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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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Input-Output Finite-Time Stability and Stabilization of Stochastic Fuzzy Systems With Randomly Occurring Uncertainties and Gain Fluctuations

Input-Output Finite-Time Stability and Stabilization of Stoc...

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World Congress on Intelligent control and Automation

作者： Jun Song Yugang Niu Yuanyuan Zou Key Laboratory of Advanced Control and Optimization for Chemical Process (East China University of Science and Technology) Ministry of Education Shanghai 200237 China

ISBN: (纸本)9781467384155

This paper studies the input-output finite-time stabilization problem of a class of fuzzy stochastic systems with randomly occurring uncertainties and (x, u)-dependent noises. By considering the randomly occurring gain fluctuations in controller gains, a fuzzy controller is designed to render the closed-loop system input-output finite-time stochastic stability with respect to some specified parameters. Through intensive stochastic analysis, a sufficient condition is established for the controller design via a convex optimization approach. A numerical example is exploited to demonstrate the effectiveness of the proposed design method.

关键词： Fuzzy systems Asymptotic stability Stability analysis Numerical stability Uncertainty Stochastic processes Aerospace electronics

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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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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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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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High dimension feature extraction based visualized SOM fault diagnosis method and its application in p-xylene oxidation process

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Chinese Journal of chemical Engineering 2015年第9期23卷 1509-1517页

作者：田颖杜文莉钱锋 Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

Purified terephthalic acid(PTA) is an important chemical raw material. P-xylene(PX) is transformed to terephthalic acid(TA) through oxidation process and TA is refined to produce PTA. The PX oxidation reaction is a complex process involving three-phase reaction of gas, liquid and solid. To monitor the process and to improve the product quality, as well as to visualize the fault type clearly, a fault diagnosis method based on selforganizing map(SOM) and high dimensional feature extraction method, local tangent space alignment(LTSA),is proposed. In this method, LTSA can reduce the dimension and keep the topology information simultaneously,and SOM distinguishes various states on the output map. Monitoring results of PX oxidation reaction process indicate that the LTSA–SOM can well detect and visualize the fault type.

关键词： Self-organizing map Local tangent space alignment Fault diagnosis Visualization P-xylene oxidation

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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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International Conference on Environmental Engineering and Computer Application, ICEECA 2014

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

ISBN: (纸本)9781138028074

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. © 2015 Taylor & Francis Group, London.

关键词： Activated sludge process

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