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第三十八届中国控制会议

作者： Lin Yao Yabin Liu Houbao Zhao Haojie Ding Shanghai Polytechnic University Shanghai Lixin University of Accounting and Finance Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

The paper proposes a new encoding method inspired from the block chain technology, by which an operation sequence information and the corresponding machine information is integrated in an operation node and links all operation nodes to form an operation list with pointer technology of C++ program language. Accordingly, the paper designs an individual unit ID for every possible cases. Subsequently, it describes the process of searching the optimal solution of FJSP by implementing an improved UKPK-PSO algorithm, which hybridizes a varied PSO algorithm by getting the best information from K informants and the method of keeping the elitists for next generation in iterations. With the improved algorithm we can more efficiently traverse the solution space. After obtained some better solutions with the improved PSO, we continuously search the optimal solutions by tentatively changing the chosen machines of the dominant operations. Finally, it outputs the optimal solution through some limited iterations again. By analyzing the experiment results for the instances, the paper furtherly proves that the whole algorithm is effective for FJSP.

关键词： Flexible job shop scheduling problems Particle Swarm Optimal Algorithm Block chain Technology Operations Research

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Stationary bipartite consensus of second-order multi-agent systems: an impulsive approach

Stationary bipartite consensus of second-order multi-agent s...

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IEEE Symposium Series on Computational Intelligence (SSCI)

作者： Zhen Li Wenqing Wang Yongqing Fan Wenle Zhang School of Automation Xi-an University of Posts & Telecommunications Xi-an China Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai China

ISBN: (数字)9781728124858

ISBN: (纸本)9781728124865

This paper studies the stationary bipartite consensus problem of a kind of multi-agent systems with second-order dynamics, where the impulsive control approach is utilized to design the control protocol. The impulsive control law is only considered by using position-based information, and the structure of control law is induced by a structurally balanced graph. Then, the stationary bipartite consensus problem has been converted to a convergence problem with respect to a finite product of stochastic matrices. By using the norm matrix and convex theory, this convergence problem is proven to be stability, which means that the stationary bipartite consensus problem is ensured. Subsequently, a numerical example is given to show the obtained result.

关键词： Multi-agent systems Convergence Lyapunov methods Stability analysis Numerical stability Topology Synchronization

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Robust L2 disturbance attenuation for a class of uncertain Lipschitz nonlinear systems with input delay

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International Journal of control 2019年第5期92卷 1015-1021页

作者： Zuo, Zongyu Wang, Chunyan Yang, Wen Ding, Zhengtao Beijing China Beijing China School of Electrical and Electronic Engineering University of Manchester Manchester United Kingdom Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai China

In this paper, we study a robust L2 disturbance attenuation problem that arises when applying the Artstein–Kwon–Pearson reduction transformation for a class of uncertain Lipschitz nonlinear systems with input delay and external disturbances. A conventional predictor-based feedback controller is adopted with the control gain matrix carefully identified by solving a couple of sufficient conditions in terms of linear matrix inequalities. Lyapunov–Krasovskii functionals are constructed to guarantee that the robust L2 disturbance attenuation problem can be solved by the proposed controller. A numerical example is included to validate the performance of the proposed controller. © 2017, © 2017 Informa UK Limited, trading as Taylor & Francis Group.

关键词： controllers

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Robust Semi-Global Leaderless Consensus and Containment control of Identical Linear Systems with Imperfect Actuators

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Journal of Systems Science & Complexity 2018年第1期31卷 69-86页

作者： SHI Liangren ZHAO Zhiyun LIN Zongli Department of Automation Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing of Ministry of Education Shanghai 200240 China Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology) Ministry of Education Shanghai 200237 China Charles L. Brown Department of Electrical and Computer Engineering University of Virginia P.O. Box 400743 Charlottesville VA 22904-4743 USA

This paper investigates both the robust semi-global leaderless consensus problem and the robust semi-global containment control problem for a group of identical linear systems with imperfect actuators. The imperfect actuators are characterized by nonlinearities such as saturation and dead zone and there input output relationships are not precisely known. The dynamics of follower agents are also affected by the input additive disturbances. Low-and-high gain feedback consensus protocols are constructed to solve these problems. More specifically, it is shown that robust semi-global leaderless consensus can be achieved over a connected undirected graph and robust semi-global containment control can be achieved when each follower agent has access to the information of at least one leader agent. Numerical simulation illustrates the theoretical results.

关键词： Consensus containment control dead zone leaderless consensus multi-agent systems saturation

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Carbon Electrode Materials for advanced Potassium-Ion Storage

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Angewandte Chemie 2023年第43期135卷

作者： Prof. Wenchao Zhang Rui Huang Prof. Xu Yan Prof. Chen Tian Prof. Ying Xiao Prof. Zhang Lin Prof. Liming Dai Prof. Zaiping Guo Prof. Liyuan Chai School of Metallurgy and Environment Central South University Changsha 410083 China Chinese National Engineering Research Centre for Control & Treatment of Heavy Metal Pollution Central South University Changsha 410083 China co-first authors Beijing Key Laboratory of Electrochemical Process and Technology for Materials Beijing University of Chemical Technology Beijing 100029 P. R. China Australian Carbon Materials Centre (A-CMC) School of Chemical Engineering University of New South Wales Sydney NSW-2052 Australia School of Chemical Engineering and Advanced Materials The University of Adelaide Adelaide SA-5005 Australia

Tremendous progress has been made in the field of electrochemical energy storage devices that rely on potassium-ions as charge carriers due to their abundant resources and excellent ion transport properties. Nevertheless, future practical developments not only count on advanced electrode materials with superior electrochemical performance, but also on competitive costs of electrodes for scalable production. In the past few decades, advanced carbon materials have attracted great interest due to their low cost, high selectivity, and structural suitability and have been widely investigated as functional materials for potassium-ion storage. This article provides an up-to-date overview of this rapidly developing field, focusing on recent advanced and mechanistic understanding of carbon-based electrode materials for potassium-ion batteries. In addition, we also discuss recent achievements of dual-ion batteries and conversion-type K−X (X=O 2 , CO 2 , S, Se, I 2 ) batteries towards potential practical applications as high-voltage and high-power devices, and summarize carbon-based materials as the host for K-metal protection and possible directions for the development of potassium energy-related devices as well. Based on this, we bridge the gaps between various carbon-based functional materials structure and the related potassium-ion storage performance, especially provide guidance on carbon material design principles for next-generation potassium-ion storage devices.

关键词： Anode Carbon Materials Dual-Ion Batteries K-Metal Potassium-Ion Storage

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Security of opinion dynamics in social networks ⁎

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IFAC-PapersOnLine 2019年第3期52卷 162-167页

作者： Long Gao Wen Yang Zhiyun Zhao Xiaofan Wang Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai China 200237 Department of Automation Shanghai Jiaotong University Shanghai China 200240 School of Mechatronic Engineering and Automation Shanghai University Shanghai China 200072

In this paper, we consider the security problem of opinion dynamics in attack-defense environment in social networks. First, we propose an opinion dynamics model, which is composed by attackers, defenders and the masses. In the proposed model, a set of attackers controlled by the agent with hostile opinion sends malicious opinion to their neighbors with a certain probability, and the defenders are activated by the agent with right opinion at a triggering time to lead the opinions of the masses to a safe zone. Second, we provide a sufficient condition to ensure the convergence of the expected opinions of the system. We also give the method to seek a lower bound of the opinions spread by the defenders at each time step while keeping the opinions in safe situation. Finally, we provide a numerical example to verify the main results.

关键词： Opinion dynamic attack-defense environment network security social network

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Oriented PLDL Nanofibers

Oriented PLDL Nanofibers

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Microelectronics Technology and Devices (SBMicro)

作者： Nayara M. da S. Carvalho Marcele F. Passos Maria Regina W. Maciel Rubens Maciel Filho Rogerio Furlan Laboratory of Optimization Design and Advanced Process Control School of Chemical Engineering University of Campinas Campinas Brazil National Institute of Biofabrication School of Chemical Engineering University of Campinas Campinas Brazil Department of Physics and Electronics University of Puerto Rico at Humacao Humacao Puerto Rico

In this work, we present novel results of poly (Lco-D, L lactic acid) (PLDL) nanofibers deposited using a nonconventional electrospinning process. It allows to obtain fibers with vertical and horizontal alignment simultaneously. Extending the deposition time, a membrane-like structure with oriented fibers can be collected that is a prospective material for biomedical applications. Fibers with a higher concentration of PLDL, dissolved in chloroform and acetone, resulted in well-formed fibers with small diameters (600 nm to 710 nm).

关键词： Electrodes Optical fiber devices Optical fiber polarization Plastics Tissue engineering Silicon Chlorine compounds

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Self-adaptive iterative hybrid modeling and its application in acetylene hydrogenation process

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Huagong Xuebao/CIESC Journal 2018年第11期69卷 4814-4822页

作者： Guo, Jingjing Xu, Jinjin Du, Wenli Ye, Zhencheng State Key Laboratory of Chemical Engineering Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai200237 China

The reaction mechanism of chemical process is complex. There is a modeling error between the mechanism model and the actual reaction system. At the same time, there are complex slow time-varying features, such as catalyst deactivation, fuel coking, etc. Thus there will be a mismatch between the process model and the actual process system. A self-adaptive iterative hybrid model (SAIHM) is established to reflect the dynamic characteristics of the process accurately over a long period. The mechanism model and the data-driven model are effectively combined to improve the prediction accuracy of the model;the data-driven model uses the deep recurrent neural network (DRNN) to fully exploit the timing relationship between adjacent conditions;the data-driven model is automatically updated based on the evaluation indicators to resolve the contradiction between accuracy and efficiency. The simulation and comparison results of the self-adaptive iterative hybrid model and the existing mechanism model established based on the historical operation data of an acetylene hydrogenation adiabatic reactor show that the self-adaptive iterative hybrid model can more effectively track the actual system. © All Right Reserved.

关键词： Dynamics

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流程工业制造系统智能化——人工智能与流程制造深度融合

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Engineering 2019年第6期 980-981页

作者：钱锋 Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

近年来,流程工业制造系统智能化得到了国内外学术界和工业界的高度关注和重视。各国政府联合学术界、工业界纷纷推出了智能制造的战略计划,其主要理念是在工业物联网基础上"通过融合知识的企业级资源计划优化、调度优化和生产过程... 详细信息

近年来,流程工业制造系统智能化得到了国内外学术界和工业界的高度关注和重视。各国政府联合学术界、工业界纷纷推出了智能制造的战略计划,其主要理念是在工业物联网基础上"通过融合知识的企业级资源计划优化、调度优化和生产过程优化实现过程工业的升级转型"。然而,

关键词：人工智能流程制造流程工业深度融合

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Ternary Compression for Communication-Efficient Federated Learning

arXiv

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arXiv 2020年

作者： Xu, Jinjin Du, Wenli Jin, Yaochu He, Wangli Cheng, Ran The Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China Shanghai Institute of Intelligent Science and Technology Tongji University Shanghai200092 China The Department of Computer Science University of Surrey GuildfordGU2 7XH United Kingdom Guangdong Provincial Key Laboratory of Brain-Inspired Intelligent Computation Department of Computer Science and Engineering Southern University of Science and Technology Shenzhen518055 China

Learning over massive data stored in different locations is essential in many real-world applications. However, sharing data is full of challenges due to the increasing demands of privacy and security with the growing use of smart mobile devices and IoT devices. Federated learning provides a potential solution to privacy-preserving and secure machine learning, by means of jointly training a global model without uploading data distributed on multiple devices to a central server. However, most existing work on federated learning adopts machine learning models with full-precision weights, and almost all these models contain a large number of redundant parameters that do not need to be transmitted to the server, consuming an excessive amount of communication costs. To address this issue, we propose a federated trained ternary quantization (FTTQ) algorithm, which optimizes the quantized networks on the clients through a self-learning quantization factor. Theoretical proofs of the convergence of quantization factors, unbiasedness of FTTQ, as well as a reduced weight divergence are given. On the basis of FTTQ, we propose a ternary federated averaging protocol (T-FedAvg) to reduce the upstream and downstream communication of federated learning systems. Empirical experiments are conducted to train widely used deep learning models on publicly available datasets, and our results demonstrate that the proposed T-FedAvg is effective in reducing communication costs and can even achieve slightly better performance on non-IID data in contrast to the canonical federated learning algorithms. Copyright © 2020, The Authors. All rights reserved.

关键词： Learning algorithms

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