ORCID Profile
0000-0002-3019-8930
Current Organisation
Shandong University
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Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 02-2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 07-2023
Publisher: American Physical Society (APS)
Date: 11-08-2008
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 12-2020
Publisher: Wiley
Date: 03-03-2021
DOI: 10.1002/ASJC.2524
Abstract: This paper is devoted to solving the problem of sliding mode control for discrete‐time switched systems with disturbances via an improved event‐triggered strategy. First, the switched sliding mode dynamics is obtained based on the pre‐designed sliding mode surface. Then, on the basis of the Lyapunov functional technique and the average dwell time approach, sufficient conditions for the existence of the concerned sliding mode dynamics are established. Third, the sliding mode control law is synthesized such that state trajectories of the considered switched system can be driven into the bounded sliding mode region and maintain there subsequently. Moreover, the event‐triggered scheme is proposed in close combination with key feature of sliding mode control, which is different from the most existing works. Finally, two ex les including a single‐link robot arm system are given to show the effectiveness of the proposed design method.
Publisher: Elsevier BV
Date: 07-2020
Publisher: Wiley
Date: 13-09-2021
DOI: 10.1002/RNC.5782
Abstract: In this work, based on the robust iterative learning control (ILC) scheme, the finite‐iteration tracking control is investigated for discrete‐time linear systems in repetitive process setting with external disturbances. First, the concept of finite‐iteration tracking is defined. Then by utilizing the lifted‐vector‐matrix technique, the discrete‐time linear system can be reformulated as an input–output transmission equation. Moreover, a P‐type ILC scheme is employed, and then the finite‐iteration tracking of the resultant system is guaranteed with the designed iterative learning controller. Meanwhile, the settling iteration can be explicitly obtained. Particularly, the case of data loss occurred during information transmission is also studied, and sufficient conditions are presented such that the finite‐iteration tracking can be achieved in a finite interval. Lastly, the effectiveness and applicability of the presented method are validated via a numerical simulation.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
Publisher: Springer Science and Business Media LLC
Date: 10-05-2011
DOI: 10.1007/S00216-011-5069-1
Abstract: Fourier-transform infrared (FTIR) imaging has been used to investigate brain tumor angiogenesis using a mice solid tumor model and bare-gold (∅ 25 nm) or BaSO(4) (∅ 500 nm) nanoparticles (NP) injected into blood vasculature. FTIR images of 20-μm-thick tissue sections were used for chemical histology of healthy and tumor areas. Distribution of BaSO(4)-NP (using the 1,218-1,159 cm(-1) spectral interval) revealed clearly all details of blood vasculature with morphological abnormalities of tumor capillaries, while Au-NP (using the 1,046-1,002 cm(-1) spectral interval) revealed also diffusion properties of leaky blood vessels. Diffusion of Au-NP out of vascular space reached 64 ± 29 μm, showing the fenestration of "leaky" tumor blood vessels, which should allow small NP (<100 nm, as for Au-NP) to diffuse almost freely, while large NP should not (as for BaSO(4)-NP in this study). Therefore, we propose to develop FTIR imaging as a convenient tool for functional molecular histology imaging of brain tumor vasculature, both for identifying blood capillaries and for determining the extravascular diffusion space offered by vessel fenestration.
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 03-2023
Publisher: Springer Science and Business Media LLC
Date: 2022
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 09-2019
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Date: 2023
No related grants have been discovered for Rongni Yang.