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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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Multimode Process Monitoring Based on the Density-Based Support Vector Data Description

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Journal of Donghua University(English Edition) 2017年第3期34卷 342-348页

作者：郭红杰王帆宋冰侍洪波谭帅 Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University ofScience and Technology Shanghai 200237 China

Complex industry processes often need multiple operation modes to meet the change of production conditions. In the same mode,there are discrete samples belonging to this mode. Therefore,it is important to consider the samples which are sparse in the *** solve this issue,a new approach called density-based support vector data description( DBSVDD) is proposed. In this article,an algorithm using Gaussian mixture model( GMM) with the DBSVDD technique is proposed for process monitoring. The GMM method is used to obtain the center of each mode and determine the number of the modes. Considering the complexity of the data distribution and discrete samples in monitoring process,the DBSVDD is utilized for process monitoring. Finally,the validity and effectiveness of the DBSVDD method are illustrated through the Tennessee Eastman( TE) process.

关键词： Eastman Tennessee sparse utilized illustrated kernel Bayesian charts validity false

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Process Monitoring Based on Independent Component Contribution

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Journal of Donghua University(English Edition) 2017年第3期34卷 349-354页

作者：吕小条宋冰侍洪波谭帅 Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University ofScience and Technology Shanghai 200237 China

Independent component analysis( ICA) has been widely applied to the monitoring of non-Gaussian processes. Despite lots of applications,there is no universally accepted criterion to select the dominant independent components( ICs). Moreover, how to determine the number of dominant ICs is still an open question. To further address this issue,a novel process monitoring based on IC contribution( ICC) is proposed from the perspective of information storage. Based on the ICC with each variable,the dominant ICs can be obtained and the number of dominant ICs is determined objectively. To further preserve the process information, the remaining ICs are not useless. As a result,all the ICs are regarded to be divided into dominant and residual subspaces. The monitoring models are established respectively in each subspace, and then Bayesian inference is applied to integrating monitoring results of the two subspaces. Finally, the feasibility and effectiveness of the proposed method are illustrated through a numerical example and the Tennessee Eastman process.

关键词： Independent Eastman Tennessee Bayesian preserve illustrated criterion universally remaining integrating

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Model Reduction for Switched Genetic Regulatory Networks with Time-Varying Delays 36

Model Reduction for Switched Genetic Regulatory Networks wit...

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第36届中国控制会议

作者： Mengqi Xue Yang Tang Ligang Wu Feng Qian Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Research Institute of Intelligent Control and Systems Harbin Institute of Technology

ISBN: (纸本)9781538629185

The model reduction problem is studied in this work for the switched genetic regulatory networks（GRNs） with timevarying delays. The attention is focused on constructing a reduced-order model to approximate the considered high-order GRNs under that the switching signal is subject to some certain constraints, such that the error system between the original system and the reduced-order one is exponentially stable with a weighted H∞ performance. By utilizing the bounding technique as well as the dwell time method, the stability conditions and the weighted H performance are established for the error system. Then, the solvability conditions for the reduced-order models for the GRNs are also established by using the projection method. Finally,numerical simulation is presented to illustrate the effectiveness of the proposed method.

关键词： Switched System Genetic Regulatory Networks Model Reduction Time-Varying Delays

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Robust semi-global leader-following practical consensus of a group of linear systems with imperfect actuators

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Science China(Information Sciences) 2017年第7期60卷 195-206页

作者： Liangren SHI Zhiyun ZHAO Zongli LIN Department of Automation Shanghai Jiao Tong University Key Laboratory of Advanced Control and Optimization for Chemical Processes(East China University of Science and Technology) Ministry of Education Charles L. Brown Department of Electrical and Computer Engineering University of Virginia

This paper considers the problem of semi-global leader-following consensus of a multi-agent system whose agent dynamics are represented by linear systems. The input output characteristics of the follower agent actuators, such as those of saturation and dead-zone, are imperfect, not precisely known, and subject to the effect of disturbances. Two consensus control algorithms, of the low-and-high gain feedback type and the low gain based variable structure control type, are proposed for solving the consensus problem. It is shown that both of these control algorithms achieve semi-global leader-following practical consensus in the presence of the imperfectness of the actuators when the communication topology among the follower agents is represented by a strongly connected and detailed balanced directed graph and the leader agent is a neighbor of at least one follower agent. The theoretical results are illustrated by numerical simulation.

关键词： consensus leader-following actuator saturation dead-zone low-and-high gain feedback low gain based variable structure control

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Initial-Parameter-Criterion based Gaussian Mixture Model Monitoring Method for Non-Gaussian Process

Initial-Parameter-Criterion based Gaussian Mixture Model Mon...

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Chinese control Conference

作者： Ying Tian Wenli Du Shanghai Key Lab of Modern Optical System University of Shanghai for Science and Technology Shanghai Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai

Gaussian mixture model (GMM) monitoring method is commonly used for non-Gaussian process monitoring. In GMM monitoring method, the final number of Gaussian components and the statistical distribution parameters are estimated through the improved Figueiredo-Jain (F-J) algorithm in the modeling phase. However, the data dimensionality of modern industry is high, the number of initial Gaussian components is large for the accuracy of the algorithm. Under this condition, the relative small number of samplings makes the denominator in the weight estimation formula of the improved F-J algorithm become zero and the algorithm suspends. To make the algorithm work well in an acceptable modeling time, we deduce the Initial-Parameter-Criterion among initial Gaussian components, data dimension, sampling number and propose the Initial-Parameter-Criterion based GMM (IPC-GMM) monitoring method. The proposed monitoring method is used for TE process monitoring, simulation results reveal the effectiveness and necessity of IPC-GMM monitoring method.

关键词： Monitoring Gaussian mixture model Density functional theory Industries Data models Process control

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On-line Signature Verification Based on Gaussian Mixture Models 29

On-line Signature Verification Based on Gaussian Mixture Mod...

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第29届中国控制与决策会议

作者： Lou Yang Mandan Liu Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology East China University of Science and Technology

ISBN: (纸本)9781509046584

In this paper for on-line signature verification,wavelet packet analysis will be used to extract dynamic local features,combining global features to keep distortionless in signature *** importantly,in order to overcome shortcomings that the traditional expectation maximization algorithm seriously depends on parameters initialization and easily falls into local optimum when used to train Gaussian Mixture Models,we first employ an improved Splitting-EM algorithm based on Bayesian Ying-Yang learning system to train Gaussian Mixture ***-EM algorithm can search for optimal number of Gaussian components so that a unique,user-dependent signature model can be established to ensure a better *** show that the verification accuracy based on wavelet packet analysis to extract features and Splitting-EM algorithm training Gaussian Mixture Models reaches 95.8%,which is a satisfactory verification result.

关键词： On-line Signature Verification Gaussian Mixture Models Splitting-EM Algorithm Bayesian Ying-Yang Learning System

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control Performance Assessment of Multivariable System Based on Multi-time-variant-disturbances Mixing GMV Method 29

Control Performance Assessment of Multivariable System Based...

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第29届中国控制与决策会议

作者： Yupeng Du Zhenlei Wang Xin Wang Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Center of Electrical & Electronic Technology Shanghai Jiao Tong University

ISBN: (纸本)9781509046584

The disturbance in chemical process is complex and has the multiple characteristics,and the control performance assessment of multivariable system with multiple disturbances is one of the hot *** this paper,the control performance assessment method of multivariable systems,based on multi-time-variant-disturbances mixing generalized minimum variance(MMGMV),is ***,the generalized minimum variance control is introduced into the multivariable system performance assessment,and the weight matrix is designed according to the time-varying control ***,the multivariable MMGMV controller is designed combining with the idea of multi-model weights mixing for all multi-time-varying ***,the output variance of each controlled variable is obtained using MMGMV *** average variance of controlled variable in the MMGMV controller acts as the criterion of performance assessment,and combining with the output variance of actual controller for the controller performance *** with the minimum variance benchmark,the developed method is more reasonable and practical for the control performance assessment of multivariable *** developed approach is demonstrated by a numerical simulation and a heavy oil fractionation of process control system.

关键词： Multivariable Multi-time-variant-disturbance-mixing Generalized minimum variance Time-varying weight matrix Mixing weight

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A class of nonlinear discrete-time system adaptive control based on second level multiple models 36

A class of nonlinear discrete-time system adaptive control b...

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第36届中国控制会议

作者： Yong Chen Xin Wang Zhenlei Wang Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Center of Electrical and Electronic Technology Shanghai Jiao Tong University

ISBN: (纸本)9781538629185

Using multiple models to deal with transients for adaptive systems which is large parametric uncertainties was introduced in the 1990 *** common method is using switching ***,these methods has some potential *** this paper,a new multiple models scheme is proposed for a class strict-feedback nonlinear discrete-time ***,we use feedback linearization and backstepping method to develop adaptive indirect schemes with an observer-based identifier to ***,we design a controller based on the convex hull of parameter *** the number of necessary models is less than switching scheme,and can use the information of all identification ***,simulation have demonstrated that this method is effectively to a class of strict-feedback nonlinear discrete-time system.

关键词： convex hull multiple models backstepping nonlinear system strict-feedback

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Second Level Adaptive control Based on Combination Multiple Model 29

Second Level Adaptive Control Based on Combination Multiple ...

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第29届中国控制与决策会议

ISBN: (纸本)9781509046584

Since all of adaptive models converge to the same point in parameter space,classical second level multiple model adaptive control method cannot deal with linear time-varying *** order to deal with this drawback,this paper proposes a modified second level adaptive control method based on combining the advantages of adaptive model and fixed model for a class linear discrete time-varying plant where only a little prior information which is ***,multiple adaptive models are selected in the space of parameters,and the parameters are identifying and the controller is designed based on second level adaptive ***,when one of sub-model of the adaptive models are closed to the real parameters of the system,all of these adaptive models are fixed,and then the controller is designed based on multiple fixed ***,simulations have demonstrated that this method is effectively to a class of linear time-varying system.

关键词： adaptive model fixed model second level adaptive control multi-model

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