy Systems, Vol 8, Iss 6, Pp 1659 -1669 (2022)
Externí odkaz:
https://doaj.org/article/41cf95753258498986a60d4e59a0693d
Autor:
Dai Li, Zhongsheng Hou
Publikováno v:
IET Control Theory & Applications, Vol 15, Iss 11, Pp 1533-1544 (2021)
Abstract In this paper, to fully utilize the urban traffic flow characteristics of similarity and repeatability without using a mathematical traffic model, a data‐driven urban traffic control strategy based on model‐free adaptive iterative learni
Externí odkaz:
https://doaj.org/article/5eb911921f29400594a07b0abf63ed60
Publikováno v:
Symmetry, Vol 14, Iss 10, p 1956 (2022)
In this work, a novel driver abnormal behavior analysis system based on practical facial landmark detection (PFLD) and you only look once version 5 (YOLOv5) were developed to solve the recognition and analysis of driver abnormal behaviors. First, a l
Externí odkaz:
https://doaj.org/article/2a2ed261a1f54cfa81848ea98b9bf928
Publikováno v:
IEEE Access, Vol 7, Pp 54106-54116 (2019)
Modeling a launch vehicle dynamics accurately is time-consuming since its dynamics is very complex with high nonlinearity, when considering the influence of load variation and other related factors. Model-free adaptive control (MFAC), as a data-drive
Externí odkaz:
https://doaj.org/article/14584a560b04495bb5e5986995848bc3
Publikováno v:
IEEE Access, Vol 7, Pp 102852-102866 (2019)
In this study, a model-free adaptive predictive control (MFAPC) method is proposed for a class of unknown nonlinear non-affine multiple-input and multiple-output (MIMO) systems based on a novel dynamic linearization technique and a new time-varying P
Externí odkaz:
https://doaj.org/article/e1498eb730b845d880310881762ce58f
Publikováno v:
IEEE Access, Vol 7, Pp 113712-113725 (2019)
The linear motor tool feed system is an important part in noncircular turning. In this paper, the compact form dynamic linearization based model-free adaptive iterative control scheme (CFDL-MFAILC) and the full form dynamic linearization based model-
Externí odkaz:
https://doaj.org/article/5e917596c8f94ec5b90dad5e04b56bb3
Publikováno v:
Symmetry, Vol 14, Iss 3, p 580 (2022)
In this work, a novel anti-saturation model-free adaptive control (AS-MFAC) algorithm is proposed for the problem of pure electric vehicle’s braking energy recovery with the uncertain dynamic external factors. In the process of energy recovery duri
Externí odkaz:
https://doaj.org/article/82420af3be964a36b82f71c12b895e5c
Publikováno v:
Energies, Vol 12, Iss 7, p 1402 (2019)
Data-driven intelligent transportation systems (D2ITSs) have drawn significant attention lately. This work investigates a novel multi-agent-based data-driven distributed adaptive cooperative control (MA-DD-DACC) method for multi-direction queuing str
Externí odkaz:
https://doaj.org/article/23f66b9db31747ffa108621fa93c886e
Publikováno v:
Journal of Applied Mathematics, Vol 2014 (2014)
A data-driven predictive terminal iterative learning control (DDPTILC) approach is proposed for discrete-time nonlinear systems with terminal tracking tasks, where only the terminal output tracking error instead of entire output trajectory tracking e
Externí odkaz:
https://doaj.org/article/6cfef9bb560e43b69e80014124352c76