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第三十三届中国控制会议

作者： Sumei Chu Wangli He Qing-Long Han Feng Qian The Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Centre for Intelligent and Networked Systems Central Queensland University Rockhampton QLD 4702Australia

ISBN: (纸本)9781479947249

This paper investigates synchronization of complex dynamical networks with distributed-delay coupling via impulsive *** on the theory of impulsive functional differential equations and the concept of an average impulsive interval,sufficient conditions ensuring synchronization are *** illustrative example is given to show the effectiveness of the proposed method.

关键词： Synchronization,Impulsive control,Distributed-delay coupling

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An immune inspired approach to 802.11 Wireless LANs coverage optimization

An immune inspired approach to 802.11 Wireless LANs coverage...

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International Conference on Information Networking and Automation (ICINA)

作者： Xuan Zhou Rongbin Qi Qian Li Feng Qian Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China School of Electronics and Information University of Tongji Shanghai China

ISBN: (纸本)9781424481040

Coverage optimization is a critical issue in 802.11 Wireless LANs planning problems. In this paper an immune network algorithm named opt-aiNet is studied in order to automatize the planning process by optimizing the BS's (Base Station) sites. Compared the results of opt-aiNet and genetic algorithms(GA) which have been used in radio coverage optimization before, we found that opt-aiNet could find the optimal solution all times while GA falling into local optimum solution sometimes, and opt-aiNet converged more quickly than GA in most cases. Experimental results show that opt-aiNet is an effective way to optimize the 802.11 Wireless LANs planning problems.

关键词： Education Gallium Indexes Computational modeling

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Predictive control for Continuous Stirred Tank Reactors

Predictive Control for Continuous Stirred Tank Reactors

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2019 International Conference on Informatics, control and Robotics 2019信息学、控制和机器人学国际会议(ICICR2019)

作者： Ioana NASCU Ioan NASCU Wen-li DU Sai GU Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Department of Chemical and Process Engineering University of Surrey Department of Automation Technical University of Cluj-Napoca

The paper focuses on the implementation of a model based predictive control(MBPC) method, for Continuous Stirred Tank Reactors. First, the modelling problem of a single irreversible exothermic reaction, taking place in a perfectly mixed continuously stirred tank reactor(CSTR) is presented. The dynamic model consists of differential material and energy balance equations. The control strategy is investigated and evaluated by performing simulations and analyzing the results. The disturbance rejection capacity of the control system(regulatory control performances) have been tested and compared with those obtained using a classical Proportional Integral Derivative(PID) based controller. The results show that this control strategy has good performances and can be efficiently used to control the CSTR.

关键词： Predictive control PID control chemical reactor Process model

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Network design for distributed consensus estimation over heterogeneous sensor networks 19

Network design for distributed consensus estimation over het...

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19th IFAC World Congress on International Federation of Automatic control, IFAC 2014

作者： Yang, Wen Shi, Ling Yuan, Ye Wang, Xiaofan Shi, Hongbo Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China Department of Electronic and Computer Engineering Hong Kong University of Science and Technology Hong Kong Hong Kong Department of Engineering University of Cambridge United Kingdom Department of Automation Shanghai Jiao Tong University Shanghai200240 China

ISBN: (纸本)9783902823625

This paper considers distributed estimation over heterogeneous sensor networks. We propose a distributed estimation strategy based on PageRank algorithm, where the link weight depends on the edge estimation covariances. We prove that the proposed estimator obtains better estimates than one typical estimator under identical initial conditions. Motivated by the advantage of the sensors with high accuracy locating at important positions, we propose an optimal sensor deployment strategy to arrange locations for sensors in a given physical network. Numerical examples are provided to demonstrate the effectiveness of the proposed estimator, showing a better performance under the optimal sensor deployment. © IFAC.

关键词： Sensor networks

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Hellinger distance based probability distribution approach to performance monitoring of nonlinear control systems

Hellinger distance based probability distribution approach t...

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作者： Li, Chen Huang, Biao Qian, Feng Key Laboratory of Advanced Control and Optimization Ministry of Education East China University of Science and Technology Shanghai200237 China Department of Chemical and Materials Engineering University of Alberta EdmontonABT6G 2G6 Canada

control performance monitoring has attracted great attention in both academia and industry over the past two decades. However, most research efforts have been devoted to the performance monitoring of linear control systems, without considering the pervasive nonlinearities (e.g. valve stiction) present in most industrial control systems. In this work, a novel probability distribution distance based index is proposed to monitor the performance of non-linear control systems. The proposed method uses Hellinger distance to evaluate change of control system performance. Several simulation examples are given to illustrate the effectiveness of the proposed method. © 2015 The chemical Industry and Engineering Society of China, and chemical Industry Press. All rights reserved.

关键词： Probability distributions

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Removal of EEG artifacts for BCI applications using fully Bayesian tensor completion

Removal of EEG artifacts for BCI applications using fully Ba...

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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Yu Zhang Qibin Zhao Guoxu Zhou Jing Jin Xingyu Wang Andrzej Cichocki Key Laboratory for Advanced Control and Optimization for Chemical Processes East China University of Science and Technology China Laboratory for Advanced Brain Signal Processing RIKEN Brain Science Institute Japan Skolkowo Institute of Science and Technology Moscow Russia

High accuracy of electroencephalogram (EEG) classification can hardly be achieved if the signals are contaminated by severe artefacts. One helpless way to avoid such artefacts is usually to directly discard the severely disturbed EEG segments. This study considers a more elegant way that tries to recover the disturbed segments from other undisturbed segments. The possible artefacts in EEG are treated as missing values. A Bayesian tensor factorization (BTF) based method is proposed to implement EEG completion for artefact removal. By specifying a sparsity-inducing hierarchical prior, the underlying low-rank tensor is discovered from incomplete EEG tensor with automatically inferred model parameters. The EEG missing values are effectively predicted with robustness to overfitting. Effectiveness of the BTF algorithm is demonstrated on EEG data recorded from seven subjects in a brain-computer interface paradigm based on event-related potentials.

关键词： Electroencephalography Tensile stress Bayes methods Brain modeling Feature extraction Brain-computer interfaces Electric potential

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Assessment of Texaco syngas components using extreme learning machine based quantum neural network

Communications in Computer and Information Science

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Communications in Computer and Information Science 2013年 355卷 221-229页

作者： Xu, Wei Wang, Raofen Gu, Xingsheng Sun, Youxian State Key Laboratory of Industrial Control Technology Zhejiang University 310027 Hangzhou China Department of Automation Shanghai University of Engineering Science 201620 Shanghai China Key Laboratory of Advanced Control Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology 200237 Shanghai China

Quantum neural computing has nowadays attracted much attention, and tends to be a candidate to improve the computational efficiency of neural networks. In this paper, a new quantum neural network (QNN) is proposed based on quantum mechanics of superposition and collapse, etc. Instead of gradient descent methods and evolutionary algorithms, extreme learning machine (ELM) is introduced to analytically identify the parameters of the QNN. The ELM-QNN model is applied to the online and real-time assessment of the syngas components in a Texaco gasification process. The application would effectively avoid the problems of time delay and low accuracy which result from the manual analysis. In order to eliminate the redundant information stored in variables, principal component analysis (PCA) is adopted to reduce the number of input variables of ELM-QNN. The results indicate that ELMQNN combined with PCA method has satisfied computational accuracy and efficiency. The PCA-ELM-QNN is very capable of being used for the real-time measurement of Texaco syngas components. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Principal component analysis

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Impulsive quasi-synchronization of delayed dynamic networks with asymmetric connections

Impulsive quasi-synchronization of delayed dynamic networks ...

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Annual Conference of Industrial Electronics Society

作者： Wangli He Chen Peng Feng Qian Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai China School of Mechatronic Engineering and Automation Shanghai University P.R. China

Quasi-synchronization of heterogenous dynamic networks is studied by using impulsive control in this paper. The asymmetric network connections are considered. First, the weighted average state is introduced as the virtual leader. By defining the synchronization error between the virtual leader and the network node, impulsive quasi-synchronization is analyzed and a criterion is derived to ensure quasi-synchronization in the delayed heterogenous network. Then delayed networks with symmetric connections and delay-free networks are studied, respectively, with simpler conditions obtained. Numerical simulations demonstrate the effectiveness of the derived results.

关键词： Synchronization Heterogeneous networks Eigenvalues and eigenfunctions Trajectory Network topology optimization chemical processes

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流程工业智能优化制造的基础理论与关键技术

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Engineering 2017年第2期 14-27页

作者：钱锋钟伟民杜文莉 Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology

本文围绕流程工业转型升级的重大需求,剖析了当前流程工业在经营决策层面、生产运行层面、能效安环层面和信息集成层面存在的主要问题,提出了利用现代信息技术从生产、管理以及营销全过程优化出发,推进以高效化、绿色化和智能化制造为... 详细信息

本文围绕流程工业转型升级的重大需求,剖析了当前流程工业在经营决策层面、生产运行层面、能效安环层面和信息集成层面存在的主要问题,提出了利用现代信息技术从生产、管理以及营销全过程优化出发,推进以高效化、绿色化和智能化制造为目标的流程工业智能优化制造的愿景目标。围绕制造过程从装备智能化到制造流程、操作模式、供应链管理等自适应智能优化,以需求驱动、应用导向为主,提出了当前亟须研究的核心工程科学问题,即:(1)生产与经营全过程信息智能感知与集成;(2)知识驱动的生产过程计划调度与管理决策;(3)人机物自然交互的生产过程全流程协同控制与优化;(4)全生命周期安全环境足迹监控与风险溯源分析及控制。并围绕核心科学问题进一步提出了拟突破的流程工业智能优化制造的基础理论与关键技术。

关键词：流程工业智能优化制造绿色制造高端制造最优性评价

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Effective Resource Allocation in Cooperative Co-evolutionary Algorithm for Large-Scale Fully-Separable Problems

Effective Resource Allocation in Cooperative Co-evolutionary...

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IEEE International Conference on Systems, Man and Cybernetics

作者： Wei Du Le Tong Yang Tang Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai China The College of Information Mechanical and Electrical Engineering Shanghai Normal University Shanghai China

ISBN: (数字)9781728185262

ISBN: (纸本)9781728185279

This paper investigates the effective computational resource allocation for large-scale fully-separable problems under the framework of a cooperative co-evolutionary algorithm called MLSoft. According to different subgroup sizes of the problems, we allocate different numbers of iterations to the subproblems in all the cycles. For high-dimensional subproblems, more iterations are needed during the optimization process; while for low-dimensional subproblems, fewer iterations will be assigned. The experimental results reveal that the proposed resource allocation scheme is simple but effective, which can enhance the performance of MLSoft in solving large-scale fully-separable problems. In addition, we conduct a group of experiments to evaluate the results if a higher weight is assigned to more recent performance in MLSoft. The results show that introducing weight to the latest reward affects very little on the performance of MLSoft.

关键词： Adaptive systems Conferences Resource management optimization

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