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Proceedings of the 33rd Chinese control Conference, CCC 2014

作者： Zou, Yuanyuan James, Lam Niu, Yugang Li, Dewei Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai200237 China Department of Mechanical Engineering University of Hong Kong Hong Kong Department of Automation Shanghai Jiao Tong University Shanghai200240 China

ISBN: (纸本)9789881563842

This paper studies a synthesis approach to predictive control for networked control systems with data loss and quantization. An augmented Markov jump linear model with polytopic uncertainties is modeled to describe the quantization errors and possible data loss. Based on this model, a predictive control synthesis approach is developed, which involves online optimization of a infinite horizon objective and conditions to deal with system constraints. The proposed MPC algorithm guarantees closed-loop mean-square stability and constraints satisfaction. © 2014 TCCT, CAA.

关键词： Networked control systems

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Prediction of Cracking Gas Compressor Performance and Its Application in process optimization

Prediction of Cracking Gas Compressor Performance and Its Ap...

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第23届过程控制会议

作者： Shaojun Li Feng Li Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of

In ethylene plant, charge gas compressor is one of the most important units. The charge gas compressor usually is a centrifugal compressor. The information of centrifugal compressors’ performance is not applicable to all of the conditions, which restricts the operation optimization of the compressor. To solve this problem, a tri-layer BP neural network was introduced to model the performance of compressor by using the data provided by manufacturers. The input data of the model in other conditions should be corrected according to the similar theory. At last, the method was used to optimize the system of charge gas compressor by embedding compressor performance model into the ASPEN PLUS model of compressor. The result shows that it is an effective method to optimize the compressor system.

关键词： Compressor characteristic curve neural-network modeling

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Gross Error Detection and Data Reconciliation using Historical Data

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Procedia Engineering 2011年 15卷 55-59页

作者： Shaochao Sun Dao Huang Yanxue Gong Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education Ecust shanghai 20037 China

With the information technology applied widely to process industry, a large amount of historical data which could be used for obtaining the prior probabilities of gross error occurrence is stored in database. To use the historical data to enhance the efficiency of gross error detection and data reconciliation, a new strategy which includes two steps is proposed. The first step is that mixed integer program technique is incorporated to use the prior information to detect gross errors. The second step is to estimate all detected gross errors and adjust process data with material, energy, and other balance constrains. In this step an improved method is proposed to achieve the same effect with traditional method through adjusting the covariance matrix. Novel prior information criteria are described and performance of this new strategy is compared and discussed by applying the strategy for a challenging test problem.

关键词： data rectification gross error detection mixed integer program projection matrix historical data

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Shape design of the reinforcement for bending load-carrying capacity of under-matched butt joint under four-point bending load

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China Welding 2012年第3期21卷 50-54页

作者：王佳杰杨建国张敬强董志波方洪渊刚铁 State Key Laboratory of Advanced Welding and Joining Harbin Institute of TechnologyHarbin150001 School of Materials and Chemical Engineering Heilongjiang Institute of TechnologyHarbin150050. Institute of Process Equipment and Control Engineering Zhejiang University of TechnologyHangzhou310014

To improve the bending load-carrying capacity （ BLCC） of under-matched butt joint under four-point bending load in the elastic stage, the shape design of the reinforcement is studied based on the theoretics of mechanics of materials. The concept, criterion, realization condition and design proposal of equal bending load-carrying capacity （EBLCC） are put forward. The theoretical analysis results have been verified by the finite element method. The simulation results are coincident basically with the ones of theoretical analysis. The research results show that the shape design of the reinforcement of EBLCC can improve BLCC of under-matched butt joint and the unilateral-side type reinforcement can replace double-side symmetry

关键词： under-matched joint equal bending load-carrying capacity shape design of the reinforcement finite elementmethod

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Robust iterative learning control with quadratic performance index

Robust iterative learning control with quadratic performance...

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作者： Xu, Zuhua Zhao, Jun Yang, Yi Shao, Zhijiang Gao, Furong National Laboratory of Industrial Control Technology Department of Control Science and Engineering Zhejiang University Hangzhou 310027 China Key Laboratory of Advanced Control and Optimization for Chemical Processes Shanghai 200237 China Department of Chemical and Biomolecular Engineering Hong Kong University of Science and Technology Clear Water Bay Kowloon Hong Kong

In this paper, a robust iterative learning control (ILC) designed through a linear matrix inequality (LMI) approach is proposed first, based on the worst-case performance index with ellipsoidal uncertainty and polytopic uncertainty, respectively. Since the design based on worst-case performance index is too conservative, a novel ILC design based on nominal performance index is further proposed, and its robust convergence properties are proven. The latter can give better performance when the nominal model is close to the true process. Simulations have demonstrated the effectiveness and excellent performance of the proposed methods. © 2011 American chemical Society.

关键词： Iterative methods

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Regulation of soil moisture using zone model predictive control

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IFAC-PapersOnLine 2018年第18期51卷 762-767页

作者： Mao, Yawen Liu, Su Nahar, Jannatun Liu, Jinfeng Ding, Feng Department of Chemical & Materials Engineering University of Alberta EdmontonABT6G 2V4 Canada Key Laboratory of Advanced Process Control for Light Industry School of Internet of Things Engineering Jiangnan University Wuxi214122 China

This paper concerns the input-output model identification and zone model predictive control of an agro-hydrological system modeled by a partial differential equation. The primary control objective is to maintain the soil moisture within a desired range which is suitable for grass grow. There is also a secondary control objective which is to reduce the total irrigation amount. First, a linear parameter varying (LPV) model is identified for controller design purpose using a maximum likelihood gradient-based iterative estimation method. Then, based on the LPV model, a zone model predictive control (MPC) is designed which uses an output disturbance and state observer to reduce model-plant mismatch and an asymmetric target zone to reduce irrigation amount under weather uncertainties while maintaining the soil moisture within the target range. Simulation studies show that the LPV model is a good approximation of the original nonlinear model and effectively reduces the online computational load of the MPC, and that the proposed zone MPC can lead to significant water conservation. © 2018

关键词： Model predictive control

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Automatic spike detection based on real-time multi-channel template

Automatic spike detection based on real-time multi-channel t...

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2011 4th International Conference on Biomedical Engineering and Informatics(第四届生物医学工程与信息学国际会议 BMEI 2011)

作者： Zhanfeng Ji Xingyu Wang Satoru Goto Masatoshi Nakamura Takenao Sugi Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education Sc Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education Sc Department of Advanced Systems Control Engineering Saga University Saga Japan

Automatic EEG spike detection provide valuable information for diagnosis of epilepsy. In the past 30 years, a number of algorithms were proposed. However, the basic idea of most algorithms is to identify spike activities. We have developed an algorithm based on identify non-spike activities for off-line analysis. In this paper, we improved the algorithm for online application using real-time template. Template method is a typical spike detection method. It was not widely employed because of the difficulty of making template. Our results suggested that multichannel template is meaningful and effective for real-time detection. Spike activities can be detected with a delay of about 2 s. We also designed an simple user-friendly monitor interface for monitor and review spike events in real-time.

关键词： spike detection real-time multi-channel template

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Regularized CSP with Fisher's criterion to improve classification of single-trial ERPs for BCI

Regularized CSP with Fisher's criterion to improve classific...

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2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012

作者： Zhang, Yu Zhao, Qibin Zhou, Guoxu Wang, Xingyu Cichocki, Andrzej Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China Laboratory for Advanced Brain Signal Processing Brain Science Institute RIKEN Wako-shi Saitama 351-0198 Japan

ISBN: (纸本)9781467300223

A brain-computer interface (BCI) based on the combination of oddball paradigm and face perception has been introduced. Such BCI mainly exploits three event-related potential (ERP) components, namely vertex positive potential (VPP), N170 and P300 instead of only P300. With different temporal and spatial distributions of the three ERP components, a regularized common spatial pattern (CSP) with Fisher's criterion (FC), named FCCSP, is proposed to extract the most discriminative features for single trial classification of ERP components. With linear discriminant analysis (LDA) classifier, the proposed FCCSP spatial filtering method yields an average classification accuracy of 95.4% on seven healthy subjects for single-trial ERP components, which outperforms no spatial filtering, the CSP and the FC. © 2012 IEEE.

关键词： Brain computer interface

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Synchronization of multilayer networks with stochastic 11

Synchronization of multilayer networks with stochastic

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2017 11th Asian control Conference, ASCC 2017

作者： He, Wangli Lv, Siqi Peng, Chen Qian, Feng Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China School of Mechatronic Engineering and Automation Shanghai University 200072 China

ISBN: (纸本)9781509015733

This paper is concerned with synchronization in a network with two different types of interactions, formulated by multilayer networks. A switching law between the two layers is proposed, which follows a Bernoulli distribution. An appropriate mathematical model is constructed firstly to describe multilayer networks with stochastic switching layers. Then a mean square synchronization criterion is derived, which is followed by an alternative sufficient condition. Comparisons with the existing work are also included. Finally, an example is given to verify the theoretical results. © 2017 IEEE.

关键词： Synchronization

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

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Chinese Journal of chemical Engineering 2015年第12期23卷 1945-1950页

作者：李晨黄彪钱锋 Key Laboratory of Advanced Control and Optimization Ministry of EducationEast China University of Science and Technology Department of Chemical and Materials Engineering University of Alberta

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.

关键词： control performance monitoring Kernel density estimation Hellinger distance Nonlinear system

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