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2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)最新文献

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Segnet-based gland segmentation from colon cancer histology images 基于节段的结肠癌组织学图像腺体分割
Jing Tang, Jun Yu Li, Xiangping Xu
The morphology of glands is the main basis of colon cancer diagnosis and accurate segmentation of glands from histology images is a prerequisite for correct clinical diagnosis. A gland segmentation method based on Segnet is proposed in this paper. First, the Warwick-QU dataset is used and augmented for training Segnet. Second, the network parameters are optimized according to the training results. Finally, the trained Segnet is used to perform segmentation test on both Parts A and B of Warwick-QU. The results show that the presented method achieves segmentation accuracy of 0.882 on Part A and 0.8636 on Part B, and shape similarity 106.6471 on Part A and 102.5729 on Part B, respectively. Compared with the existing methods with respect to the same dataset, our method reaches the highest accuracy on whole.
腺体形态是结肠癌诊断的主要依据,从组织学图像中准确分割腺体是临床正确诊断的前提。提出了一种基于分段网的腺体分割方法。首先,使用并增强Warwick-QU数据集来训练分段网。然后根据训练结果对网络参数进行优化。最后,使用训练好的分段对Warwick-QU的A、B部分进行分段测试。结果表明,该方法在A部分和B部分的分割精度分别为0.882和0.8636,在A部分和B部分的形状相似性分别为106.6471和102.5729。与现有方法相比,在相同的数据集上,我们的方法总体上达到了最高的精度。
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引用次数: 30
Tracking control of single spin-1/2 quantum ensembles 单自旋1/2量子系综的跟踪控制
Shizhou Fu, Shaosheng Zhou
This paper is concerned with the tracking control problem for the closed single spin-1/2 quantum ensembles. Based on the Liouville-von Neumann equation, mathematical model of dynamics for single spin-1/2 quantum ensembles are formulated as a bilinear form with states evolving on Bloch sphere. An associated matrix Lie group equation describing transfers from the initial state being an identity matrix is naturally introduced. The tracking problem for the system in question is transformed to a stabilization problem such that the control techniques are able to be used. In order to deal with the tracking problem, the Lyapunov-based feedback design method is employed to obtain the control such that the dynamics of system can converge to the reference trajectory.
研究闭合单自旋1/2量子系综的跟踪控制问题。基于Liouville-von Neumann方程,将单自旋-1/2量子系综的动力学数学模型表述为状态在Bloch球上演化的双线性形式。自然引入了一个描述从初始状态为单位矩阵的转移的关联矩阵李群方程。将系统的跟踪问题转化为稳定问题,使控制技术得以应用。为了解决跟踪问题,采用基于lyapunov的反馈设计方法来获得控制,使系统的动力学收敛到参考轨迹。
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引用次数: 0
Adaptive neural network prescribed performance control of switched nonlinear time-varying delay systems 切换非线性时变时滞系统的自适应神经网络规定性能控制
Shi Li, Z. Xiang
This paper considers the problem of adaptive output feedback prescribed performance control for a class of switched nonlinear systems with time-varying delays. The radial basis function neural networks are employed to approximate the unknown nonlinear functions. In order to estimate the unmeasured system states, an observer is designed. It is shown that all signals of the closed-loop system are bounded and the tracking error satisfies the prescribed performance. Finally, an example is presented to demonstrate the effectiveness of the proposed method.
研究了一类具有时变时滞的切换非线性系统的自适应输出反馈规定性能控制问题。采用径向基函数神经网络逼近未知非线性函数。为了估计系统的未测状态,设计了观测器。结果表明,闭环系统的所有信号都是有界的,跟踪误差满足规定的性能。最后,通过一个算例验证了该方法的有效性。
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引用次数: 0
Multi-objective robust filtering for fuzzy singularly perturbed systems with Markov-switching 马尔可夫切换模糊奇异摄动系统的多目标鲁棒滤波
Mingcheng Dai, Kun Liang, J. Wang, Zhen Wang, Hao Shen
In this paper, we expect to design a multi-objective robust filter for fuzzy singularly perturbed systems (SPSs) with Markov switching. By utilizing the Takagi and Sugeno (T-S) fuzzy model and the Markov jump model, both the nonlinearity and the sudden changes in the parameters or structures are considered in the description of SPSs. Based on some acquired conditions, the final filtering error system can be assured stochastically stable with a prescribed dissipative performance index. Finally, the filter gains can be gained by solving these conditions.
在本文中,我们期望设计一个具有马尔可夫切换的模糊奇异摄动系统的多目标鲁棒滤波器。利用Takagi和Sugeno (T-S)模糊模型和Markov跳跃模型,在描述SPSs时既考虑了非线性,又考虑了参数或结构的突变。在一定条件下,可以保证最终的滤波误差系统具有规定的耗散性能指标的随机稳定。最后,通过求解这些条件得到滤波器增益。
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引用次数: 0
Quantized feedback control based on event-triggered observer 基于事件触发观测器的量化反馈控制
Lun Wang, Y. Fan, Yang Zhang, C. Song
In this paper, we propose a quantized feedback control approach based on event-triggered observer. First, according to the characteristics of event-triggering mechanism and observer, an event-triggered observer is put forward to estimate the unmeasured states. Next, we introduce quantizer and controller to quantify data and construct closed-loop system respectively. In this framework, besides the observer, quantizer and controller are only updated at the event-triggered sampling instants so that it can reduce the computational effort and sampling frequency. Moreover, the condition in terms of linear matrix inequalities is provided to ensure the closed-loop system as well as the observer error system and quantization error system asymptotic stability under the event-triggered strategy. Finally, the simulation example is given to illustrate the proposed method.
本文提出了一种基于事件触发观测器的量化反馈控制方法。首先,根据事件触发机制和观测器的特点,提出了一种事件触发观测器来估计非测量状态;接下来,我们引入量化器和控制器分别对数据进行量化和构建闭环系统。在该框架中,除了观测器之外,量化器和控制器只在事件触发的采样时刻更新,从而减少了计算量和采样频率。此外,给出了在事件触发策略下闭环系统以及观测器误差系统和量化误差系统渐近稳定的条件,即线性矩阵不等式。最后,给出了仿真实例来说明所提出的方法。
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引用次数: 0
A case study on local decentralized air traffic protocol for multiple multicopters 多架直升机局部分散空中交通协议的实例研究
Mengxin Li, Heng Deng, Zhenglong Guo, Q. Quan
For a multiple multicopter system, the increase in the number of multicopters may lead to severe trap problems. These will abort missions, crash multicopters, or even injure people. To solve the trap problem and guarantee the mission of each multicopter, an Air Traffic Management (ATM) system should build. In this paper, a local decentralized air traffic protocol for multiple multicopters is proposed to solve the trap problem and complete a series of tasks in a local low altitude airspace. Based on the Artificial Potential Field (APF) method, the protocol is designed in the form of a state machine to coordinate the motions of multiple multicopters. Finally, some simulations are performed to show the effectiveness of the proposed protocol in a case study.
对于多架多旋翼机系统,多旋翼机数量的增加可能导致严重的陷阱问题。这会导致任务中止、多架直升机坠毁,甚至伤害到人。为了解决陷阱问题,保证多架直升机的正常飞行任务,需要建立空中交通管理(ATM)系统。本文提出了一种局部分散的多架多直升机空中交通协议,以解决局部低空空域的陷阱问题,完成一系列任务。基于人工势场(APF)方法,将协议设计成状态机的形式,以协调多架多旋翼机的运动。最后,通过实例仿真验证了所提协议的有效性。
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引用次数: 0
State estimation for nonlinear switched systems under constrained switching 约束切换下非线性切换系统的状态估计
Lei Liu, Yuxin Zhao, Zhenbin Zhang, Bin Ma
In this paper, the problem of state estimation for nonlinear discrete-time switched system is investigated. At first, the nonlinear switched system is represented as Takagi-Sugeno (T-S) fuzzy switched system, i.e., T-S fuzzy models are employed to approximate nonlinear parts. After that, a mode-dependent Luenberger-type observers under synchronous switching is employed to estimate the state of discrete-time T-S fuzzy switched system. By constructing multiply Lyapunov functions (MLFs) and common Lyapunov functions (CLFs), several sufficient conditions are established, in which the actual states of the estimated system under constrained switching (average dwell time (ADT) and mode-dependent average dwell time (MDADT) switching) and arbitrary switching can be tracked by the state of received observers, respectively. Finally, to testify the effectiveness of the proposed solution, one numerical example is provided.
研究了非线性离散时间切换系统的状态估计问题。首先,将非线性切换系统表示为Takagi-Sugeno (T-S)模糊切换系统,即利用T-S模糊模型逼近非线性部分。然后,利用同步切换下的模相关luenberger型观测器来估计离散时间T-S模糊切换系统的状态。通过构造多重Lyapunov函数(mlf)和普通Lyapunov函数(clf),建立了估计系统在约束切换(平均停留时间(ADT)和模式相关平均停留时间(MDADT)切换)和任意切换下的实际状态可以分别由接收观测器状态跟踪的几个充分条件。最后,通过一个算例验证了该方法的有效性。
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引用次数: 1
A spreading model based on individual sensitivity in multiplex networks 多路网络中基于个体灵敏度的扩展模型
Bin Zhang, Yurong Song, Xu Zhang
Epidemic spreading and information diffusion are two fundamental types of dynamical processes on complex networks. We present the analysis of the interrelation between two processes: one is the spreading of epidemics, the other is the information diffusion which conclude individual sensitivity in multiplex networks. Then we propose a UADU-SIS model of multiplex networks which adopt information diffusion model-UADU and epidemic spreading model-SIS to describe upper and lower layer networks respectively. By using the continuous time Markov process, the analysis reveals the situation of the incidence of the epidemics and allows to capture the evolution of the epidemic threshold. The threshold depends on the topological structure of the multiplex and the interrelation with the awareness process. The research shows that the threshold of Epidemic spreading is not only related to the structure of social network, but also associated with the individual sensitivity and the information diffusion in the communication network.
疫情传播和信息扩散是复杂网络中两种基本的动态过程。我们分析了两个过程之间的相互关系:一个是流行病的传播,另一个是信息扩散,这决定了多重网络中个体的敏感性。然后提出了一种多路网络的UADU-SIS模型,该模型采用信息扩散模型- uadu和流行病传播模型- sis分别描述上层和下层网络。通过使用连续时间马尔可夫过程,分析揭示了流行病的发病率情况,并允许捕捉流行病阈值的演变。阈值取决于多路复用的拓扑结构以及与感知过程的相互关系。研究表明,疫情传播阈值不仅与社会网络结构有关,还与个体敏感性和传播网络中的信息扩散有关。
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引用次数: 0
Enhanced EMD multiscale poincaré plots (EEMP) of heartbeat time series for visual analysis 心跳时间序列的增强EMD多尺度点阵图(EEMP)可视化分析
Jiaqi Liang
Multiscale science is an emerging scientific field, and the multiscale computing methods, such as coarse-graining and empirical mode decomposition (EMD), have received increasing attention. Heartbeat Time Series are rich in multiscale information, but the traditional analysis methods only consider them on the single scale, which is not conducive to a comprehensive understanding of the dynamics of the system. Meanwhile, poincaré plot is widely used in the analysis of heart rate variability (HRV) which quantifies the variability of the series, but without probability distribution. To facilitate multiscale visual analysis of RR intervals series, we introduce enhanced EMD multiscale poincaré plot (EEMP). We first employed EMD to create a family of intrinsic mode function (IMF), each of which represents the characteristic time scale embedded in the series. Next, multiscale poincaré plots are constructed for each scale. Finally, to display probability distribution intuitively, color labels are added to each point using kernel density estimation to exhibit the normalized frequency. We illustrated the EEMP approach on RR intervals time series from normal subjects comparing with atrial fibrillation (AF) subjects and congestive heart failure syndrome (CHF) subjects to analyze the dynamics of different physiology states visually. In the future, this generalized approach may be used well in other types of time series.
多尺度科学是一个新兴的科学领域,多尺度计算方法如粗粒度和经验模态分解(EMD)越来越受到人们的关注。心跳时间序列具有丰富的多尺度信息,但传统的分析方法只考虑单尺度,不利于全面了解系统的动态。同时,poincar图被广泛应用于心率变异性(HRV)分析,它量化了序列的变异性,但没有概率分布。为了方便对RR区间序列进行多尺度视觉分析,我们引入了增强型EMD多尺度poincar图(EEMP)。我们首先使用EMD来创建一组内禀模态函数(IMF),每个函数都代表嵌入在序列中的特征时间尺度。然后,为每个尺度构建多尺度poincarcars地块。最后,为了直观地显示概率分布,使用核密度估计在每个点上添加颜色标签以显示归一化频率。我们将正常人与心房颤动(AF)和充血性心力衰竭(CHF)患者的RR间隔时间序列进行EEMP分析,直观地分析不同生理状态的动态。在未来,这种广义方法可以很好地用于其他类型的时间序列。
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引用次数: 1
A new SVPWM-based control scheme of permanent magnetic brushless DC machine with trapezoidal back EMF waveforms 基于svpwm的梯形反电动势永磁无刷直流电动机控制新方案
Jinlei Chen, M. Li, Jinbo Liu
Compared to permanent magnetic brushless DC machine with trapezoidal back EMF waveforms (BLDCM), permanent magnetic synchronous machine with sinusoidal back EMF waveforms (PMSM) has superior performance. To enhance performances of BLDCM, this paper adopts a new type oriented vector control strategy. Contrary to traditional rotor-flux oriented vector control in PMSM, the new control strategy takes back EMF as the oriented vector for improving the capability of maximum torque per ampere (MTPA) of BLDCM and reducing the torque ripple [1]. Also, a Space vector PWM modulation (SVPWM) based on “120° conduction mode” is utilized for three-phase bridge inverter [2]. Combined the oriented strategy aforementioned with proposed SVPWM method, a new control system is constructed. Simulation validates effectiveness of this new control scheme.
与梯形反电动势(BLDCM)永磁无刷直流电动机相比,正弦反电动势永磁同步电机(PMSM)具有更优越的性能。为了提高无刷直流电机的性能,本文采用了一种新型的定向矢量控制策略。与传统的永磁同步电机转子磁链定向矢量控制不同,该控制策略将电动势作为定向矢量,提高了无刷直流电机的最大转矩每安培(MTPA)能力,减小了转矩脉动[1]。此外,三相桥式逆变器采用基于“120°导通模式”的空间矢量PWM调制(SVPWM)[2]。将上述定向策略与所提出的SVPWM方法相结合,构建了一个新的控制系统。仿真验证了该控制方案的有效性。
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引用次数: 3
期刊
2018 33rd Youth Academic Annual Conference of Chinese Association of Automation (YAC)
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