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第36届中国控制会议

作者： Xuping Zhou Huaicheng Yan Chen Peng Fuwen Yang Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education East China University of Science and Technology School of Mechatronic Engineering and Automation Shanghai University School of Engineering Griffith University

ISBN: (纸本)9781538629185

This paper proposes a sliding mode estimation-based control to solve the stochastic time delay problem in networked microgrid,because stochastic delay has a great impact on the stability and performance of large power grids（LPG）.To analyze the delay effects,the microgrid system model is derived according to the characteristics of the inverter in grid-connected *** on the microgrid system model,the stochastic delay estimation with learning parameter and delayed states are *** control signal designed by sliding mode control（SMC） and the learning parameter of delay estimation are adaptively changed in the sliding mode estimation-based control *** reaching law（ERL） is proposed to solve the chattering issues of *** 3.3 KW microgrid parameters are added into simulation to verify the effectiveness and performance of the proposed control strategy.

关键词： Networked Microgrid Sliding Mode control(SMC) Stochastic Delay Estimation

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Optimal Leader Selection for Fast Consensus via Consensus Centrality 33

Optimal Leader Selection for Fast Consensus via Consensus Ce...

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第三十三届中国控制会议

作者： WANG Ying YANG Wen WANG Xiaofan Department of Automation Shanghai Jiao Tong Universityand Key Laboratory of System Control and Information ProcessingMinistry of Education of China Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology) Ministry of Education

ISBN: (纸本)9781479947249

In real applications,network resources are generally *** by the significance of optimizing network,the consensus centrality index is proposed to quantify how fast a leader could guide all the nodes in a network to reach the desired *** the basis of complex networks,the relation of the consensus centrality distribution and the degree distribution in several model and real networks is ***,the influence of network structure on consensus performance is *** the network becoming more heterogeneous or denser,the maximum consensus centrality *** faster convergence speed can be achieved if the node with the maximum consensus centrality is selected leader.

关键词： Consensus centrality,Fast convergence,Leader selection,Frequency distribution,Pearson correlation coefficient.

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Thermal Decomposition Behavior of Terephthalate in Inert Gas

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China Petroleum processing & Petrochemical Technology 2017年第3期19卷 1-8页

作者： Yu Jing Wang Jiming Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of EducationEast China University of Science and TechnologyShanghai 200237 DuPont China Holding Co. LtdShanghai 201203 School of Chemical Engineering East China University of Science and TechnologyShanghai 200237

Several metal terephthalates were synthesized by hydrothermal solvent method. Firstly, the coordination type of metal ions and carboxylates in terephthalate was studied by FTIR spectroscopy. The results showed that the binding type of zinc terephthalate and aluminum terephthalate are mainly bridged coordination, while the chelating coordination mode dominated in the magnesium terephthalate and cerium terephthalate. Secondly, the thermal decomposition mechanism of zinc terephthalate in nitrogen atmosphere was studied by TG and Py-GC/MS techniques. Finally, the activation energy of the thermal decomposition process was obtained by the Friedman method and the Flynn-Wall-Ozawa(FWO) method, and the most probabilistic function was obtained by multiple linear fitting. The results showed that the decomposition process of zinc terephthalate was an one-step reaction and the activation energy was equal to 187.38 kJ/mol.

关键词： terephthalate TG/DTG thermal decomposition mechanism kinetics

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Multimode process Monitoring Based on Fuzzy C-means in Locality Preserving Projection Subspace

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Chinese Journal of chemical Engineering 2012年第6期20卷 1174-1179页

作者：解翔侍洪波 Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and TechnologyMinistry of Education

For complex industrial processes with multiple operational conditions, it is important to develop effective monitoring algorithms to ensure the safety of production processes. This paper proposes a novel monitoring strategy based on fuzzy C-means. The high dimensional historical data are transferred to a low dimensional subspace spanned by locality preserving projection. Then the scores in the novel subspace are classified into several overlapped clusters, each representing an operational mode. The distance statistics of each cluster are integrated though the membership values into a novel BID (Bayesian inference distance) monitoring index. The efficiency and effectiveness of the proposed method are validated though the Tennessee Eastman benchmark process.

关键词： multimode process monitoring fuzzy C-means locality preserving projection integrated monitoring index Tennessee Eastman process

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Containment control for the Cooperative Output Regulation of Linear Multi-Agent Systems

Containment Control for the Cooperative Output Regulation of...

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第三十二届中国控制会议

作者： SHEN Yanchao YAN Huaicheng ZHANG Hao SHI Hongbo Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education School of Information Science and Engineering East China University of Science and Technology

ISBN: (纸本)9781479900305

In this paper, the containment control problem is studied for the cooperative output regulation of linear multi-agent systems(MASs). The output regulation problem initiated from single-leader-follower region is extended to the multi-leaders-follower region. The purpose of this paper is to design a containment control algorithm such that all the followers can move into the convex hull formed by the leaders. A sufficient and necessary condition in term of a linear matrix inequality (LMI) is derived for the existence of a containment controller protocol that guarantees the followers are capable to follow the trail of leader and the output error will converge to zero with the time elapsing. Then, a controller design procedure is given to construct the feedback gain matrix and select the proper gain matrix for achieving final consensus of the MASs. Compared with the existing algorithms, the proposed one requires less information and calculation of the velocities measurement of the agents. Finally, a numerical example is illustrated to show the usefulness of the designed containment controller.

关键词： Containment control, Linear system, Multi-agent systems, Output regulation

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Fixed-Time Anti-Disturbance Average-Tracking for Multi-Agent Systems Without Velocity Measurements

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Journal of Systems Science & Complexity 2024年第3期37卷 985-1002页

作者： LI Yuling LIU Chenglin ZHANG Ya CHEN Yangyang Key Laboratory of Advanced Process Control for Light Industry(Ministry of Education) Institute of AutomationJiangnan UniversityWuci 214122China School of Automation Southeast UniversityNanjing 210096China

In this paper,the authors tackle a fixed-time average-tracking problem for multi-agent systems which do not require velocity measurements and are affected by external mismatched and matched *** objective requires the considered agents with second-order dynamics to follow the average value of several time-varying reference signals,each of which is acquired by only one *** of all,the average value is estimated by using a novel distributed average estimator in a fixed ***,an original observer is created to provide estimated values in a fixed time for external mismatched and matched disturbances as well as unmeasured velocities of ***,the authors propose a novel fixed-time anti-disturbance average-tracking protocol with the aid of the observer and a sliding mode *** the end,the feasibility of theoretical analysis is illustrated by some simulation experiments.

关键词： Average-tracking control fixed-time algorithm fixed-time observer mismatched distur-bances multi-agent systems velocity measurements

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A Discrete Artificial Bee Colony Algorithm for Minimizing the Total Flow Time in the Blocking Flow Shop Scheduling Problem

A Discrete Artificial Bee Colony Algorithm for Minimizing th...

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第23届过程控制会议

作者： Guanlong Deng Zhenhao Xu Xingsheng Gu Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education Eas Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education Eas

A discrete artificial bee colony algorithm is proposed for solving the blocking flow shop scheduling problem with total flow time criterion. Firstly, the solution in the algorithm is represented as job permutation. Secondly, an initialization scheme based on a variant of the NEH heuristic and a local search is designed to construct the initial population with both quality and diversity. Thirdly, based on the idea of iterated greedy algorithm, some newly designed schemes for employed bee, onlooker bee and scout bee are presented. The performance of the proposed algorithm is tested on the well-known Taillard benchmark set, and computational results demonstrate the effectiveness of the discrete artificial bee colony algorithm. In addition, the best known solutions of the benchmark set are provided for the blocking flow shop scheduling problem with total flow time criterion.

关键词： Flow shop scheduling Blocking Artificial bee colony algorithm Total flow time

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Path Planning for Mobile Anchor Node in Localization Based on Ad-Hoc Localization Algorithm

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Journal of Donghua University(English Edition) 2014年第2期31卷 212-216页

作者：蒲石祁荣宾靳文浩钱锋 Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of EducationEast China University of Science and Technology Shanghai Consulting & Academic Activeties Center for Academicians of Chinese Academy of Engineering

For mobile anchor node static path planning cannot accord the actual distribution of node for dynamic adjustment. We take advantage of the high localization accuracy and low computational complexity of ad-hoc localization system( AHLos)algorithm. This article introduces mobile anchor nodes instead of the traditional fixed anchor nodes to improve the algorithm. The result shows that, through introduce the mobile anchor node, the information of initial anchor nodes can be configured more ***,with the use of the approximate location and the transition path,the distance and energy consumption of the mobile anchor node is greatly reduced.

关键词： mobile anchor node path planning ad-hoc localization system(AHLos) approximate location transition path

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Enhancing the Performance of JADE Using Two-phase Parameter control Scheme and Its Application

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International Journal of Automation and computing 2018年第4期15卷 462-473页

作者： Qin-Qin Fan Yi-Lian Zhang Xue-Feng Yan Zhi-Huan Wang Logistics Research Center Shanghai Maritime UniversityShanghai 201306China Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology Shanghai 200237China Key Laboratory of Marine Technology and Control Engineering Ministry of Communications Shanghai Maritime UniversityShanghai 201306China

The search efficiency of differential evolution （DE） algorithm is greatly impacted by its control parameters. Although many adaptation/self-adaptation techniques can automatically find suitable control parameters for the DE, most techniques are based on pop- ulation information which may be misleading in solving complex optimization problems. Therefore, a self-adaptive DE （i.e., JADE） using two-phase parameter control scheme （TPC-JADE） is proposed to enhance the performance of DE in the current study. In the TPC-JADE, an adaptation technique is utilized to generate the control parameters in the early population evolution, and a well-known empirical guideline is used to update the control parameters in the later evolution stages. The TPC-JADE is compared with four state-of-the-art DE variants on two famous test suites （i.e., IEEE CEC2005 and IEEE CEC2015）. Results indicate that the overall performance of the TPC-JADE is better than that of the other compared algorithms. In addition, the proposed algorithm is utilized to obtain optimal nutrient and inducer feeding for the Lee-Ramirez bioreactor. Experimental results show that the TPC-JADE can perform well on an actual dynamic optimization problem.

关键词： Differential evolution(DE)algorithm evolutionary computation dynamic optimization control parameter adaptation chemical processes.

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Robust PD-type iterative learning control design for uncertain batch processes subject to nonrepetitive disturbances 41

Robust PD-type iterative learning control design for uncerta...

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第41届中国控制会议

作者： Robert Maniarski Wojciech Paszke Shoulin Hao Hongfeng Tao Institute of Automation Electronic and Electrical EngineeringUniversity of Zielona Góra Key Laboratory of Intelligent Control and Optimization for Industrial Equipment of Ministry of Education Dalian University of Technology Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education Jiangnan University

ISBN: (数字)9789887581536

ISBN: (纸本)9781665482561

This paper develops PD-type iterative learning control schemes for a class of uncertain batch processes subject to nonrepetitive *** means of two-dimensional/repetitive setting,the sufficient conditions for batch-to-batch error convergence and H disturbance attenuation are formulated and ***,the procedure for computing the desired control law matrices is formulated in terms of solvability of linear matrix *** proposed control law is able to fulfil the imposed design specifications,i.e.,they are suitable for the batch processes with time-varying uncertainties as well as non-repetitive *** illustrative example is used to validate the proposed control scheme and demonstrates a possible applicability of the developed results.

关键词： iterative learning control repetitive processes batch processes robust control nonrepetitive disturbances

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