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第三十四届中国控制会议

作者： TANG Yang DU Wei The Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology The Institute of Textiles and Clothing The Hong Kong Polytechnic University

ISBN: (纸本)9781467374439

This paper addresses robust multiobjective identification of driver nodes in the neuronal network of a cat's brain,in which uncertainties in determination of driver nodes and control gains are considered. A framework by including interval uncertainties is proposed for robust controllability. It is revealed that the existence of uncertainties in choosing driver nodes and designing control gains heavily affect the controllability of neuronal networks.

关键词： Synchronization,Neuronal networks,controllability,Robustness,Multiobjective optimization

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A Multi-dimensional Trust-aware Cloud Service Selection Mechanism Based on Evidential Reasoning Approach

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International Journal of Automation and computing 2015年第2期12卷 208-219页

作者： Wen-Juan Fan Shan-Lin Yang Harry Perros Jun Pei School of Management Hefei University of Technology Department of Computer Science North Carolina State University The Ministry of Education Key Laboratory of Process Optimization and Intelligent Decision Making Department of Industry and System Engineering University of Florida

In the last few years, cloud computing as a new computing paradigm has gone through significant development, but it is also facing many problems. One of them is the cloud service selection problem. As increasingly boosting cloud services are offered through the internet and some of them may be not reliable or even malicious, how to select trustworthy cloud services for cloud users is a big challenge. In this paper, we propose a multi-dimensional trust-aware cloud service selection mechanism based on evidential reasoning(ER) approach that integrates both perception-based trust value and reputation based trust value, which are derived from direct and indirect trust evidence respectively, to identify trustworthy services. Here, multi-dimensional trust evidence, which reflects the trustworthiness of cloud services from different aspects, is elicited in the form of historical users feedback ratings. Then, the ER approach is applied to aggregate the multi-dimensional trust ratings to obtain the real-time trust value and select the most trustworthy cloud service of certain type for the active users. Finally, the fresh feedback from the active users will update the trust evidence for other service users in the future.

关键词： Cloud service selection multi-dimensional trust evidence trust and reputation evaluation evidential reasoning(ER) clond service

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3-D full-loop simulation of a high-density circulating fluidized bed

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Kung Cheng Je Wu Li Hsueh Pao/Journal of Engineering Thermophysics 2016年第7期37卷 1459-1463页

作者： Yin, Shang-Yi Zhong, Wen-Qi Jin, Bao-Sheng Lu, Ping Ministry of Education of Key Laboratory of Energy Thermal Conversion and Control School of Energy & Environment Southeast University Nanjing210096 China Engineering Laboratory of Energy System Process Conversion and Emission Reduction Technology of Jiangsu Province School of Energy and Mechanical Engineering NNU Nanjing210042 China

Three-dimensional (3-D) simulations have been developed to simulate the flow behaviors in a full-loop high-density circulating fluidized bed with different riser exit geometry. The Large Eddy Simulation (LES) turbulence model is used for gas phase, and the multiphase particle-in-cell (MP-PIC) model is used for solid phase. The influences of five different riser exit geometries upon the solid mass flux, pressure distribution, the particle concentration and velocity distribution were systematically investigated. It is shown that (i) the type of exit has a significant effect on solid mass flux, local pressure loss and particle concentration;(ii) compared with the rest of the four kinds of exit, the use of type C smooth exit results in the higher solid mass flux and particle concentration in the circulating fluidized bed;(iii) pronounced asymmetry can be found in radial distribution of solids concentration in the high flux riser with asymmetric exit, the time-averaged solids concentration at the exit side was larger than the opposite side. © 2016, Science Press. All right reserved.

关键词： Fluidized beds

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Robust visual tracking with improved collaborative representation

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ICIC Express Letters, Part B: Applications 2016年第4期7卷 789-795页

作者： Liu, Chenhua Kong, Jun Jiang, Min Tian, Shengwei Key Laboratory of Advanced Process Control for Light Industry Ministry of Education Jiangnan University No. 1800 Lihu Avenue Wuxi214122 China College of Electrical Engineering Xinjiang University No. 14 Shengli Road Urumqi830047 China

Visual tracking is a challenging problem for the appearance changes caused by extrinsic and intrinsic factors. In this paper, a robust object tracking algorithm exploiting both collaborative representation and coding residual is proposed within the Bayesian inference framework. To solve the constrained convex optimization problem, we propose an effective numerical algorithm for the minimization problem based on the Augmented Lagrange Multiplier (ALM) method, which guarantees the object representation to be solved efficiently. Extensive experimental results on several challenging sequences confirm the effectiveness of the approach, which significantly outperforms competitive trackers in terms of accuracy measures including the overlap ratio and center location error, respectively. © 2016, ICIC Express Letters Office. All rights reserved.

关键词： Bayesian networks

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Financing constraints, principal-agent and Chinese listed firms’ output efficiency

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International Journal of u- and e- Service, Science and technology 2016年第8期9卷 189-200页

作者： Zhu, Weidong Wang, Yiling Liu, Jingyu School of Economics Hefei University of Technology HefeiAnhui230009 China School of Management Hefei University of Technology HefeiAnhui230009 China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education HefeiAnhui230009 China

It is shown that output under financing constraints and principal-agent can be modeled as a one-side deviation from a frictionless output level. The effects of financing constraints and principal-agent can be identified and quantified by imposing a distribution assumption on the effects. Panel data on Chinese listed firms between 2008 and 2013 are used in the estimation. It is found that: (1) the output efficiency of Chinese listed firms is significantly affected by financing constraints and principal-agent;(2) the severity of financing constraints and principal-agent of firms in different regions varies;(3) firms’ output efficiency in east China varies greatly, and the mean efficiency is the lowest of the three regions. © 2016 SERSC.

关键词： Efficiency

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Research of Improved Fuzzy c-means Algorithm Based on a New Metric Norm

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Journal of Shanghai Jiaotong university(Science) 2015年第1期20卷 51-55页

作者：毛力宋益春李引杨弘肖炜 Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) School of Internet of Things Jiangnan University Freshwater Fisheries Research Center Chinese Academy of Fishery Science

For the question that fuzzy c-means(FCM)clustering algorithm has the disadvantages of being too sensitive to the initial cluster centers and easily trapped in local optima,this paper introduces a new metric norm in FCM and particle swarm optimization(PSO)clustering algorithm,and proposes a parallel optimization algorithm using an improved fuzzy c-means method combined with particle swarm optimization(AF-APSO).The experiment shows that the AF-APSO can avoid local optima,and get the best fitness and clustering performance significantly.

关键词： fuzzy c-means(FCM) particle swarm optimization(PSO) clustering algorithm new metric norm

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$H_\infty $ Observer Design for Continuous-Time Takagi–Sugeno Fuzzy Model With Unknown Premise Variables via Nonquadratic Lyapunov Function

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IEEE Transactions on Cybernetics 2016年第9期46卷 1986-1996页

作者： Li Kui Wang Hua Guang Zhang Xiao Dong Liu School of Mathematics and Information Science Nanchang Hangkong University Nanchang China Key Laboratory of Integrated Automation of Process Industry (Northeastern University) of the National Education Ministry Shenyang China Research Center of Information and Control Dalian University of Technology Dalian China

This paper deals with the problem of observer design for continuous-time Takagi-Sugeno fuzzy models with unmeasurable premise variables. First, in order to improve the existing results of observer design, a new method is proposed to bound the time derivatives of the membership function. Then, by applying the nonquadratic Lyapunov function and the matrix decoupling technique, the controller gains and observer gains are designed to guarantee that the error system is asymptotically stale. Furthermore, better H∞ performance can be obtained by solving an optimization problem. All of the results are presented as linear matrices inequalities and three examples are provided to demonstrate the merits of the proposed approach.

关键词： Observers Lyapunov methods Fuzzy systems Symmetric matrices Linear matrix inequalities Cybernetics optimization

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Improved performance of process monitoring based on selection of key principal components

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Chinese Journal of Chemical Engineering 2015年第12期23卷 1951-1957页

作者：宋冰马玉鑫侍洪波 Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and TechnologyMinistry of Education

Conventional principal component analysis(PCA) can obtain low-dimensional representations of original data space, but the selection of principal components(PCs) based on variance is subjective, which may lead to information loss and poor monitoring performance. To address dimension reduction and information preservation simultaneously, this paper proposes a novel PC selection scheme named full variable expression. On the basis of the proposed relevance of variables with each principal component, key principal components can be *** the key principal components serve as a low-dimensional representation of the entire original variables, preserving the information of original data space without information loss. A squared Mahalanobis distance, which is introduced as the monitoring statistic, is calculated directly in the key principal component space for fault detection. To test the modeling and monitoring performance of the proposed method, a numerical example and the Tennessee Eastman benchmark are used.

关键词： Principal component analysis Information loss Fault detection key principal component

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optimization of Catalytic Naphtha Reforming process Based on Modified Differential Evolution Algorithm ∗

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IFAC-PapersOnLine 2015年第8期48卷 373-378页

作者： Min Wei Minglei Yang Feng Qian Wenli Du Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education Shanghai CO 200237 PRC Tel: ***

Catalytic naphtha reforming is one of the most important processes for high octane gasoline manufacture and aromatic hydrocarbons production. In this article, a modified differential evolution (DE) algorithm is proposed to optimize an actual continuous catalytic naphtha reforming (CCR) process. The optimization problem considers to minimize the energy consumption and maximize the aromatics yield. The CCR process model is established by adopting the 27-lumped kinetics reaction network, and all parameters are adjusted based on the actual process data. The DE algorithm is modified to maintain the diversity of the population. In this mechanism, individuals further from the best individual have larger possibilities to be selected in the mutation operator. The modified DE is evaluated by solving 6 benchmark functions, and the performance is compared with classic DEs. The results demonstrate that the modified DE has better global search ability and higher computation efficiency. Furthermore, the optimization results of catalytic naphtha reforming process indicate that the proposed algorithm has the ability of locating the optimal operating points, in which the aromatics yield is improved, while energy consumption is reduced. Meanwhile, the optimal operating points and results are discussed at the end of the article.

关键词： Catalytic naphtha reforming process Energy consumption Differential evolution Global search

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Data-driven PID controller Design for Continuous Stirred Tank Reactor 34

Data-driven PID Controller Design for Continuous Stirred Tan...

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第三十四届中国控制会议

作者： XU Dezhi LIU Fei ZHOU Hongcheng ZHANG Qiang Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Institute of Automation Jiangnan University Institute of Information JinLing Institute of Technology School of Electrical Engineering University of Jinan

ISBN: (纸本)9789881563897

Since most chemical processes exhibit severe nonlinear and time-varying behavior, the control of such processes is challenging. In this paper, we propose data-driven controller design method based on lazy learning for chemical processes. Using a lazy learning algorithm, a local valid linear model denoting the current state of system is automatically exacted for adjusting the PID controller parameters based on input/output data. This scheme can adjust the PID parameters in an online manner even if the system has nonlinear properties. The simulation results on the dynamic model of Continuous Stirred Tank Reactor(CSTR) are provided to demonstrate the effectiveness of the proposed new control techniques.

关键词： PID,Data-driven,Lazy learning,Continuous Stirred Tank Reactor(CSTR)

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