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| 1 | Operator-Based Robust Nonlinear Control for SISO and MIMO Nonlinear Systems With PI Hysteresis显示文摘In this paper, operator based robust nonlinear control for single-input single-output(SISO) and multi-input multi-output(MIMO) nonlinear uncertain systems preceded by generalized Prandtl-Ishlinskii(PI) hysteresis is considered respectively. In detail, by using operator based robust right coprime factorization approach, the control system design structures including feedforward and feedback controllers for both SISO and MIMO nonlinear uncertain systems are given, respectively.In which, the controller design includes the information of PI hysteresis and its inverse, and some sufficient conditions for the controllers in both SISO and MIMO systems should be satisfied are also derived respectively. Based on the proposed conditions, influence from hysteresis is rejected, the systems are robustly stable and output tracking performance can be realized.Finally, the effectiveness of the proposed method is confirmed by numerical simulations. | Shuhui Bi Lei Wang Shengjun Wen Mingcong Deng | 2018 | IEEE/CAA Journal of Automatica Sinica2018，5，2： | 3 |
| 2 | Novel function of perforin in negatively regulating CD4^+ T cell activation by affecting calcium signaling显示文摘Perforin 是主要从事调停的形成毛孔的蛋白质目标 T 房间死亡并且被细胞毒素的 T 淋巴细胞(CTL ) 和自然漂亮房间采用。然而,它是否也在常规 CD4+ T 房间功能起一个作用,仍然保持不清楚。这里,我们报导那在 perforin 缺乏(PKO ) 老鼠, CD4+ T 房间是响应 T 的 hyperproliferative 房间受体(TCR ) 刺激。hyperproliferation 的这个特征被改进在房间分割并且在 IL-2 分泌物伴随。看起来, perforin 缺乏不在胸腺怒气和淋巴节点影响 T 房间开发。在 vivo, perforin 缺乏导致增加的抗原特定的 T 房间增长和抗体生产。而且, PKO 老鼠更产生试验性的自体免疫的眼色素层炎。探讨分子的机制,我们发现在 TCR 刺激以后,从 PKO 老鼠的 CD4+ T 房间显示增加的细胞内部的钙流动并且随后提高抄写因素 NFAT1 的激活。我们的结果显示 perforin 在由影响 TCR 依赖的 Ca2+ 发信号调整 CD4+ T 房间激活和有免疫力的反应起一个否定作用。 | Enguang Bi Chunjian Huang Yu Hu Xiaodong Wu Weiwen Deng Guomei Lin Zhiduo Liu Lin Tian Shuhui Sun Kairui Mao Jia Zou Yuhan Zheng Bing Sun | 2009 | Cell Research2009，19，7： | 2 |
| 3 | Apple grading method based on neural network with ordered partitions and evidential ensemble learning显示文摘In order to improve the performance of the automatic apple grading and sorting system,in this paper,an ensemble model of ordinal classification based on neural network with ordered partitions and Dempster–Shafer theory is proposed.As a non-destructive grading method,apples are graded into three grades based on the Soluble Solids Content value,with features extracted from the preprocessed near-infrared spectrum of apple serving as model inputs.Considering the uncertainty in grading labels,mass generation approach and evidential encoding scheme for ordinal label are proposed,with uncertainty handled within the framework of Dempster–Shafer theory.Constructing neural network with ordered partitions as the base learner,the learning procedure of the Bagging-based ensemble model is detailed.Experiments on Yantai Red Fuji apples demonstrate the satisfactory grading performances of proposed evidential ensemble model for ordinal classification. | Liyao Ma Peng Wei Xinhua Qu Shuhui Bi Yuan Zhou Tao Shen | 2022 | CAAI Transactions on Intelligence Technology2022，7，4： | 1 |
| 4 | Compared catalytic properties of OMS-2-based nanocomposites for the degradation of organic pollutants显示文摘In this study,Mn catalysts have been designed based on manganese oxide octahedral molecular sieve(OMS-2) supports to optimize the catalytic activity in the degradation of organic pollutants.Herein,two different synthetic strategies:Pre-incorporation vs.wet-impregnation have been employed to synthesize[PW]-OMS-2 and [PW]/OMS-2.For [PW]-OMS-2,energy dispersive X-ray spectroscopy(EDX) confirmed that dispersed granular phosphotungstic acid attached and located at the surface of OMS-2,meanwhile some W atoms have been doped into frameworks of OMS-2.However,for [PW]/OMS-2,the W atoms cannot enter the OMS-2 frameworks.A correlation has been established between the different synthetic strategies and catalytic activities.The [PW]-OMS-2 is the most highly effective and stable over than[PW]/OMS-2 and OMS-2 itself for the organic pollutants removal.This may be caused not only by the synergetic effect of [PW] and OMS-2,but also by doping W into frameworks of OMS-2.Therefore,this work provides a new environmentally-friendly and heterogeneous PMS activator and it may be put into practice to degrade organic pollutants. | Wenxin Hou Shuhui Wang Xiuru Bi Xu Meng Peiqing Zhao Xiang Liu | 2021 | Chinese Chemical Letters2021，32，8： | 0 |
| 5 | A FIR flter assisted with the predictive model and ELM integrated for UWB-based quadrotor aircraft localization显示文摘To improve the accuracy of the Ultra-Wide Band(UWB)based quadrotor aircraft localization,a Finite Impulse Response(FIR)flter aided with an integration of the predictive model and Extreme Learning Machine(ELM)is proposed in this work.The FIR flter estimates the quad-rotor aircraft’s position by fusing the positions measured with the UWB and Inertial Navigation System respectively.When the UWB dada are unavailable,both the ELM and the predictive model are used to provide the measurements,replacing those unavailable UWB data,for the FIR flter.The ELM estimates the measurement via the mapping between the one step prediction of state vector and the measurement built when the UWB data are available.For the predictive model,we mathematically describe the missing UWB data.Then,both the measurements estimated with the ELM and predictive model are employed to estimate the observations via Mahalanobis distance.The test results show that the FIR flter aided by the predictive model/ELM integrated can reduce the Cumulative Distribution Function and position Root Mean Square Error efectively when the UWB is unavailable.Compared with the ELM assisted FIR flter,the proposed FIR flter can reduce the localization error by about 48.59%,meanwhile,the integrated method is close to the method with a better solution. | Yuan Xu Dong Wan Shuhui Bi Hang Guo Yuan Zhuang | 2023 | Satellite Navigation2023，4，1： | 0 |
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