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Scatter Search Based Particle Swarm optimization Algorithm for Earliness/Tardiness Flowshop Scheduling with Uncertainty

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International Journal of Automation and computing 2016年第3期13卷 285-295页

作者： Jia-Can Geng Zhe Cui Xing-Sheng Gu Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of EducationEast China University of Science and Technology

Considering the imprecise nature of the data in real-world problems, the earliness/tardiness （E/T） fiowshop scheduling problem with uncertain processing time and distinct due windows is concerned in this paper. A fuzzy scheduling model is established and then transformed into a deterministic one by employing the method of maximizing the membership function of middle value. Moreover, an effective scatter search based particle swarm optimization （SSPSO） algorithm is proposed to minimize the sum of total earliness and tardiness penalties. The proposed SSPSO algorithm incorporates the scatter search （SS） algorithm into the frame of particle swarm optimization （PSO） algorithm and gives full play to their characteristics of fast convergence and high diversity. Besides, a differential evolution （DE） scheme is used to generate solutions in the SS. In addition, the dynamic update strategy and critical conditions are adopted to improve the performance of SSPSO. The simulation results indicate the superiority of SSPSO in terms of effectiveness and efficiency.

关键词： Earliness/tardiness （E/T） scheduling fuzzy modeling scatter search （SS） particle swarm optimization （PSO）.

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Solving chemical dynamic optimization problems with ranking-based differential evolution algorithms

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Chinese Journal of chemical Engineering 2016年第11期24卷 1600-1608页

作者： Xu Chen Wenli Du Feng Qian Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China School of Electrical and Information Engineering Jiangsu University Zhenjiang 212013 China

Dynamic optimization problems(DOPs) described by differential equations are often encountered in chemical engineering. Deterministic techniques based on mathematic programming become invalid when the models are non-differentiable or explicit mathematical descriptions do not exist. Recently, evolutionary algorithms are gaining popularity for DOPs as they can be used as robust alternatives when the deterministic techniques are invalid. In this article, a technology named ranking-based mutation operator(RMO) is presented to enhance the previous differential evolution(DE) algorithms to solve DOPs using control vector parameterization. In the RMO, better individuals have higher probabilities to produce offspring, which is helpful for the performance enhancement of DE algorithms. Three DE-RMO algorithms are designed by incorporating the RMO. The three DE-RMO algorithms and their three original DE algorithms are applied to solve four constrained DOPs from the literature. Our simulation results indicate that DE-RMO algorithms exhibit better performance than previous non-ranking DE algorithms and other four evolutionary algorithms.

关键词： Dynamic optimization Differential evolution Ranking-based mutation operator control vector parameterization

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H∞ impulsive consensus of multi-agent systems with external disturbances

H∞ impulsive consensus of multi-agent systems with external...

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Annual Conference of Industrial Electronics Society

作者： Wenbing Zhang Yang Tang Dandan Zhang Xin Peng Department of Mathematics Yangzhou University Jiangsu China The Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai China

H ∞ consensus is investigated for multi-agent systems with linear dynamics and impulsive effects in this paper. First of all, by considering the effects of distributed impulses, the model of linear multi-agent systems with impulsive effects and external disturbances has been obtained. Then, in view of the average impulsive interval and the Lyapunov stability theory, an algorithm has been given to solve the H ∞ impulsive consensus for the linear multi-agent system under consideration. The theoretical results are verified by an example in the final.

关键词： Multi-agent systems Heuristic algorithms Lyapunov methods Protocols optimization chemical processes Topology

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Tracking performance limitations of mimo networked control systems with multiple communication constraints

arXiv

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arXiv 2019年

作者： Chen, Chao-Yang Gui, Weihua Wu, Lianghong Liu, Zhaohua Yan, Huaicheng School of Information and Electrical Engineering Hunan University of Science and Technology Xiangtan411201 China School of Information Science and Engineering Central South University Changsha410012 China Center for Polymer Studies Department of Physics Boston University BostonMA02215 United States School of Information Science and Engineering Central South University Changsha410012 China School of Information and Electrical Engineering Hunan University of Science and Technology Xiangtan411201 China Key Laboratory of Advanced Control and Optimization for Chemical Process of Ministry of Education East China University of Science and Technology Shanghai200237 China College of Mechatronics and Control Engineering Hubei Normal University Huangshi435002 China

In this paper, the tracking performance limitation of networked control systems (NCSs) is studied. The NCSs is considered as continuous-time linear multi-input multi-output (MIMO) systems with random reference noises. The controlled plants include unstable poles and non-minimum phase (NMP) zeros. The output feedback path is affected by multiple communication constraints. We focus on some basic communication constraints, including additive white noise (AWN), quantization noise, bandwidth, as well as encoder-decoder. The system performance is evaluated with the tracking error energy, and used a two-degree of freedom (2DOF) controller. The explicit representation of the tracking performance is given in this paper. The results indicate the tracking performance limitations rely to internal characteristics of the plant (unstable poles and NMP zeros), reference noises (the reference noise power distribution (RNPD) and its directions) and the characteristics of communication constraints. The characteristics of communication constraints include communication noise power distribution (CNPD), quantization noise power distribution (QNPD), and their distribution directions, transform bandwidth allocation (TBA), transform encoder-decoder allocation (TEA), and their allocation directions, and NMP zeros and MP part of bandwidth. Moreover, the tracking performance limitations are also affected by the angles between the each transform NMP zero direction and RNPD direction, and these angles between each transform unstable poles direction and the direction of communication constraint distribution/allocation. In addition, for MIMO NCSs, bandwidth (there are not identical two channels) always can affects the direction of unstable poles, and the channel allocation of bandwidth and encode-decode may be used for a feasible method for the performance allocation of each channels. Lastly, a instance is given for verifying the effectiveness of the theoretical outcomes. Copyright © 2019, The Aut

关键词： Bandwidth

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Hybrid Consensus-based Algorithm for Distributed Economic Dispatch Problem

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IFAC-PapersOnLine 2017年第1期50卷 177-182页

作者： Liu X.-K. Wang Y.-W. Yan H. Wang X. Hu X. School of Automation Huazhong University of Science and Technology Wuhan 430074 China Key Laboratory of Image Processing and Intelligent Control (Huazhong University of Science and Technology) Ministry of Education China Key Laboratory of Advanced Control Optimization for Chemical Process of Ministry of Education China School of Information Science and Engineering East China University of Science and Technology 130 Meilong Road Shanghai 200237 China

Economic dispatch is one of the fundamental problems in the power system research. The existing algorithms are either discrete iterative algorithms or continuous-time dynamical algorithms. By virtue of the hybrid techniques, a hybrid consensus-based algorithm is proposed in this paper, which consists of a finite-time continuous-time algorithm and a discrete-time interacted scheme. Moreover, inspired by the cluster synchronization and the benefit of the projection operator, a supervised strategy is carried out to ensure that each generator unit will work within its power generation constraint. For a better understanding of the supervised hybrid distributed algorithm, the detailed pseudo-code is presented. Finally, a numerical example is given to illustrate the effectiveness of the algorithm. © 2017

关键词： consensus protocol distributed optimization economic dispatch hybrid system smart grid

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Concurrent Modeling and Monitoring of Multi-unit Dynamic processes Based on GA-regularized Dynamic Canonical Correlation Analysis

Concurrent Modeling and Monitoring of Multi-unit Dynamic Pro...

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第28届中国过程控制会议（CPCC 2017）暨纪念中国过程控制会议30周年

作者： Qingchao Jiang Furong Gao Biao Huang Xuefeng Yan Department of Chemical and Biomolecular Engineering The Hong Kong University of Science and Technology Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education East China University of Science and Technology

Modern chemical processes are usually characterized by large scale,multiple operation units,and high dynamic,and monitoring of these processes is *** paper proposes a genetic algorithm(GA)-regularized dynamic canonical correlation analysis(DCCA)-based concurrent modeling and monitoring scheme for multi-unit dynamic ***,the DCCA modeling is performed between each unit and the entire process to characterize both cross-correlation and auto-correlation among ***,the GA regularization is performed for each unit to explore communicating variables and reduce the communication *** a residual-based local fault detector is established for each unit,which performs fault detection by considering both the variables of the local unit and the information provided by its related units,and therefore exhibits superior monitoring *** proposed monitoring scheme is applied on a numerical example and an industrial tail gas treatment *** results demonstrate the feasibility and efficiency of the proposed approach.

关键词： Fault detection Multi-unit dynamic processes Canonical correlation analysis Process monitoring

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Reaction mechanism of methyl nitrite dissociation during co catalytic coupling to dimethyl oxalate:A density functional theory study

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Chinese Journal of chemical Engineering 2016年第1期24卷 132-139页

作者： Chen Fan Man Luo Wende Xiao Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology (ECUST) School of Chemistry and Chemical Engineering Shanghai Jiao Tong University (SJTU)

Dissociation of methyl nitrite is the first step during CO catalytic coupling to dimethyl oxalate followed by hydrogenation to ethyl glycol in a typical coal to liquid process. In this work, the first-principle calculations based on density functional theory were performed to explore the reaction mechanism for the non-catalytic dissociation of methyl nitrite in the gas phase and the catalytic dissociation of methyl nitrite on Pd(111) surface since palladium supported on alpha-alumina is the most effective catalyst for the coupling. For the non-catalytic case, the calculated results show that the CH_3O–NO bond will break with a bond energy of 1.91 eV, and the produced CH_3O radicals easily decompose to formaldehyde, while the further dissociation of formaldehyde in the gas phase is difficult due to the strong C–H bond. On the other hand, the catalytic dissociation of methyl nitrite on Pd(111) to the adsorbed CH_3O and NO takes place with a small energy barrier of 0.03 eV. The calculated activation energies along the proposed reaction pathways indicate that(i) at low coverage, a successive dehydrogenation of the adsorbed CH_3O to CO and H is favored while(ii) at high coverage, hydrogenation of CH_3O to methanol and carbonylation of CH_3O to methyl formate are more preferred. On the basis of the proposed reaction mechanism,two meaningful ways are proposed to suppress the dissociation of methyl nitrate during the CO catalytic coupling to dimethyl oxalate.

关键词： Methyl nitrite Catalytic Non-catalytic Dissociation Density functional theory

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Research on online multiple model soft-sensor

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chemical Engineering Transactions 2017年 61卷 1795-1800页

作者： Wang, Shijie Wang, Zhenlei Wang, Xin Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai200237 China Center of Electrical and Electronic Technology Shanghai Jiao Tong University Shanghai200240 China

Offline updating is a method that most of multiple model soft-sensors used to adapt the new operating conditions. Replacing online models with offline ones is bound to affect the efficiency of soft-sensors, and it costs manpower as well as time simultaneously. It takes maintenance staffs some time to re-train complete models, which requires a lot of historical data, and then the existing models will be changed with new ones. A soft-sensor that can be added or subtracted models online is proposed in this paper. Density-based spatial clustering of applications with noise (DBSCAN) is employed for clustering analysis. Compared with traditional kernel fuzzy clustering method (KFCM), DBSCAN improves the ability of filtering out noise and enhance the ability to decide whether there is a new working condition. However, the clustering results of DBSCAN are extremely sensitive to the input parameters. In this study, kernel density estimation (KDE) is applied to determine the number of subsets and a novel method is proposed to determine the parameters. The new sub-models can be directly added to the online models after trained. The results of soft-sensor achieved by a number of models according to the switching or weighted way. The method proposed in this paper is applied to the measurement of cracking depth of ethylene cracking furnace, which proves the practicability and effectiveness. Copyright © 2017, AIDIC Servizi S.r.l.

关键词： Ethylene

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A valve stiction and time delay control method based on fuzzy smith internal model principle

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chemical Engineering Transactions 2017年 61卷 577-582页

作者： Zhang, Hao Wang, Xin Wang, Zhenlei Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai200237 China Center of Electrical and Electronic Technology Shanghai Jiao Tong University Shanghai200240 China

In the process of chemical production, the phenomenon of control valve's stiction is very common. This phenomenon causes control loop oscillation and has a negative effect on the quality and cost of the product. Time delay exists widely in industrial process, which leads to the variation of the dynamic response of the system. In this paper, taking the stiction model proposed by Kano as an example, then puts forward a method of smith internal model control based on fuzzy theory. This paper try to solve the stiction problem by controller designed. This control method can realize the parameter self-tuning and overcome the stiction. Simulation results show that the method proposed can effectively overcome the loop oscillation and improve the performance of the system. Copyright © 2017, AIDIC Servizi S.r.l.

关键词： Stiction

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Data-driven online operating performance assessment for multi-datasets multivariable industrial processes

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chemical Engineering Transactions 2017年 61卷 1729-1734页

作者： Du, Yupeng Wang, Zhenlei Wang, Xin Key Laboratory of Advanced Control and Optimization for Chemical Processes East China University of Science and Technology Shanghai200237 China Center of Electrical and Electronic Technology Shanghai Jiao Tong University Shanghai200240 China

In this study, a novel online operating performance assessment method based on multi-sets two-step basis vector extraction artificial neural networks (MTBVE-ANN) strategy is proposed for industrial applications. The MTBVE-ANN method focuses on finding common and specific information involved in multi-datasets, which improves the accuracy of data nonlinear characterization with artificial neural networks introduced. The optimality related variations are extracted from each operating performance grade by analysing the common and unique variations over online steady performance grades. The online operating performance assessment method is performed based on the similarities between the optimality related variations of the test data and that of historical training data. Previously, total projection to latent structures (T-PLS) operating performance assessment method must be performed based on the availability of both input and output data. The proposed method in this paper takes the artificial neural network to assess the operating performance grade of the online test data without output. The validity and precision of the proposed operating performance assessment method is illustrated with the industrial data of multi-datasets multivariable industrial processes. Copyright © 2017, AIDIC Servizi S.r.l.

关键词： Neural networks

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