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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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Fault detection and identification for a class of nonlinear systems with model uncertainty

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Applied Mathematical Modelling 2016年第15-16期40卷 7368-7381页

作者： Bingyong Yan Housheng Su Wei Ma School of Automation Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education East China University of Science and Technology 130 Meilong Road Shanghai 200237 China School of Automation Key Laboratory of Image Processing and Intelligent Control of Ministry of Education of China Huazhong University of Science and Technology Wuhan 430074 China Key Laboratory for Advanced Materials & Institute of Fine Chemicals East China University of Science and Technology 130 Meilong Road Shanghai 200237 China

In this paper, we present a novel fault detection and identification (FDI) scheme for a class of nonlinear systems with model uncertainty. At the heart of this approach is an on-line approximator, referred to as fault tracking approximator (FTA). Differently from the other approximators, the FTA uses iterative algorithms to detect and identify nonlinear system faults, even in the presence of model uncertainty, which is motivated by predictive control theory and iterative learning control theory. The FTA can simultaneously detect and identify the shape and magnitude of the faults. The rigorous stability analysis and fault tracking properties of the FTA are also proved. Finally, two examples are given to illustrate the feasibility and effectiveness of the proposed approach.

关键词： Fault detection and identification Predictive control Iterative learning control

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Event-triggered distributed predictive control for constrained large-scale linear systems

Event-triggered distributed predictive control for constrain...

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Chinese control Conference (CCC)

作者： Xu Su Yuanyuan Zou Yugang Niu Tinggang Jia Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai Shanghai CN Automation Division Shanghai Electric Group Co. Ltd China

This paper investigates the problem of event-triggered dual-mode distributed predictive control (DPC) for constrained large-scale linear systems subject to bounded disturbances. Based on input-to-state stability (ISS) theory, the event-triggering condition involving information of the subsystem itself is derived. A dual-mode predictive control scheme is designed to reduce information exchanges with neighboring subsystems. The upper bound of disturbances for ensuring the recursive feasibility and closed-loop stability are developed. Finally, a simulation example is given to show that the presented method is able to save computation resources and communication resources while guaranteeing the desired control performance.

关键词： Silicon Predictive control optimization Large-scale systems Stability analysis Trajectory Linear systems

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Online Batch Process Monitoring Based on Just-in-Time Learning and Independent Component Analysis

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Journal of Donghua University(English Edition) 2016年第6期33卷 944-948页

作者： WANG Li SHI Hong-bo School of Electrical and Electronic Engineering Shanghai Institute of Technology Shanghai 200230 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

A new method was developed for batch process monitoring in this paper. In the devdopad method, just-in-time learning （ JITL ） and independent component analysis （ICA） were integrated to build JITL-ICA monitoring scheme. JITL was employed to tackle with the characteristics of batch process such as inherent time- varying dynamics, multiple operating phases, and especially the case of uneven length stage. According to new coming test data, the most correlated segmentation was obtained from batch-wise unfolded training data by JITL. Then, ICA served as the principal components extraction approach. Therefore, the *** distributed data can also be addressed under this modeling framework. The effectiveness and superiority of JITL-ICA based monitoring method was demonstrated by fed-batch penicillin fermentation.

关键词： batch process monitoring just-in-time learning(JITL) independent component analysis(ICA)

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Cooperative control of heterogeneous multi-agent systems via distributed adaptive output regulation under switching topology

Cooperative control of heterogeneous multi-agent systems via...

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Annual Conference of Industrial Electronics Society

作者： Ruohan Yang Hao Zhang Huaicheng Yan Fuwen Yang Department of Control Science and Engineering Tongji University Shanghai China Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai China School of Engineering Griffith University Australia

A novel distributed adaptive output feedback control strategy is developed to solve the cooperative output regulation problem of heterogeneous general linear multi-agent systems(MASs) under switching topology. The proposed control strategy avoids using the minimal non-zero eigenvalue of Laplacian matrix when calculating gain matrix, and the communication topology is assumed to contain a directed spanning tree only frequently. It is shown that individual agents could track external signal asymptotically and achieve disturbance rejection. Ultimately, a simulation is presented to exemplify the effectualness of the main result.

关键词： Topology Switches Laplace equations Output feedback Eigenvalues and eigenfunctions Adaptive control

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Consensus of discrete-time multi-agent systems via low-gain impulsive control

Consensus of discrete-time multi-agent systems via low-gain ...

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International Conference on control, Automation, Robotics and Vision

作者： Yang Tang Zhen Li Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai 200237 PR China School of Information Science and Technology Donghua University Shanghai 201620 PR China

ISBN: (纸本)9781509035502

In this brief, a novel impulsive control has been proposed for consensus problems of discrete-time multi-agent systems. Utilizing the Lyapunov technique, a parametric discrete-time Riccati equation has been obtained in order to design impulsive controller. The derived criteria show that such impulsive control relies on the proper value of designed parameters and the upper bound of impulsive intervals. Finally, the applicability of proposed strategy is given through a numerical example.

关键词： Impulsiveness discrete-time Multi-agent systems Riccati equations numerical example

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Multi-stage Process Analysis and Modelling based Online Monitoring for Chip Packaging Process

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IFAC-PapersOnLine 2015年第28期48卷 993-998页

作者： Qin, Yan Zhao, Chunhui Gao, Furong State Key Laboratory of Industrial Control Technology Department of Control Science and Engineering Zhejiang University Hangzhou310027 China Key Laboratory of Advanced Control and Optimization for Chemical Processes Shanghai20023 China Department of Chemical and Biomolecular Engineering The Hong Kong University of Science and Technology Cleary Water Bay Kowloon Hong Kong

As one of the crucial semiconductor manufacturing steps, chip packaging process plays an important role to provide a phys ical protection, electric interconnection environment for naked wafer. In the present work, the chip packaging process is analyzed in detail for process understanding and monitoring. First, detailed description of the chip packaging process is given to help better understand the process. Then, the underlying process characteristics are explored and multi-stage nature of chip packaging process is revealed by t racking changes of process variable correlat ions. The whole process is divided into several modeling phases using a step-wise sequential phase partition algorithm, agreeing well with the real process. Stage-based online monitoring and fault diagnosis is performed to analyze some common abnormal behaviors in this process. The stage-based analysis results not only provide reliable online monitoring and fault diagnosis performance but also provide enhanced process understanding. © 2015

关键词： Chip scale packages Batch data processing Failure analysis Fault detection Packaging Partial discharges Process monitoring Semiconductor device manufacture Batch process Chip packaging Diagnosis performance Electric interconnection Multi stage Process characteristics Process understanding Semiconductor manufacturing

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An agent-based service-oriented integration architecture for chemical process automation

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Chinese Journal of chemical Engineering 2015年第1期23卷 173-180页

作者：罗娜钟伟民万锋叶贞成钱锋 Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology) Ministry of Education

In reality, traditional process control system built upon centralized and hierarchical structures presents a weak response to change and is easy to shut down by single failure. Aiming at these problems, a new agent-based service-oriented integration architecture was proposed for chemical process automation system. Web services were dynamically orchestrated on the internet and agent behaviors were built in them. Data analysis, model, optimization, control, fault diagnosis and so on were capsuled into different web services. Agents were used for service compositions by negotiation. A prototype system of poly(ethylene terephthalate) process automation was used as the case study to demonstrate the validation of the integration.

关键词： Automation system Integration Web services Service-oriented architecture Agent

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Strategy of changing cracking furnace feedstock based on improved group search optimization

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Chinese Journal of chemical Engineering 2015年第1期23卷 181-191页

作者：年笑宇王振雷钱锋 Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology) Ministry of Education

The scheduling process of cracking furnace feedstock is important in an ethylene plant. In this paper it is described as a constraint optimization problem. The constraints consist of the cycle of operation, maximum tube metal temperature, process time of each feedstock, and flow rate. A modified group search optimizer is proposed to deal with the optimization problem. Double fitness values are defined for every group. First, the factor of penalty function should be changed adaptively by the ratio of feasible and general solutions. Second, the "excellent" infeasible solution should be retained to guide the search. Some benchmark functions are used to evaluate the new algorithm. Finally, the proposed algorithm is used to optimize the scheduling process of cracking furnace feedstock. And the optimizing result is obtained.

关键词： Cracking furnace Scheduling of feedstock Group search optimizer Adaptive penalty function Double fitness values

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SSVEP recognition using multivariate linear regression for brain computer interface

SSVEP recognition using multivariate linear regression for b...

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IEEE International Conference on Computer and Communications, ICCC 2015

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

ISBN: (纸本)9781467381253

Until now, the canonical correlation analysis (CCA)-based method has been most widely applied to steady-state visual evoked potential (SSVEP). Artificial sine-cosine signals are used as the original references in the CCA method, which could hardly reflect the real SSVEP features buried in electroencephalogram (EEG). In this study, we use principal component analysis (PCA) to extract EEG features multivariate linear regression (MLR) is implemented on EEG and the specific sample labels. Experimental results show that the proposed MLR method outperformed other two competing methods for SSVEP recognition, especially in short time window. © 2015 IEEE.

关键词： Brain computer interface

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