检索结果-内蒙古大学图书馆

作者： Xing Xia Bei Wang Jing Li Li Song Yi Hang Gong Bao Song Deng Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology National Innovation Institute of Defense Technology Academy of Military Science Tianjin Artificial Intelligence Innovation Center

In this paper, a novel real-time online UAV image mosaic algorithm is proposed to meet the real-time, robustness and accuracy requirements of practical application. First, the algorithm adopts GPS and track planning information to locate the adjacent images. Instead of the 8-DOF(degrees of freedom) homography transformation, the 4-DOF similarity transformation is estimated to more robustly register the UAV images and reduce their perspective errors. Second, a new method of local registration is developed to reduce the cumulative errors and calculation costs. Meanwhile, the real-time mosaic process is used to register images and update the panoramic image. Finally, the effectiveness of the proposed approach is evaluated by a group of experiments on 4 K images taken by quadrotor drones. According to the comparison of experiments, the proposed algorithm is robust to cumulative errors and obtains high-quality panorama. Additionally, through the analysis on stitching time and practical application, frame-by-frame mosaic synthesis is online updated in real-time.

关键词： Real-Time Image Mosaic Similarity Transformation Local Registration

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Design of Real-Time Document control Based on Zigbee and Surface Electromyography(sEMG)

Design of Real-Time Document Control Based on Zigbee and Sur...

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The 7th International Conference on Management and Service Science(MASS 2013)

作者： Zhen Wang Bei Wang Xingyu Wang Department of Automation School of Information Science and EngineeringEast China University of Science and Technology Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology)Ministry of Education

The human-computer interaction(HCI) is now playing a great role in computer *** study introduces an automatic document control technique which is based on the human hand waving *** recognition of hand movement is realized according to the surface electromyography(sEMG).A collector is set on the *** sEMG signal is recorded and conveyed to a PC terminal by using wireless *** automatic algorithm is developed in order to extract the characteristics of sEMG,recognize the waving movements,and transmit to document control *** developed human-computer interaction technique can be used as a new gallery for teaching,as well as an assistant tool for disabled person.

关键词： Surface Electromyography Human-Computer Interaction Zigbee Document control

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Security of opinion dynamics in social networks ⁎

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IFAC-PapersOnLine 2019年第3期52卷 162-167页

作者： Long Gao Wen Yang Zhiyun Zhao Xiaofan Wang Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai China 200237 Department of Automation Shanghai Jiaotong University Shanghai China 200240 School of Mechatronic Engineering and Automation Shanghai University Shanghai China 200072

In this paper, we consider the security problem of opinion dynamics in attack-defense environment in social networks. First, we propose an opinion dynamics model, which is composed by attackers, defenders and the masses. In the proposed model, a set of attackers controlled by the agent with hostile opinion sends malicious opinion to their neighbors with a certain probability, and the defenders are activated by the agent with right opinion at a triggering time to lead the opinions of the masses to a safe zone. Second, we provide a sufficient condition to ensure the convergence of the expected opinions of the system. We also give the method to seek a lower bound of the opinions spread by the defenders at each time step while keeping the opinions in safe situation. Finally, we provide a numerical example to verify the main results.

关键词： Opinion dynamic attack-defense environment network security social network

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Design and control of a p-Xylene Oxidation Process

Design and Control of a p-Xylene Oxidation Process

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第25届中国过程控制会议

作者： Lili Tao Feng Qian School of Electronic & Electrical Engineering Shanghai Second Poly technic University Key Laboratory of Advanced Control and Op timization for Chemical Processes Ministry of Education East China Univer sity of Science and Technology

The p-xylene(PX)oxidation process is of great industrial importance because of the strong global polyester fiber ***-state model of the PX oxidation have been studied by many *** our p revious work,a novel model of the industrial PX oxidation reactor has been develop ***,the disturbances such as p roduction rate change,feed comp osition variability and reactor temp erature changes widely exist in the industry p *** this p ap er,dy namic simulation of the PX oxidation reactor was designed by Asp en Dy namics and used to develop effective p lantwide control structure,which is cap able of effectively handling the disturbances in the load and the temp erature of the *** resp onses of the control structure to the disturbances were shown and serve as the foundation of the smooth op eration and advanced control strategy of this p rocess in our future work.

关键词： p-Xylene oxidation,Dynamic simulation,Aspen Dynamics,Process design and control

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Online Batch Process Monitoring Based on Just-in-Time Learning and Independent Component Analysis

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Journal of Donghua University(English Edition) 2016年第6期33卷 944-948页

作者： WANG Li SHI Hong-bo School of Electrical and Electronic Engineering Shanghai Institute of Technology Shanghai 200230 China Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai 200237 China

A new method was developed for batch process monitoring in this paper. In the devdopad method, just-in-time learning （ JITL ） and independent component analysis （ICA） were integrated to build JITL-ICA monitoring scheme. JITL was employed to tackle with the characteristics of batch process such as inherent time- varying dynamics, multiple operating phases, and especially the case of uneven length stage. According to new coming test data, the most correlated segmentation was obtained from batch-wise unfolded training data by JITL. Then, ICA served as the principal components extraction approach. Therefore, the *** distributed data can also be addressed under this modeling framework. The effectiveness and superiority of JITL-ICA based monitoring method was demonstrated by fed-batch penicillin fermentation.

关键词： batch process monitoring just-in-time learning(JITL) independent component analysis(ICA)

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Cooperative control of heterogeneous multi-agent systems via distributed adaptive output regulation under switching topology

Cooperative control of heterogeneous multi-agent systems via...

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Annual Conference of Industrial Electronics Society

作者： Ruohan Yang Hao Zhang Huaicheng Yan Fuwen Yang Department of Control Science and Engineering Tongji University Shanghai China Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai China School of Engineering Griffith University Australia

A novel distributed adaptive output feedback control strategy is developed to solve the cooperative output regulation problem of heterogeneous general linear multi-agent systems(MASs) under switching topology. The proposed control strategy avoids using the minimal non-zero eigenvalue of Laplacian matrix when calculating gain matrix, and the communication topology is assumed to contain a directed spanning tree only frequently. It is shown that individual agents could track external signal asymptotically and achieve disturbance rejection. Ultimately, a simulation is presented to exemplify the effectualness of the main result.

关键词： Topology Switches Laplace equations Output feedback Eigenvalues and eigenfunctions Adaptive control

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流程工业制造系统智能化——人工智能与流程制造深度融合

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Engineering 2019年第6期 980-981页

作者：钱锋 Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

近年来,流程工业制造系统智能化得到了国内外学术界和工业界的高度关注和重视。各国政府联合学术界、工业界纷纷推出了智能制造的战略计划,其主要理念是在工业物联网基础上"通过融合知识的企业级资源计划优化、调度优化和生产过程... 详细信息

近年来,流程工业制造系统智能化得到了国内外学术界和工业界的高度关注和重视。各国政府联合学术界、工业界纷纷推出了智能制造的战略计划,其主要理念是在工业物联网基础上"通过融合知识的企业级资源计划优化、调度优化和生产过程优化实现过程工业的升级转型"。然而,

关键词：人工智能流程制造流程工业深度融合

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Multiple Model Predictive control with Undisturbed Switch for Wind Turbines System

Multiple Model Predictive Control with Undisturbed Switch fo...

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Asian control Conference

作者： Xianda Huang Tianhong Pan Zhengming Li Shihong Ding Tan Shuai School of Electrical & Information Engineering Jiangsu University Zhenjiang Jiangsu China Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai PR China

ISBN: (纸本)9781509015740;9781509015733

The variable-speed, variable-pitch speed wind turbines are widely used in the wind-energy system. However, the fluctuation of power generation is serious because of the erratic speed of wind and the nonlinearity of the energy conversion systems (ECS). How to keep the ECS work well during the whole operating region is a challenge issue. In this paper, a multiple model predictive control (MMPC) using the state estimation is present to solve this issue. The whole operating region is divided into several sub-regions according to the wind's speed, in which several linear models and corresponding MPCs are constructed. The state variables of each local model are estimated by using the Kalman filter. A new switching criterion without perturbation is present to keep the MMPC works well at the different operating region switching. Considering the operating constraints, a quadratic programming procedure is used to calculate the optimal value of MMPC. Comparing the conventional PI controller, the proposed control achieves a good performance and reduces the fluctuation of power generation. Simulation results show the excellent performance of the present method.

关键词： Wind speed Generators Wind turbines Torque Switches Predictive control Wind energy

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Initial-Parameter-Criterion based Gaussian Mixture Model Monitoring Method for Non-Gaussian Process

Initial-Parameter-Criterion based Gaussian Mixture Model Mon...

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第37届中国控制会议

作者： Ying Tian Wenli Du Shanghai Key Lab of Modern Optical System School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

Gaussian mixture model(GMM) monitoring method is commonly used for non-Gaussian process monitoring. In GMM monitoring method, the final number of Gaussian components and the statistical distribution parameters are estimated through the improved Figueiredo-Jain(F-J) algorithm in the modeling phase. However, the data dimensionality of modern industry is high, the number of initial Gaussian components is large for the accuracy of the algorithm. Under this condition, the relative small number of samplings makes the denominator in the weight estimation formula of the improved F-J algorithm become zero and the algorithm suspends. To make the algorithm work well in an acceptable modeling time, we deduce the Initial-ParameterCriterion among initial Gaussian components, data dimension, sampling number and propose the Initial-Parameter-Criterion based GMM(IPC-GMM) monitoring method. The proposed monitoring method is used for TE process monitoring, simulation results reveal the effectiveness and necessity of IPC-GMM monitoring method.

关键词： non-Gaussian process monitoring Gaussian mixture model Initial-Parameter-Criterion

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智能优化制造:流程工业转型发展的关键

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Engineering 2017年第2期 7-8页

作者：钱锋 Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology

近年来,智能制造成为世界各国竞争和合作的焦点,主要发达和发展中国家纷纷加快战略规划和布局。德国、美国、中国相继发布了"工业4.0"战略、"智能过程制造"以及《中国制造2025》战略,旨在将信息、计算与通信技术与... 详细信息

近年来,智能制造成为世界各国竞争和合作的焦点,主要发达和发展中国家纷纷加快战略规划和布局。德国、美国、中国相继发布了"工业4.0"战略、"智能过程制造"以及《中国制造2025》战略,旨在将信息、计算与通信技术与生产制造技术深度融合,实现产品、设备、人和组织之间的无缝集成与合作。流程工业主要包括石油、化工、钢铁、有色、建材等基础原材料工业,不仅是中国、也是美国等世界制造业大国的国民经济支柱和基础产业。经过数十年发展,

关键词：流程工业智能优化智能制造

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