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IEEE Symposium Series on Computational Intelligence (SSCI)

作者： Hangui Zhu Zhen Li Wenle Zhang Qianru Zhang School of Automation Xi’an University of Posts and Telecommunications Xi’an China Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai China The University of Hong Kong Hong Kong China

ISBN: (数字)9781728124858

ISBN: (纸本)9781728124865

In this paper, a distributed event-triggered algorithm has considered for formation problem in second-order multi-agent system with fixed independent position and velocity interaction topologies. For each agent, the involved controller is designed to be updated by time instant that is determined by the local and current sampling data. Based on the Lyapunov control approach, a sufficient criterion has been derived that the desired formation shape can be ensured. Moreover, it is shown that the Zeno phenomenon can be excluded, and an extra control input has been utilized to implement obstacle avoidance. Finally, a numerical simulation is given to illustrate the effectiveness of the theoretical results.

关键词： Topology Multi-agent systems Collision avoidance Multi-robot systems Position control Lyapunov methods Mobile robots

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Fault Diagnosis Strategy for Few Shot Industrial Process Based on Data Augmentation and Depth Information Extraction

SSRN

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SSRN 2022年

作者： Tian, Ying Xiang, Xin Peng, Xin Zhong, Yin Zhang, Wei Department of control science and Engineering School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Shanghai200093 China Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China

Data based intelligent fault diagnosis method is an important tool for ensuring the stability of industrial process. However, in the actual industrial process, due to the difficulty of feature extraction and the lack of labeled fault data, it is hard to form a fault diagnosis model with good performance. To address this problem, the Self-Attention embedded Generative Adversarial Networks combined with the Residual Network(SAGAN-ResNet) is proposed in this study. Firstly, to handle the lack of the fault data, the data enhancement method which consists of Self-Attention embedded generator and discriminator is adopted. Then, to extract the feature for better diagnosis performance, based on the augmented training dataset, Residual Network (ResNet) is introduced. Finally, the proposed method is compared with others, the results show that proposed method has advantages in the case of complex process fault diagnosis with few shot industrial data. © 2022, The Authors. All rights reserved.

关键词： Failure analysis

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Dynamic RED: a modified random early detection

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Journal of Computational Information Systems 2011年第14期7卷 5243-5250页

作者： Cheng, Minjuan Wang, Hao Yan, Liming School of Electronic and Communication Engineering Shenzhen Polytechnic Shenzhen 518055 China Department of Automation Shanghai Jiao Tong University Ministry of Education of China Shanghai 200240 China Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education of China Shanghai 200237 China

Random early detection (RED) is an effective active queue management (AQM) algorithm controlling network congestion by average queue length. However, RED is over-sensitive to congestion degrees and its parameters. To overcome RED's shortcomings, this paper proposes a dynamic RED algorithm named DRED for enhanced performance. Two improvements are made: (1) DRED replaces the linear packet dropping function with a nonlinear function, which gives differential reactions to different network conditions. (2) Adaptation rule is introduced for the maximum packet dropping probability to stabilize the average queue length. By simulation comparisons, the results verify that DRED outperforms the original RED algorithm in terms of stability and robustness. DRED achieves stable average queue length and predictable queuing delay independent of number of TCP connections. Moreover, DRED solves RED's problems without introducing additional variable or much extra overhead. © 2011 Binary Information Press December, 2011.

关键词： Queueing theory

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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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Automatic Identification of Diffuse and Localized Activity for Topographical Distribution of EEG Rhythm Based on Suitable Reference Selection with Pre-judgments

Automatic Identification of Diffuse and Localized Activity f...

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2013 ICME International Conference on Complex Medical Engineering(2013 ICME复合医学工程国际会议)

作者： Bei Wang Xingyu Wang Akio Ikeda Takashi Nagamine Hiroshi Shibasaki Masatoshi Nakamura Key Laboratory of Advanced Control and Optimization for Chemical Processes(East China University of Department of Neurology Kyoto University Kyoto Japan Department of System Neuroscience Sapporo Medical University Hokkaido Japan Takeda General Hospital Kyoto Japan Research Institute of Systems Control Institute for Advanced Research and Education Saga Universit

ISBN: (纸本)9781467329705

An automatic reference selection method with prejudgments was developed in order to identify the two patterns of diffuse and localized EEG activity,as well as the topographical *** diffuse activity is identified and the effect of adopted reference is analyzed by using two *** localized activity is analyzed where the focal and distributed electrodes are derived based on an iterative detection ***,the suitable reference is determined which is adaptive to the actual characteristics of diffuse and localized ***,the topographical distribution is obtained automatically during the reference selection *** presented method has the performance to be an assistant and subjective tool for clinical application,especially for the quantitative interpretation on EEG rhythm.

关键词： Topographical distribution of EEG rhythm Automatic Identification Pre-judgments Reference selection Diffuse and localized activity

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Consensus in a network of multi-agent systems under sampled data control with deterministic packet losses

Consensus in a network of multi-agent systems under sampled ...

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Annual Conference of Industrial Electronics Society

作者： Wenbing Zhang Yang Tang School of Mathematical Sciences Yangzhou University Jiangsu P. R. China The Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai P. R. China

In this paper, consensus of multi-agent systems containing linear self dynamics is investigated. By considering packet losses, a sampled data protocol with packet losses is considered. A switched systems including stable modes and unstable modes is considered here to describe packet losses. By using the contradiction method and the Lyapunov function method, a sufficient condition on consensus of the multi-agent system under consideration is obtained, where the controller can be solved in the form of convex optimization approaches. In addition, the maximum sampling interval is also given.

关键词： Computational modeling Logic gates Robots Switches

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A combined computational-fluid-dynamics model and control strategies for perfusion bioreactor systems in tissue engineering

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IFAC-PapersOnLine 2021年第3期54卷 324-329页

作者： Ioana Nascu Daniel Sebastia-Saez Tao Chen Wenli Du Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai 200092 China Department of Chemical and Process Engineering University of Surrey GU2 7XH Guildford United Kingdom

This work sets the foundations for the design of control algorithms to facilitate manufacturing of a cell growth process using a continuous perfusion bioreactor. The algorithms are designed to work with different types of cell cultures and deal with major disturbances that might appear in the process. Different types of control strategies are designed, implemented and tested. First, a comprehensive mathematical model of convection and diffusion in a perfusion bioreactor, combined with cell growth kinetics, is developed and implemented using Computational Fluid Dynamics. The model describes the spatio-temporal evolution of glucose concentration and cell density within a 3D polymeric scaffold. Since such a model is too complex to be used directly for control studies, a simplified version is used for the design of the controllers. Finally, the performances of the control strategies are validated against the original high-fidelity CFD model, thus closing the loop. The simulations show good performances and satisfactory behavior.

关键词： tissue engineering perfusion bioreactor CFD modeling PID

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Global Sensitivity Analysis for a perfusion bioreactor system in tissue engineering

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IFAC-PapersOnLine 2021年第15期54卷 550-555页

作者： Ioana Nascu Tao Chen Wenli Du Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai 200092 China Department of Chemical and Process Engineering University of Surrey GU2 7XH Guildford United Kingdom

This work presents a global sensitivity analysis and simulations of a perfusion bioreactor process using the method of high-dimensional model representation (HDMR). This method was developed to express the input–output relationships of a complex model with a high dimensional input space. The comprehensive mathematical model of convection and diffusion in a perfusion bioreactor, combined with cell growth kinetics, is developed and implemented using Computational Fluid Dynamics (with the commercial software COMSOL Multiphysics v5.5). The model describes the spatio-temporal evolution of glucose concentration, oxygen concentration, lactate concentration and cell density within a 3D polymeric scaffold. A quantitative analysis of the complex kinetic mechanisms using recent development of advanced mathematical approaches to global sensitivity and uncertainty analysis through HDMR can be exploited to investigate the important features of the perfusion bioreactor process as well as possible factors underlying qualitative discrepancies.

关键词： tissue engineering perfusion bioreactor CFD modeling high-dimensional model representation global sensitivity analysis

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Denoising and Rhythms Extraction of EEG under +Gz Acceleration Based on Wavelet Packet Transform

Denoising and Rhythms Extraction of EEG under +Gz Accelerati...

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2013 ICME International Conference on Complex Medical Engineering(2013 ICME复合医学工程国际会议)

作者： Yifeng Li Tao Zhang Lue Deng Bei Wang Masatoshi Nakamura Department of Automation Tsinghua University Beijing 100084 China Air Force Institute of Aeromed Department of Automation Tsinghua University Beijing 100084 China Key Laboratory of Advanced Con Air Force Institute of Aeromedicine Beijing 100142 China Key Laboratory of Advanced Control and Optimization for Chemical Processes Shanghai 200237 China Research Institute of Systems Control Saga University Saga 840-0047 Japan

ISBN: (纸本)9781467329705

Filtering and feature extraction are very important in the analysis and study of EEG signal under +Gz *** this study,a new filter of different frequency characteristics of EEG signal under +Gz acceleration is constructed and four kinds of rhythms of EEG signal are extracted by using wavelet packet *** under different G loads is analyzed and compared,and then EEG dynamic characteristics are studied in order to analyze its advantages and *** results show that wavelet packet method can effectively suppress interference bands in EEG,such as EMG,power and so on,and effectively reflect the dynamic characteristics of different rhythms,exhibiting good *** proposed method is also applicable for analyzing and studying other dynamic biomedical signals.

关键词： EEG wavelet packet filtering denoising rhythms extraction

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Lag Quasi-Synchronization of Coupled Delayed Systems With Parameter Mismatch

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IEEE Transactions on Circuits and Systems I: Regular Papers 2011年第6期58卷 1345-1357页

作者： Wangli He Feng Qian Qing-Long Han Jinde Cao Key Laboratory of Advanced Control and Optimization of Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China Centre of Intelligent and Networked Systems and the School of Information and Communication Technology Central Queensland University Rockhampton QLD Australia Department of Mathematics South-East University Nanjing China

This paper is concerned with lag synchronization of two coupled delayed systems with parameter mismatch. Due to parameter mismatch, complete lag synchronization can not be achieved. Therefore, a new lag quasi-synchronization scheme is proposed to ensure that coupled systems are in a state of lag synchronization with an error level. Several simple criteria are derived and the error level is estimated by applying a generalized Halanary inequality and matrix measure. Three examples are given to illustrate the effectiveness of the proposed lag quasi-synchronization scheme. It is shown that as the coupling strength increases, the estimated error level is close to the simulated one, which well supports theoretical results.

关键词： Synchronization Measurement uncertainty Delay Linear matrix inequalities Trajectory Delay effects Couplings

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