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

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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Predictive control for Continuous Stirred Tank Reactors

Predictive Control for Continuous Stirred Tank Reactors

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2019 International Conference on Informatics, control and Robotics 2019信息学、控制和机器人学国际会议(ICICR2019)

作者： Ioana NASCU Ioan NASCU Wen-li DU Sai GU Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Department of Chemical and Process Engineering University of Surrey Department of Automation Technical University of Cluj-Napoca

The paper focuses on the implementation of a model based predictive control(MBPC) method, for Continuous Stirred Tank Reactors. First, the modelling problem of a single irreversible exothermic reaction, taking place in a perfectly mixed continuously stirred tank reactor(CSTR) is presented. The dynamic model consists of differential material and energy balance equations. The control strategy is investigated and evaluated by performing simulations and analyzing the results. The disturbance rejection capacity of the control system(regulatory control performances) have been tested and compared with those obtained using a classical Proportional Integral Derivative(PID) based controller. The results show that this control strategy has good performances and can be efficiently used to control the CSTR.

关键词： Predictive control PID control chemical reactor Process model

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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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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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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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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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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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An improved multi-stage nonlinear model predictive control with application to semi-batch polymerization

An improved multi-stage nonlinear model predictive control w...

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Asian control Conference

作者： Jinggao Sun Wuyue Yuan Rui Xue Mengling Wang Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology) Ministry of Education Shanghai China School of Information Science and Engineering East China University of Science and Technology Shanghai China

ISBN: (纸本)9781728102634

Nonlinear model predictive control (NMPC) has been widely applied in the chemical industry for its performance of dealing with the multiple input multiple output problem (MIMO) and handling constraints. However, the performance of NMPC would be affected by the accuracy of the model. The NMPC controller has to be robust to uncertainties in the model. In this paper, the scenario-tree based on multi-stage NMPC approach has been applied to the semi-batch polymerization reactor. In this approach, in order to ensure the reasonableness of the uncertain variables and scenario tree number, a Monte Carlo-based second-order nonlinear model and K-means cluster algorithm have been proposed. The weights of each scenario branches are also considered into variable. The simulation results show that the performance of the improved method is better and the variable weights has a good ability of improving the performance of controller.

关键词： Uncertainty Optimization Polymers Inductors Process control Monte Carlo methods chemicals

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Exploring Si/Mg Composite Supported Ziegler-Natta Ti-based Catalysts for Propylene Polymerization

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Chinese Journal of Polymer Science 2017年第12期35卷 1474-1487页

作者： Wei Zhu 田洲 Rui-hua Cheng Xue-lian He Zhen Liu Ning Zhao 刘柏平 State Key Laboratory of Chemical Engineering East China University of Science and Technology Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

A series of（SiO2/MgO/ID/MgCl2）·TiClx Ziegler-Natta catalysts for propylene polymerization has been prepared with a new method. These catalysts were synthesized using soluble Mg-compounds as the Mg-source and the preparation progress was relatively simple. The catalyst could copy the spherical shape of the carrier very well. The propylene polymerization results showed that the catalyst revealed the best activity with 9,9-di（methoxymethyl）fluorene（BMMF） as internal donor at 50 °C with the optimal molar ratio Al/Ti = 5, which was much lower than what the industrial polypropylene catalyst used（at least molar ratio Al/Ti = 100）, resulting in great cost saving. Additionally, the polymerization kinetics of the catalyst exhibited very stable property after achieving a relatively high value. These catalysts possessed rather high activity and good hydrogen response. The isotactic index（Ⅱ.） value of the PP products could be higher than 98% in the presence of both internal and external electron donors. Moreover, temperature rising elution fractionation method was used to understand the influence of donors and H2 on the properties of the PP products.

关键词： Polypropylene Ziegler-Natta catalyst External donor Intemal donor Kinetic curves

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Coordinated Optimization Method of Dual Head Gasoline Blending Under Strict Constraint Conditions

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Shiyou Xuebao, Shiyou Jiagong/Acta Petrolei Sinica (Petroleum Processing Section) 2019年第2期35卷 337-347页

作者： He, Renchu Chen, Haiquan Zhang, Weidong Zhu, Wenqi Key Laboratory of Advanced Control and Optimization Technology for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai200237 China Shanghai Key Laboratory of Intelligent Manufacturing and Robotics Shanghai University Shanghai200072 China Information and Measurement Center Jinling Company SINOPEC Nanjing210033 China Storage and Transportation Department Zhenhai Refining&Chemical Company SINOPEC Ningbo315207 China

For the upcoming China Ⅵ gasoline standard with much more strictly controlled properties, and high requirements for blending efficiency, a blending process and coordinated optimization algorithm for blending multiple brands of gasoline at the same time were developed. Octane number model, vapor pressure model, density model, distillation range model and content attribute model were established. The calculation process of octane number model and distillation range model have been improved, and 12 quality indicators of gasoline can be precisely monitored during the blending process. Considering the actual accumulative blending process, the properties of gasoline in the tank during the blending process should be converted into instantaneous properties zone at the blending head. The optimized properties of the blending head are used to compensate the properties deviation of the amount of blending and the tank bottom oil. Meanwhile, a reasonable and efficient coordination optimization algorithm is used to coordinate the upper limit of the common component oil, which solves the problem of scramble for the common component oil flow in the double blending head in the blending process. The simulation results show that the design method can be applied to the gasoline blending of double head in the field, and can also provide technical support for the upgrading of gasoline blending process under the China Ⅵ gasoline standard. © 2019, Editorial Office of Acta Petrolei Sinica(Petroleum Processing Section). All right reserved.

关键词： Gasoline

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