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IEEE Annual Conference on Decision and control

作者： Zhifei Zhang Alain Sarlette Zhihao Ling SYSTeMS research group Faculty of Engineering and Architecture Ghent University Technologiepark Zwijnaarde 914 9052 Zwijnaarde(Ghent) Belgium Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology No.130 Meilong Road Shanghai 200237 China

ISBN: (纸本)9781467360890

This paper proposes a method to counter the drift associated to unknown non-identical natural frequencies in the Kuramoto model of coupled oscillators. Inspired by the quantum dynamical decoupling technique, it builds on a time-varying variant of the dynamics to effectively bring the oscillator phases closer to the same value. This allows effective synchronization despite arbitrarily large differences in natural frequencies. For two agents admitting instantaneous position exchanges, we exactly compute how the relative phase converges to a stable periodic fixed point. The latter tends to zero when the dynamics switches at a faster rate. With continuous state evolutions, using a related dynamic controller instead of instantaneous jumps, we show with a Lyapunov function that exact phase synchronization is obtained. We generalize the method to multiple oscillators with instantaneous state exchanges, that can be implemented by cycling through a predefined or random sequence of exchanges. Simulation results illustrate the effectiveness of the algorithms.

关键词： Natural frequencies Oscillators DECOUPLING phase synchronization coupled oscillators dynamics quanta

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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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Design of 2-D MIMO Antenna Arrays for High Resolution Burden Surface Imaging

Design of 2-D MIMO Antenna Arrays for High Resolution Burden...

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2013 IEEE 11th International Conference on Electronic Measurement & Instruments

作者： Chen Xianzhong Zhou Ping Hou Qingwen Wang Zhengpeng School of Automation & Electrical Engineering University of Science and Technology Beijing Key Laboratory of Advanced Control for Iron and Steel Process (Ministry of Education China)

ISBN: (纸本)9781479907571

In this paper, 2-D MIMO antenna arrays suitable for high resolution burden surface imaging radar operating in frequency band 24-26GHz are proposed. In order to eliminate the cross-range resolution degradation when the antenna beam radiates to the burden surface in nonperpendicular angle, MIMO antenna arrays with elliptical cross-section beam are specially designed. To suppress the high side lobe level of these designed MIMO arrays, two MIMO array sparse methods by symmetrically sparse the arrays with denser elements in the centre and sparse elements around are presented and analyzed. Patterns of the designed MIMO arrays are simulated, which verified the effectiveness of the MIMO arrays for burden surface imaging.

关键词： MIMO antenna array design, burden surface imaging, high resolution, nonperpendicular radiation, side lobe suppression.

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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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Assessment of Texaco syngas components using extreme learning machine based quantum neural network

Communications in Computer and Information Science

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Communications in Computer and Information Science 2013年 355卷 221-229页

作者： Xu, Wei Wang, Raofen Gu, Xingsheng Sun, Youxian State Key Laboratory of Industrial Control Technology Zhejiang University 310027 Hangzhou China Department of Automation Shanghai University of Engineering Science 201620 Shanghai China Key Laboratory of Advanced Control Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology 200237 Shanghai China

Quantum neural computing has nowadays attracted much attention, and tends to be a candidate to improve the computational efficiency of neural networks. In this paper, a new quantum neural network (QNN) is proposed based on quantum mechanics of superposition and collapse, etc. Instead of gradient descent methods and evolutionary algorithms, extreme learning machine (ELM) is introduced to analytically identify the parameters of the QNN. The ELM-QNN model is applied to the online and real-time assessment of the syngas components in a Texaco gasification process. The application would effectively avoid the problems of time delay and low accuracy which result from the manual analysis. In order to eliminate the redundant information stored in variables, principal component analysis (PCA) is adopted to reduce the number of input variables of ELM-QNN. The results indicate that ELMQNN combined with PCA method has satisfied computational accuracy and efficiency. The PCA-ELM-QNN is very capable of being used for the real-time measurement of Texaco syngas components. © Springer-Verlag Berlin Heidelberg 2013.

关键词： Principal component analysis

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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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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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Distributed predictive control for energy management of multi-microgrids systems

Distributed predictive control for energy management of mult...

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13th IFAC Symposium on Large Scale Complex Systems: Theory and Applications, LSS 2013

作者： Xu, Jun Zou, Yuanyuan Niu, Yugang Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China Univ. of Science and Technology Shanghai 200237 China Key Laboratory of System Control and Information Processing Ministry of Education Shanghai 200240 China

In this paper, a distributed model predictive control (DMPC) scheme is presented to optimize the power flow management of microgrids in smart grid environment. For a multi-microgrids system in which local microgrid links with each other through particular channels for power and information, the proposed method can maximize the overall energy efficiency. The DMPC optimization problem is formulated by minimizing the surplus/insufficient energy in each microgrid and a constraint restriction is imposed to guarantee the closed-loop stability. A simulation example is carried out to demonstrate the feasibility and effectiveness of this energy management strategy. © IFAC.

关键词： Electric power distribution

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Disturbance Rejection in Hydraulic Automation Position control System for Rolling Mills

Disturbance Rejection in Hydraulic Automation Position Contr...

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第三十二届中国控制会议

作者： WANG Lijun LI Qing TONG Chaonan YIN Yixin GAO Zhiqiang ZHENG Qinling School of Automation & Electrical Engineering University of Science and Technology Beijing Key Laboratory of Advanced Control of Iron and Steel Process(Ministry of Education) Center for Advanced Control Technologies Cleveland State University

ISBN: (纸本)9781479900305

The hydraulic automation position control(HAPC) system for rolling mills is always difficult to design with high accuracy due to the uncertainties and other external *** a linear,low-order and optimization parameters, the high-order uncertain dynamics and unknown disturbances in plant dynamics is estimated by extended state observer(ESO). The resulting active disturbance rejection control(ADRC) is simple to use,easy to *** results show that the proposed ADRC has better robustness and adaptability than PID.

关键词： Disturbance rejection Uncertainty Extended state observer Hydraulic automation position control

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