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A hybrid specific index-related process monitoring strategy based on a novel two-step information extraction method

Journal of Central South University 2018年第12期25卷 2896-2909页

作者： ZHAO Bo SONG Bing TAN Shuai SHI Hong-bo Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology

A two-step information extraction method is presented to capture the specific index-related information more *** the first step,the overall process variables are separated into two sets based on Pearson correlation *** is process variables strongly related to the specific index and the other is process variables weakly related to the specific *** performing principal component analysis(PCA)on the two sets,the directions of latent variables have *** other words,the correlation between latent variables in the set with strong correlation and the specific index may become ***,the correlation between latent variables in the set with weak correlation and the specific index may be *** the second step,the two sets are further divided into a subset strongly related to the specific index and a subset weakly related to the specific index from the perspective of latent variables using Pearson correlation coefficient,*** subsets strongly related to the specific index form a new subspace related to the specific ***,a hybrid monitoring strategy based on predicted specific index using partial least squares(PLS)and T2statistics-based method is proposed for specific index-related process monitoring using comprehensive *** specific index reflects real-time information for the specific index.T2statistics are used to monitor specific index-related ***,the proposed method is applied to Tennessee Eastman(TE).The results indicate the effectiveness of the proposed method.

关键词： specific index hybrid monitoring strategy two-step information extraction subspace

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Containment control for the Cooperative Output Regulation of Linear Multi-Agent Systems

Containment Control for the Cooperative Output Regulation of...

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第三十二届中国控制会议

作者： SHEN Yanchao YAN Huaicheng ZHANG Hao SHI Hongbo Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education School of Information Science and Engineering East China University of Science and Technology

ISBN: (纸本)9781479900305

In this paper, the containment control problem is studied for the cooperative output regulation of linear multi-agent systems(MASs). The output regulation problem initiated from single-leader-follower region is extended to the multi-leaders-follower region. The purpose of this paper is to design a containment control algorithm such that all the followers can move into the convex hull formed by the leaders. A sufficient and necessary condition in term of a linear matrix inequality (LMI) is derived for the existence of a containment controller protocol that guarantees the followers are capable to follow the trail of leader and the output error will converge to zero with the time elapsing. Then, a controller design procedure is given to construct the feedback gain matrix and select the proper gain matrix for achieving final consensus of the MASs. Compared with the existing algorithms, the proposed one requires less information and calculation of the velocities measurement of the agents. Finally, a numerical example is illustrated to show the usefulness of the designed containment controller.

关键词： Containment control, Linear system, Multi-agent systems, Output regulation

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Event-triggered decentralized predictive control for coupled linear systems 36

Event-triggered decentralized predictive control for coupled...

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第36届中国控制会议

作者： YUAN Fenglin ZOU Yuanyuan NIU Yugang Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Key Laboratory of System Control and Information Processing Department of AutomationShanghai Jiao Tong University

ISBN: (纸本)9781538629185

In this paper,we consider the problem of predictive control for a class of coupled linear *** solving a set of local optimization problems with decoupled cost functions and constraints,an event-triggered decentralized predictive control(DPC) scheme is *** event-triggering conditions only involving local information of every subsystem is derived and sufficient conditions of the recursive feasibility and the stability of close-loop control systems are also ***,a numerical example is given.

关键词： Coupled Linear Systems Decentralized Predictive control(DPC) Event-Triggered

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Path Planning for Mobile Anchor Node in Localization Based on Ad-Hoc Localization Algorithm

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Journal of Donghua University(English Edition) 2014年第2期31卷 212-216页

作者：蒲石祁荣宾靳文浩钱锋 Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology Shanghai Consulting & Academic Activeties Center for Academicians of Chinese Academy of Engineering

For mobile anchor node static path planning cannot accord the actual distribution of node for dynamic adjustment. We take advantage of the high localization accuracy and low computational complexity of ad-hoc localization system( AHLos)algorithm. This article introduces mobile anchor nodes instead of the traditional fixed anchor nodes to improve the algorithm. The result shows that, through introduce the mobile anchor node, the information of initial anchor nodes can be configured more ***,with the use of the approximate location and the transition path,the distance and energy consumption of the mobile anchor node is greatly reduced.

关键词： mobile anchor node path planning ad-hoc localization system(AHLos) approximate location transition path

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A comparison of three electrode channels selection methods applied to SSVEP BCI

A comparison of three electrode channels selection methods a...

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2011 4th International Conference on Biomedical Engineering and Informatics, BMEI 2011

作者： Meng, Lijing Jin, Jing Wang, Xingyu Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Ministry of Education Shanghai China

ISBN: (纸本)9781424493524

There has been increasing interest in using steady-state visual evoked potential (SSVEP) in brain-computer interface systems (BCIs). The electrode channels usually used in SSVEP classification are O1, O2 and Oz. However, optimal results of SSVEP recognition could not be obtained from the same electrode setting (O1, O2 and Oz), which was caused by subject variation. In this paper, three methods (Sequential floating forward selection (SFFS), discrete particle swarm optimization (DPSO) and F-score) were employed to select the optimal electrode channels. The electrode channels obtained by SFFS, DPSO and F-score were compared with traditional electrode channels (i.e., O1, O2 and Oz), which are usually used in SSVEP BCI. The results show that SFFS and DPSO can obtain higher classification accuracy than traditional approach. The results also show that SFFS is superior to DPSO in terms of calculating time, and F-score is not good compared to other two methods. Channel selection can not only reduce features for data analysis but also reduce the time for channel installation. © 2011 IEEE.

关键词： Brain computer interface

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Peak Traffic Forecasting Using Nonparametric Approaches

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上海交通大学学报（英文版） 2012年第1期17卷 76-81页

作者： ZHANG Yang WANG Meng-ling Shanghai Municipal Transportation Information Center Shanghai 200032 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

States of traffic situations can be classified into peak and nonpeak periods. The complexity of peak traffic brings more difficulty to forecasting models. Travel time index (TTI) is a fundamental measure in transportation. How to master the characteristics and provide accurate real-time forecasts is essential to intelligent transportation systems (ITS). Cooperating with state space approach, least squares support vector machines (LS-SVMs) are investigated to solve such a practical problem in this paper. To the best of our knowledge, it is the first time to apply the technique and analyze the forecast performance in the domain. For comparison purpose, other two nonparametric predictors are selected because of their effectiveness proved in past research. Having good generalization ability and guaranteeing global minima, LS-SVMs perform better than the others. Providing sufficient improvement in stability and robustness reveals that the approach is practically promising.

关键词： traffic forecasting peak traffic nonparametric techniques

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Improved shuffled frog leaping algorithm for permutation flow shop scheduling

Improved shuffled frog leaping algorithm for permutation flo...

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2013 International Conference on Information and Communication Technology for education, ICTE 2013

作者： Xu, Zhenhao Xu, Xiao Gu, Xingsheng Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China

This paper studies the scheduling problem in a permutation flow shop with the objective of makespan, which is known as one of major problems in the field of scheduling. In order to solving the corresponding model, an improved shuffled frog leaping algorithm (ISFLA) is put forward for this kind of scheduling problem. A new leaping rule based on the characteristic of the problem is devised to improve the performance of the ISFLA. And it can not only produce feasible solutions but also maintain the structure characteristic of the SFLA. Computational experiments on benchmark sets show that the proposed ISFLA is greatly effective to generate good solutions relative to the other two algorithms. © 2014 WIT Press.

关键词： Scheduling

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Improving the performance of online classifier by removing the error samples from offline training data

Improving the performance of online classifier by removing t...

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IEEE International Conference on Computer and Communications, ICCC 2015

作者： Zhang, Hanhan Jin, Jing Zhou, Sijie Zhang, Yu Wang, Xingyu Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China

ISBN: (纸本)9781467381253

Brain-computer interface (BCI) plays an important role in helping the people with severe motor disability. In event-related potential (ERP) based BCIs, subjects were asked to count the target stimulus in the offline experiment, the recorded electroencephalogram (EEG) data was used to train the classification mode. However, subjects may make mistakes in counting the target stimulus or be affected by the non-target stimulus. The target trials may not contain expected ERPs and the non-target trials may contain unexpected ERPs, which was called error samples. This paper intends to survey whether the classification accuracy could be improved after removing these error samples from offline training data. The result showed that the online performance of BCI system could be improved after selecting the offline samples for training the classification mode. © 2015 IEEE.

关键词： Brain computer interface

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A hybrid method for identifying T-S fuzzy models

A hybrid method for identifying T-S fuzzy models

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2011 8th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2011, Jointly with the 2011 7th International Conference on Natural Computation, ICNC'11

作者： Wang, Honggang Zhao, Liang Du, Wenli Qian, Feng Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China

ISBN: (纸本)9781612841816

This paper presents a hybrid approach to extract compact Takagi-Sugeno fuzzy models from numeric data, using subtractive clustering (SC), particle swarm optimization (PSO) and least square method. The feature of this method lies in the following: (1) the input space is partitioned and initial fuzzy rule bases are extracted by SC;(2) the optimal parameters of the membership functions are evolved by PSO, based on the initial fuzzy rule bases;(3) the consequent parameters of the rule base are analytically derived by the Moore-Penrose pseudo inverse, instead of being iteratively tuned. Simulation results in Mackey-Glass chaotic time series prediction and nonlinear plant modeling problems show that the proposed method is effective and robust in finding compact and accurate T-S fuzzy models. © 2011 IEEE.

关键词： Membership functions

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Optimal design of extractive dividing-wall column using an efficient equation-oriented approach

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Frontiers of chemical Science and Engineering 2021年第1期15卷 72-89页

作者： Yingjie Ma Nan Zhang Jie Li Cuiwen Cao Centre for Process Integration Department of Chemical Engineering and Analytical ScienceSchool of EngineeringThe University of ManchesterManchester M139PLUK Key Laboratory of Advanced Control and Optimization for Chemical Processes(Ministry of Education) East China University of Science and TechnologyShanghai 200237China

The extractive dividing-wall column(EDWC)is one of the most efficient technologies for separation of azeotropic or close boiling-point mixtures,but its design is fairly *** this paper we extend the hybrid feasible path optimisation algorithm(Ma Y,McLaughlan M,Zhang N,Li ***&chemical Engineering,2020,143:107058)for such optimal *** tolerances-relaxation integration method is refined to allow for long enough integration time that can ensure the solution of the pseudo-transient continuation simulation close to the steady state before the required tolerance is *** ensure the gradient and Jacobian information available for optimisation,we allow a relaxed tolerance for the simulation in the sensitivity analysis mode when the simulation diverges under small *** addition,valid lower bounds on purity of the recycled entrainer and the vapour flow rate in column sections are imposed to improve computational *** computational results demonstrate that the extended hybrid algorithm can achieve better design of the EDWC compared to those in *** energy consumption can be reduced by more than 20%compared with existing literature *** addition,the optimal design of the heat pump assisted EDWC is achieved using the improved hybrid algorithm for the first time.

关键词： design extractive dividing-wall column equation-oriented optimisation pseudo-transient continuation model hybrid algorithm

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