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An Adaptive Event-Triggered Synchronization Approach for Chaotic Lur’e Systems Subject to Aperiodic Sampled Data

IEEE Transactions on Circuits and Systems II: Express Briefs 2019年第3期66卷 442-446页

作者： Yueying Wang Hamid Reza Karimi Huaicheng Yan School of Aeronautics and Astronautics Shanghai Jiao Tong University Shanghai China Department of Mechanical Engineering Politecnico di Milano Milan Italy Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education East China University of Science and Technology Shanghai China

This brief deals with the problem of master-slave synchronization for chaotic Lur'e systems with aperiodic sampled data. Specifically, a novel aperiodic adaptive event-triggered communication mechanism is introduced to reduce the transmission load, which covers the previous ones as special cases. By partially resorting to the time-dependent Lyapunov function, a new synchronization criterion is derived, which depends on both the upper and lower bounds of variable sampling interval. Finally, Chua's circuit system is chosen as an illustrative example to show the virtue and effectiveness of the achieved synchronization strategies.

关键词： Synchronization Chaotic communication Master-slave Circuits and systems Extraterrestrial measurements Symmetric matrices Adaptive systems

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Multi-objective modeling and optimization for scheduling of cracking furnace systems

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Chinese Journal of chemical Engineering 2017年第8期25卷 992-999页

作者： Peng Jiang Wenli Du Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education School of Information Science and Engineering East China University of Science and Technology

Cracking furnace is the core device for ethylene production. In practice, multiple ethylene furnaces are usually run in parallel. The scheduling of the entire cracking furnace system has great significance when multiple feeds are simultaneously processed in multiple cracking furnaces with the changing of operating cost and yield of product. In this paper, given the requirements of both profit and energy saving in actual production process, a multi-objective optimization model contains two objectives, maximizing the average benefits and minimizing the average coking amount was proposed. The model can be abstracted as a multi-objective mixed integer non- linear programming problem. Considering the mixed integer decision variables of this multi-objective problem, an improved hybrid encoding non-dominated sorting genetic algorithm with mixed discrete variables （MDNSGA-II） is used to solve the Pareto optimal front of this model, the algorithm adopted crossover and muta- tion strategy with multi-operators, which overcomes the deficiency that normal genetic algorithm cannot handle the optimization problem with mixed variables. Finally, using an ethylene plant with multiple cracking furnaces as an example to illustrate the effectiveness of the scheduling results by comparing the optimization results of multi-objective and single objective model.

关键词： Cracking furnace systems Feed scheduling Multi-objective mixed integer nonlinear optimization Genetic algorithm

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Finite-time containment control of nonlinear multi-agent systems with non-singular terminal sliding mode

Finite-time containment control of nonlinear multi-agent sys...

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2018 Australian and New Zealand control Conference, ANZCC 2018

作者： Lu, Hui He, Wangli Han, Qing-Long Ge, Xiaohua Peng, Chen School of Mechatronic Engineering and Automation Shanghai University Shanghai200444 China Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China School of Software and Electrical Engineering Swinburne University of Technology MelbourneVIC3122 Australia

ISBN: (纸本)9781538666173

This paper is concerned with finite-time containment control problem for second-order nonlinear multi-agent systems with multiple dynamic leaders. Two new containment control protocols are developed to ensure that all followers converge to the dynamic convex hull spanned by the dynamic leaders in a finite time based on the terminal sliding mode and non-singular terminal sliding model, respectively. Moreover, the non-singular terminal sliding mode method is used to eliminate the singular problem associated with the terminal sliding mode control. Criteria on the existence of desired containment control protocols are also derived. Furthermore, the settling time is estimated under the proposed protocols. Simulation results illustrate the effectiveness of the developed theory in the last. © 2018 IEEE.

关键词： Multi agent systems

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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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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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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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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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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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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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A Competitive Swarm Optimizer Integrated with Cauchy and Gaussian Mutation for Large Scale optimization 36

A Competitive Swarm Optimizer Integrated with Cauchy and Gau...

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第36届中国控制会议

作者： Qiang Zhang Hui Cheng Zhencheng Ye Zhenlei Wang Key Laboratory of Advance Control and optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology

ISBN: (纸本)9781538629185

Competitive swarm optimizer（CSO） has shown promising results for solving large scale global optimization problems proposed ***,CSO shows insufficient exploitation of the *** this paper,a competitive swarm optimizer integrated with Cauchy and Gaussian mutation（CGCSO） is proposed for large scale *** new algorithm does not only update the losers’ positions with the CSO method,but also update the winners’ positions by Cauchy and Gaussian mutation to improve the exploitation capability of the ***,CGCSO utilizes the ring topology to enhance the swarm diversity and alleviate premature convergence.A comparative study between CGCSO and CSO evaluated on the CEC’08 benchmark functions has been carried *** experimental results indicate that CGCSO performs better on the whole,especially on the non-separable functions and 500-dimensional problems.

关键词： Competitive Swarm Optimizer Cauchy Mutation Neighborhood Topology Particle Swarm optimization Large Scale optimization

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