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Communications in Computer and Information Science 2014年 461卷 137-149页

作者： Wu, Shengxi Ye, Qiang Shen, Kai Gu, Xingsheng Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China

Measurement data usually do not reflect actual chemical processes correctly because of inevitable errors in measurement, which is known as unbalance of measurement data. Data reconciliation and gross error detection are methods of processing measuring instruments that are inconsistent with mass and energy balances. At present, research on data reconciliation mainly focuses on the steady state model of the linear system. However, data reconciliation cannot be implemented in cases of sudden changes in production conditions, operations or instability, or discontinuous data acquisition. An improved Bayesian based on wavelet package denoising for data reconciliation is proposed. After a measurement signal is decomposed into a certain level, the optimal tree is selected with Bayesian classification. Bayesian classification was used to select the node of the optimal tree that would accelerate the calculation speed. The simulation and the coking chemical application show that the improved denoising method contributes to the effectiveness and efficiency of data reconciliation. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Forestry

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A fast colorization algorithm for infrared video

Communications in Computer and Information Science

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Communications in Computer and Information Science 2014年 462卷 282-292页

作者： He, Mengchi Gu, Xiaojing Gu, Xingsheng Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China

ISBN: (纸本)9783662452608

Color night-vision technology increases the representation ability of monochrome night-vision imagery by adding color to it, making observers’ understanding easier. Usually the color night-vision methods require the infrared and the low-light-level images at the same time, which hinders their application in the environment where totally without light or covered by heavy rain and thick fogs. To expand the application area of color night-vision technology, we propose a quickly colorization method based only on single band infrared video, which can provide all weather condition working. This method only requires a few pixels to be manually set with chrome values, and then the entire frame as well as the following frame sequence is automatically colorized. Experiments show that the colorization results are satisfactory and the algorithm is running fast. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Vision

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Quantized H_∞ control for Networked Systems with Randomly Multi-Step Transmission Delays

Quantized H_∞ Control for Networked Systems with Randomly M...

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Annual Conference of the IEEE Industrial Electronics Society

作者： Yilian Zhang Fuwen Yang Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology

ISBN: (纸本)9781479940318

In this paper, a quantized H_∞ control problem for networked control systems (NCSs) subject to randomly multi-step transmission delays is investigated. A quantizer is used before the measurement signal enters the communication network and the randomly multi-step transmission delays which are described by a mathematical model are considered during the transmission through the network. Sufficient conditions are derived for the considered system to satisfy the H_∞ norm constraint subject to the randomly multi-step transmission delays. Simulation results demonstrate the effectiveness of the proposed method.

关键词： Networked control systems Communication networks H infinity control Linear feedback control systems Quantization Robust control Delay systems Stochastic processes

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Modeling and optimization for the Molecular Weight Distribution of Polyethylene based on the Multi-output Support Vector Machine

Modeling and Optimization for the Molecular Weight Distribut...

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第25届中国过程控制会议

作者： Ye Zhencheng Li Yun Luo Na Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

the Molecular weight distribution(MWD)is an important quality index for the polymer material,but detecting the MWD in real-time is still difficult by *** rapid real-time detection method for MWD with good accuracy is the current hotspot in the polymer *** from the method other literatures have described,in this work the reaction mechanism and the industrial information will be merged to build a hybrid model for the MWD to solve the prediction accuracy and real-time problems,using the weighted superposition of the distribution function on each active center of catalyst to fit the MWD and applying the multi-output support vector machine regression(MSVR)algorithm to describe the relationship between process conditions and the parameters of distribution *** the unconstrained nonlinear optimization method has been used to optimize the process conditions based on the hybrid ***,the application of the above-mentioned approach in the ethylene polymerization process has verified the feasibility.

关键词： polyethylene,molecular weight distribution,modeling,optimization,multi-output support vector machine

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Based on estimation of distribution algorithms for solving unrelated parallel machine scheduling problem

Based on estimation of distribution algorithms for solving u...

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第25届中国过程控制会议

作者： Sun zewen Gu xingsheng Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

In recent years,the technology accelerates the fierce competition of *** the information explosion,the research on process scheduling gets more *** paper summarizes the previous studies about unrelated parallel machine scheduling problem,then gives a detailed mathematical description for the unrelated parallel machine scheduling *** with the development of intelligent optimization algorithms,it puts forward an improved estimation of distribution algorithms IEDANS to solve the unrelated parallel machine scheduling *** ideas about VNS also integrated into the *** the advantages and disadvantages of intelligent algorithms,the actual application process presents a new encoding for the *** using the processing time matrix,the algorithm can get more knowledge of the *** simulation results show that the IEDANS algorithm can solve the problem *** can converge to the global optimization without costing much time.

关键词： Estimation of distribution algorithms（EDA） unrelated parallel machine knowledge of processing matrix

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Activated sludge model parameters calibration based on multi-objective PSO

Activated sludge model parameters calibration based on multi...

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2014 International Conference on Environmental Engineering and Computer Application (ICEECA 2014)

作者： R.R.Wang L.L.Cao M.D.Liu Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology

The model of an Orbal oxidation ditch activated sludge process was set up based on ASM3 and Takacs' s double index settlement rate of secondary sedimentation tank model in this paper. According to the condition of the multi-objective output simulation model, multi-objective particle swarm optimization algorithm(MOPSO) is used to calibrate part of the high sensitivity parameters in the activated sludge process model. Simulation results show that the effectiveness of MOPSO for parameter calibration is obvious, which can further improve the accuracy of the model.

关键词： ASM MOPSO Activated sludge model parameters calibration based on multi-objective PSO

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Improved Performance of Process Monitoring Based on Selection of the key Principal Components

Improved Performance of Process Monitoring Based on Selectio...

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第25届中国过程控制会议

作者： Bing Song Yuxin Ma Hongbo Shi Key laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology

Conventional principal component analysis（PCA）-based methods can conduct dimensionality reduction on process variables and can obtain low-dimensional representations that capture most of the variance information in the original data ***,principal components（PCs）with larger variance of normal data cannot guarantee the capture of the largest variations in fault data since the fault information is complicated and *** other words,the last PCs with smaller variance may be as important as those with larger ***,PCs selection based on variance in the PCA is subjective,which can lead to information loss and poor monitoring *** address both dimension reduction and information preservation simultaneously,this paper proposes a novel PCs selection scheme named full variable expression（FVE）.On the basis of the proposed relevance of variables with each principal component,the key principal components can be *** relevance indicates the expression degree of the original variables on each principal *** the key principal components serve as a low-dimensional representation of the entire original variables,thereby preserving the information of the original data space without undergoing information loss.A squared Mahalanobis distance,which is introduced as the monitoring statistic,is calculated directly in the key principal components space for fault *** order to test the modeling and monitoring performance of the proposed method,a numerical example and the Tennessee Eastman（TE）benchmark case studies are provided.

关键词： Principal Component Analysis Information Loss Fault Detection key Principal Components

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Consensusability of Linear Multi-Agent Systems over Analog Fading Networks via Dynamic Output Feedback 33

Consensusability of Linear Multi-Agent Systems over Analog F...

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第三十三届中国控制会议

作者： Xu Liang Xiao Nan Xie Lihua EXQUISITUS Centre for E-CitySchool of Electrical and Electronic EngineeringNanyang Technological University Key Laboratory of Advanced Control and Optimization for Chemical Process (East China University of Science and Technology) Ministry of Education

ISBN: (纸本)9781479947249

This paper studies the dynamic output feedback consensus problem of multi-agent systems over analog fading *** the case of undirected communication topology,both sufficient and necessary conditions are presented for mean square consensus of discrete-time LTI multi-agent systems over analog fading *** is further shown that in the case of single output,the sufficient condition is also necessary,while for other cases,the gap between the sufficient condition and the necessary condition may be ***,sufficient and necessary conditions are also provided for the mean square consensus over a balanced directed communication topology by using Lyapunov *** the derived criteria demonstrate intricately how system dynamics,communication quality and network topological structure interplay with each other to allow the existence of a linear distributed consensus controller.

关键词： discrete-time multi-agent systems,dynamic output feedback,consensusability,fading channels

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Event-triggered model predictive control for wireless networked control system

Event-triggered model predictive control for wireless networ...

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International Conference on Mechatronics and control (ICMC)

作者： Quan Wang Yuanyuan Zou Yugang Niu Key Laboratory of Advanced Control and Optimization for Chemical Processes East China Univ. of Science and Technology Shanghai China

ISBN: (纸本)9781479925391

In order to save communication consumption in the wireless nodes of networked control systems, this paper investigates the stabilization problem of an event-triggered constrained model predictive control. A state-feedback predictive control law is designed by solving an infinite horizon performance objective and an event-triggered condition involving the norm of a measurement error is derived based on input-to-state stability. Under the proposed mechanism, the measurements are sent by wireless network and the predictive control optimization is implemented only when the triggering conditions are satisfied. This approach not only can alleviate the energy consumption but also achieves the desired control performance and constraints satisfaction. Finally, an example is given to illustrate the effectiveness of the proposed results.

关键词： Predictive control Wireless sensor networks Networked control systems Closed loop systems Wireless networks

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A Fast Global Group Search Optimizer algorithm

A Fast Global Group Search Optimizer algorithm

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International Conference on Information and Automation (ICIA)

作者： Kang Zhang Xingsheng Gu Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Ministry of Education Shanghai

The Group Search Optimizer(GSO) is a novel optimization algorithm, which is inspired by searching behavior of animals. In this paper, we proposed an improved GSO algorithm named Fast Global Group Search Optimizer(FGGSO) to increase searching speed and balance the exploitation and exploration of the algorithm, which is based on our previous works. At first time, considering the complexity and time-consuming design of the producer's angle searching strategy, a novel local search mechanism, named campaign strategy, is developed, which is inspired by competition and cooperation between candidates in an electoral process. After that, a reconstruction operation is applied in searching process to guarantee the avoidance of the local minimum. The algorithm is evaluated on a set of 11 numerical optimization problems and compared favorably with other version of GSOs. Experimental results indicate the remarkable improvement on the performance of these problems.

关键词： optimization Standards Animals Acceleration Biological system modeling Convergence Search problems

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