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control strategy with adaptive quantizer’s parameters under digital communication channels

Automatica 2014年第10期50卷 2665-2671页

作者： Yugang Niu Daniel W.C. Ho Key Lab of Advanced Control and Optimization for Chemical Processed of Ministry of Education East China University of Science & Technology Shanghai 200237 China Department of Mathematics City University of Hong Kong 83 Tat Chee Avenue Kowloon Hong Kong School of Automation Nanjing University of Science & Technology Nanjing 210096 China

A stabilizing controller designed without considering quantization may not be effectively implemented for the systems with quantized information due to quantization errors . Hence, an interesting issue is how to design the quantizer such that the desired system performance can be still attained by the above controller. In this work, a new control strategy with on-line updating the quantizer’s parameter is proposed. This scheme may ensure the controlled system to attain the same dynamic performance, H ∞ disturbance attenuation level, as the one without signal quantization. A practical adjusting rule on quantizer’s parameter is proposed such that the state-dependent parameter is available on both sides of encoder/decoder. Finally, some numerical examples have been provided to illustrate the present control scheme.

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Just-in-time Learning based Soft Sensor for Multi-phase process using Gaussian process Regression

Just-in-time Learning based Soft Sensor for Multi-phase Proc...

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第25届中国过程控制会议

作者： Weili Xiong Wei Zhang Biao Huang Baoguo Xu Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Jiangnan University School of Internet of Things Engineering Jiangnan University Dep artment of Chemical and Materials Engineering University of AlbertaEdmonton Alberta T6G2G6 Canada

Reiable quality prediction of bioche mica l processes often encounters various challenges including process nonlinearity,mu lt iple operating phases and different local dyna *** single-model based strategy may be inappropriate,or lead to a soft sensor with poor perfo *** address these problems,a just-in-time lea rning(JIT L)based soft sensor is *** Gaussian mixture model(GMM)is firstly introduced to distinguish the data from different operat ing *** data belonging to each operating phase,a just-in-t ime lea rning strategy is applied and the relationship between input and output data is modeled using Gaussian process regression(GPR).Whenever a new samp le is availab le,the posterior probability of the sa mple be longing to a specific operating ph ase can be *** operating phase with the ma ximu m posterior probability is regarded as the phase that the new sample falls into.A local GRP mode l can then be constructed using a part of the most relevant samples in the operating phase and the desired output can be *** mpared with traditional soft sensors using single model,the JIT L-based approach exhib its a more fle xible structure and the process dynamics can be captured better.A continuous fermentation process as well as a Tennessee Eas tman(TE)Che mica l process is employed to demonstrate the feasibility and effectiveness of the proposed soft sensor.

关键词： Gaussian mixture model Just-in-time-learning Posterior probability Gaussian process regression

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Design and control of a p-Xylene Oxidation process

Design and Control of a p-Xylene Oxidation Process

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第25届中国过程控制会议

作者： Lili Tao Feng Qian School of Electronic & Electrical Engineering Shanghai Second Poly technic University Key Laboratory of Advanced Control and Op timization for Chemical Processes Ministry of Education East China Univer sity of Science and Technology

The p-xylene(PX)oxidation process is of great industrial importance because of the strong global polyester fiber ***-state model of the PX oxidation have been studied by many *** our p revious work,a novel model of the industrial PX oxidation reactor has been develop ***,the disturbances such as p roduction rate change,feed comp osition variability and reactor temp erature changes widely exist in the industry p *** this p ap er,dy namic simulation of the PX oxidation reactor was designed by Asp en Dy namics and used to develop effective p lantwide control structure,which is cap able of effectively handling the disturbances in the load and the temp erature of the *** resp onses of the control structure to the disturbances were shown and serve as the foundation of the smooth op eration and advanced control strategy of this p rocess in our future work.

关键词： p-Xylene oxidation,Dynamic simulation,Aspen Dynamics,process design and control

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Fixed-Time Consensus for Multi-Agent Systems Under Directed and Switching Interaction Topology

Fixed-Time Consensus for Multi-Agent Systems Under Directed ...

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American control Conference

作者： Zongyu Zuo Wen Yang Lin Tie Deyuan Meng The Seventh Research Division Beihang University (BUAA) Beijing 100191 China Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology) Ministry of Education Shanghai 200237 China School of Automation Science and Electrical Engineering Beihang University (BUAA) Beijing 100191 China

ISBN: (纸本)9781479932757

In this paper, we address the fixed-time consensus problem for multi-agent systems in networks with directed and switching interaction topology. With the introduction of mirror operation, two global distributed nonlinear consensus protocols are constructed for each first-order agent under strongly connected information flow. The distinctive feature of this paper is to address the explicit bounds of the finite settling time for both protocols are independent of initial condition, which makes it possible for network consensus problems of a multi-agent team with guaranteed convergence time. Further, the second protocol is valid for the networks of multi-agents with switching topology provided that the sum of time intervals, in which the information flow is strongly connected, is larger than the estimated upper-bound for settling time. Finally, simulations are provided to demonstrate the performance and effectiveness of our theoretical results.

关键词： Protocols Switches Topology Multi-agent systems Network topology Convergence Eigenvalues and eigenfunctions

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Research on electromagnetic coupling artificial neural network with spatial topology

Research on electromagnetic coupling artificial neural netwo...

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6th International Conference on Brain Inspired Cognitive Systems, BICS 2013

作者： Wang, Ziyin Liu, Mandan Ren, Xiang Cheng, Yicheng Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Ministry of Education Shanghai 200237 China

ISBN: (纸本)9783642387852

In this paper, an emerging artificial neural network (ECANN) is proposed. Abstracting from a latest research in neuroscience, electromagnetic coupling among neuron activities is introduced into the model. Besides, the overall network can be viewed as a system with physical significance of circuitry, and each neuron is presented as differential equation. At the mean time, the spatial grid topology is employed in order to develop its parallelism. This artificial neural network is designed for fitting and predicting dynamic data, and has successfully worked in simulation part of this paper. © 2013 Springer-Verlag.

关键词： Neural networks

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Statistical Monitoring of chemical processes Based on Sensitive Kernel Principal Components

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Chinese Journal of chemical Engineering 2013年第6期21卷 633-643页

作者： JIANG Qingchao YAN Xuefeng Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education EastChina University of Science and Technology Shanghai 200237 China

The kernel principal component analysis （KPCA） method employs the first several kernel principal components （KPCs）, which indicate the most variance information of normal observations for process monitoring, but may not reflect the fault information. In this study, sensitive kernel principal component analysis （SKPCA） is proposed to improve process monitoring performance, i.e., to deal with the discordance of T2 statistic and squared prediction error SVE statistic and reduce missed detection rates. T2 statistic can be used to measure the variation di rectly along each KPC and analyze the detection performance as well as capture the most useful information in a process. With the calculation of the change rate of T2 statistic along each KPC, SKPCA selects the sensitive kernel principal components for process monitoring. A simulated simple system and Tennessee Eastman process are employed to demonstrate the efficiency of SKPCA on online monitoring. The results indicate that the monitoring performance is improved significantly.

关键词： statistical process monitoring kernel principal component analysis sensitive kernel principal compo-nent Tennessee Eastman process

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Observer-based synchronization of networked distributed parameter systems

Observer-based synchronization of networked distributed para...

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World Congress on Intelligent control and Automation (WCICA)

作者： Xuyang Lou Qian Ye Baotong Cui School of IoT Engineering Jiangnan University Wuxi China College of Internet of Things Technology Wuxi Institute of Technology Wuxi China Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Jiangnan University Wuxi China

Synchronization in networks of dynamical systems is of importance in biological, chemical, physical and social systems. This paper investigates an observer-based synchronization scheme for a class of networked distributed parameter systems under an abstract framework. As in reality the system states may not be available and different subsystems (agents) share information through a communication network, we estimate the states based on a distributed observer in the case of partial network connectivity. Then a synchronizing controller combining a state feedback is constructed and the well-posedness of the closed-loop system is examined. Numerical simulations are provided to illustrate the effectiveness of the proposed results.

关键词： Synchronization Distributed parameter systems educational institutions Observers Closed loop systems Partial differential equations Neural networks

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Fault Diagnosis in chemical process Based on Self-organizing Map Integrated with Fisher Discriminant Analysis

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Chinese Journal of chemical Engineering 2013年第4期21卷 382-387页

作者：陈心怡颜学峰 Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education EastChina University of Science and Technology Shanghai 200237 China

Fault diagnosis and monitoring are very important for complex chemical process. There are numerous methods that have been studied in this field, in which the effective visualization method is still challenging. In order to get a better visualization effect, a novel fault diagnosis method which combines self-organizing map (SOM) with Fisher discriminant analysis (FDA) is proposed. FDA can reduce the dimension of the data in terms of maximizing the separability of the classes. After feature extraction by FDA, SOM can distinguish the different states on the output map clearly and it can also be employed to monitor abnormal states. Tennessee Eastman (TE) process is employed to illustrate the fault diagnosis and monitoring performance of the proposed method. The result shows that the SOM integrated with FDA method is efficient and capable for real-time monitoring and fault diagnosis in complex chemical process.

关键词： self-organizing maps Fisher discriminant analysis fault diagnosis monitoring Tennessee Eastman process

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Stochastic bounded consensus tracking of leader-follower multi-agent systems with measurement noises based on sampled data with general sampling delay

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Chinese Physics B 2013年第12期22卷 555-562页

作者：吴治海彭力谢林柏闻继伟 Key Laboratory for Advanced Process Control of Light Industry of the Ministry of Education School of Internet of Things Engineering Jiangnan University State Key Laboratory for Digital Manufacturing Equipment and Technology School of Mechanical Science and Engineering Huazhong University of Science and Technology (HUST)

In this paper we provide a unified framework for consensus tracking of leader-follower multi-agent systems with measurement noises based on sampled data with a general sampling delay. First, a stochastic bounded consensus tracking protocol based on sampled data with a general sampling delay is presented by employing the delay decomposition technique. Then, necessary and sufficient conditions are derived for guaranteeing leader-follower multi-agent systems with measurement noises and a time-varying reference state to achieve mean square bounded consensus tracking. The obtained results cover no sampling delay, a small sampling delay and a large sampling delay as three special cases. Last, simulations are provided to demonstrate the effectiveness of the theoretical results.

关键词： leader-follower multi-agent systems stochastic bounded consensus tracking measurement noises general sampling delay

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Synchronization in complex networks and its application - A survey of recent advances and challenges

Synchronization in complex networks and its application - A ...

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作者： Tang, Yang Qian, Feng Gao, Huijun Kurths, Jürgen Potsdam Institute for Climate Impact Research Potsdam14473 Germany Institute of Physics Humboldt University of Berlin Berlin12489 Germany Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China Research Institute of Intelligent Control and Systems Harbin Institute of Technology Harbin150080 China Institute for Complex Systems and Mathematical Biology University of Aberdeen AberdeenAB24 3UE United Kingdom Department of Control Theory Nizhny Novgorod State University Gagarin Avenue 23 Nizhny Novgorod606950 Russia King Abdulaziz University Jeddah21589 Saudi Arabia

Complex networks have, in recent years, brought many innovative impacts to large-scale systems. However, great challenges also come forth due to distinct complex situations and imperative requirements in human life nowadays. This paper attempts to present an overview of recent progress of synchronization of complex dynamical networks and its applications. We focus on robustness of synchronization, controllability and observability of complex networks and synchronization of multiplex networks. Then, we review several applications of synchronization in complex networks, especially in neuroscience and power grids. The present limitations are summarized and future trends are explored and tentatively highlighted. © 2014 Elsevier Ltd. All rights reserved.

关键词： Synchronization

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