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第三十三届中国控制会议

作者： Xu Liang Xiao Nan Xie Lihua EXQUISITUS Centre for E-CitySchool of Electrical and Electronic EngineeringNanyang Technological University Key Laboratory of Advanced Control and Optimization for Chemical Process (East China University of Science and Technology) Ministry of Education

ISBN: (纸本)9781479947249

This paper studies the dynamic output feedback consensus problem of multi-agent systems over analog fading *** the case of undirected communication topology,both sufficient and necessary conditions are presented for mean square consensus of discrete-time LTI multi-agent systems over analog fading *** is further shown that in the case of single output,the sufficient condition is also necessary,while for other cases,the gap between the sufficient condition and the necessary condition may be ***,sufficient and necessary conditions are also provided for the mean square consensus over a balanced directed communication topology by using Lyapunov *** the derived criteria demonstrate intricately how system dynamics,communication quality and network topological structure interplay with each other to allow the existence of a linear distributed consensus controller.

关键词： discrete-time multi-agent systems,dynamic output feedback,consensusability,fading channels

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Improved Kernel PLS-based Fault Detection Approach for Nonlinear Chemical Processes

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Chinese Journal of Chemical Engineering 2014年第6期22卷 657-663页

作者：王丽侍洪波 School of Electrical and Electronic Engineering Shanghai Institute of Technology Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology

In this paper, an improved nonlinear process fault detection method is proposed based on modified kernel partial least squares(KPLS). By integrating the statistical local approach(SLA) into the KPLS framework, two new statistics are established to monitor changes in the underlying model. The new modeling strategy can avoid the Gaussian distribution assumption of KPLS. Besides, advantage of the proposed method is that the kernel latent variables can be obtained directly through the eigen value decomposition instead of the iterative calculation, which can improve the computing speed. The new method is applied to fault detection in the simulation benchmark of the Tennessee Eastman process. The simulation results show superiority on detection sensitivity and accuracy in comparison to KPLS monitoring.

关键词： nonlinear process fault detection kernel partial least squares statistical local approach

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Online optimization for the multi-objective operation of electric multiple units based speed limits curve

Online optimization for the multi-objective operation of ele...

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World Congress on Intelligent control and Automation (WCICA)

作者： Hui Yang Hong-En Liu Ya-Ting Fu Key Laboratory of Advanced Control and Optimization of Jiangxi Province Nanchang Jiangxi China School of Electrical and Electronic Engineering East China Jiaotong University Nanchang Jiangxi China

The electric multiple units (EMU) provide a transport service in the dynamical running environment, which should meet the requirements of safety, punctuality, precise train stopping, energy conservation and comfort simultaneously. However, since pervious manual operation method of EMU is mainly based on a given V-S curve (velocity versus position curve) and drivers' experience, it cannot meet the multi-objective operation requirements in real time. In order to improve the operation strategy, this paper develops a multi-objective online optimization model for the EMU operation based on speed limit curve. Then, we optimize the operation strategy using a modified multi-objective particle swarm optimization algorithm on line, so as to obtain the Pareto optimal solution set. Further, based on the delay state of EMU running process, we pick out the optimal operation strategy from the Pareto set. Finally, the running process of the EMU operated on the optimal operation strategy can satisfy the multi-objective requirements. And the experimental results on the field data of CRH380AL (China railway high-speed EMU type-380AL) running process show the real time effectiveness of the proposed approach.

关键词： optimization Indexes Delays Safety Real-time systems Force Resistance

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A novel learning algorithm for pallet grouping technology

Communications in Computer and Information Science

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Communications in Computer and Information Science 2014年 462卷 36-45页

作者： Lin, Weitian Lian, Zhigang Jiao, Bin Gu, Xingsheng Xu, Wei Shanghai DianJi University Shanghai200240 China Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai200237 China Shanghai Electric Group Co. Ltd Central Academe Shanghai200070 China

ISBN: (纸本)9783662452608

The Pallet Grouping Problem (PGP) is defined as minimizing the number of pallets for placing all materials in a collection and distribution center. A key to solving the PGP is to tackle the Pallet Loading Problem (PLP). The Pallet Loading Problem aims to maximize the number of identical rectangular boxes placed within a rectangular pallet. All boxes have identical rectangular dimensions and, when placed, must be located completely within the pallet. In this paper, a novel pallet grouping technology is proposed and a new learning algorithm, namely Learning Only from Excellence, (LOE) is presented for solving the pallet loading problem. Simulation results show that compared with the conventional Genetic Algorithm (AG) for two pallet loading problems with different scales, the new learning algorithm is proved to be more efficiently. © Springer-Verlag Berlin Heidelberg 2014.

关键词： Genetic algorithms

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Modeling of ethylene cracking furnace yields based on transfer learning

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Huagong Xuebao/CIESC Journal 2014年第12期65卷 4921-4928页

作者： Zhou, Shuheng Du, Wenli Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China

Ethylene cracker generally utilizes petroleum products as raw materials, and turn the long-chain hydrocarbon molecules into a variety of short chain hydrocarbons like gaseous hydrocarbons and a small amount of liquid hydrocarbons at high temperature, thereby obtaining ethylene, propylene and other products. Establishing the yield model for main products is of great significance to advanced control, operation optimization of the pyrolysis furnace in theory and practice. Due to the semi-continuous and periodic characteristics of cracking furnace, establishing a yield model for each condition is time-consuming. Considering the temperature, residence time and pressure have common effect on product yields, so this article uses these similarities exist in the new and old processes, supplemented with transfer learning to accomplish quick modeling for different conditions. Compared to previous studies, this method can be able to fully exploit the information contained in the historical data from a small amount of new data. Meanwhile, building a model of ethylene in the process of cracking furnace, case studies demonstrate the efficacy of the developed methodology. ©, 2014, Chemical Industry Press. All right reserved.

关键词： Ethylene

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Modeling of batch process based on higher order partial least squares

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Huagong Xuebao/CIESC Journal 2014年第9期65卷 3527-3534页

作者： Wang, Jianping Hu, Yi Shi, Hongbo Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education East China University of Science and Technology Shanghai200237 China

The products of batch processes are closely related to the daily life of modern people, and it is crucial for batch process monitoring to establish a model based on the normal process data sets. In this paper, according to the characteristics of batch process, a new generalized multilinear regression model, termed the higher order partial least squares (HOPLS), is introduced with the aim to better model the three-way batch data. It differs substantially from the traditional modeling approach, and instead of unfolding the three-way array to a two-way array, it explains the data by a sum of orthogonal Tucker tensors. Higher order orthogonal iteration (HOSVD), tensor transformation and higher order orthogonal iteration (HOOI) are used to find the latent vectors, which contain the maximum information of independent variables and dependent variables simultaneously. And the loading vectors are calculated at the same time. For the new observation values, the dependent variables will be predicted through the output of the model. Finally, the feasibility and efficiency of the method are verified through the PenSim2.0 simulation platform. © All Rights Reserved

关键词： Tensors

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Distributed Self-triggered control for Consensus of Multi-agent Systems

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IEEE/CAA Journal of Automatica Sinica 2014年第1期1卷 40-45页

作者： Hao Zhang Gang Feng Huaicheng Yan Qijun Chen the Department of Control Science and Engineering Tongji University the Department of Mechanical and Biomedical Engineering City University of Hong Kong Department of Mechanical and Biomedical Engineering City University of Hong Kong the 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 Department of Control Science and Engineering Tongji University

This paper studies the consensus problem of general linear multi-agent systems via self-triggered control. Two distributed self-triggered control schemes based on state feedback and output feedback are developed respectively. It is shown that under the proposed control protocols, consensus can be reached if the communication graph of the multi-agent system is *** example is presented to illustrate the effectiveness of the proposed control methods.

关键词： Multi-agent system (MAS) consensus self-triggered control state feedback output feedback

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An LCOR model for suppressing cascading failure in weighted complex networks

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Chinese Physics B 2013年第5期22卷 626-631页

作者：陈世明庞少鹏邹小群 School of Electrical and Electronic Engineering East China Jiaotong University Key Laboratory of Advanced Control & Optimization of Jiangxi Province

Based on the relationship between capacity and load, cascading failure on weighted complex networks is investigated, and a load-capacity optimal relationship （LCOR） model is proposed in this paper. Compared with three other kinds of load- capacity linear or non-linear relationship models in model networks as well as a number of real-world weighted networks including the railway network, the airports network and the metro network, the LCOR model is shown to have the best robustness against cascading failure with less cost. Furthermore, theoretical analysis and computational method of its cost threshold are provided to validate the effectiveness of the LCOR model. The results show that the LCOR model is effective for designing real-world networks with high robustness and less cost against cascading failure.

关键词： cascading failure load-capacity optimal relationship model robustness cost

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Event-triggered H∞ filtering for networked control systems with time-varying delay

Event-triggered H∞ filtering for networked control systems ...

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Chinese control Conference (CCC)

作者： Sheng Yan Huaicheng Yan Hongbo Shi Haitao Zhao Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education Shanghai China

This paper deals with the H ∞ filter design problem for event-triggered networked control systems (NCSs), where the next task release time and finishing time are predicted based on the sampled states. The closed-loop filtering error system is modeled as a linear system with an interval time-varying delay and event-triggered communication strategy. Based on this model, some novel criteria for the asymptotic stability analysis and H ∞ filter design of the event-triggered NCSs with time-varying delay are established to guarantee a prescribed H ∞ disturbance rejection attenuation level. Finally, a numerical example is provided to illustrate the effectiveness of the proposed method.

关键词： Delays Networked control systems Asymptotic stability Delay systems Time-varying systems Vectors

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Synchronization of heterogeneous dynamical networks via distributed impulsive control

Synchronization of heterogeneous dynamical networks via dist...

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作者： He, Wangli Han, Qing-Long Qian, Feng Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai200237 China Centre for Intelligent and Networked Systems Central Queensland University RockhamptonQLD4702 Australia

ISBN: (纸本)9781479940325

This paper studies global synchronization between a heterogeneous dynamical network and a known target trajectory via distributed impulsive control. Synchronization with an error level, called quasi-synchronization, is analyzed by utilizing the time-varying Lyapunov function. Some sufficient quasi-synchronization conditions are presented and explicit expressions of error levels are derived. Furthermore, the effects of the pinning control matrix and the coupling strength are explored. Unlike the continuous pinning feedback control, it is shown that a large coupling strength will destroy synchronization in the present of impulsive controller, which is also verified by our simulations. © 2014 IEEE.

关键词： Synchronization

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