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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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Track Association for B-spline Gaussian Mixture PHD Filter using Shape Information 3

Track Association for B-spline Gaussian Mixture PHD Filter u...

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2017 IEEE 第3届信息技术与机电一体化工程国际学术会议(ITOEC 2017)

作者： Peng Li Hongwei Ge Wenhui Wang Key Laboratory of Advanced Process Control for Light Industry(Jiangnan University) Ministry of Education School of Internet of Things Engineering Jiangnan University

The B-spline Gaussian mixture probability hypothesis density(BS-GM-PHD) filter can track an unknown number of extended targets and estimate their ***,the target tracks might be inaccurately

ISBN: (纸本)9781509053643;9781509053636

The B-spline Gaussian mixture probability hypothesis density(BS-GM-PHD) filter can track an unknown number of extended targets and estimate their ***,the target tracks might be inaccurately

关键词： filtering theory Gaussian processes probability splines (mathematics) target tracking shape information Target tracking filtering theory Gaussian processes Track Correlation Targets splines (mathematics) Filters

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Initial-Parameter-Criterion based Gaussian Mixture Model Monitoring Method for Non-Gaussian process

Initial-Parameter-Criterion based Gaussian Mixture Model Mon...

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第37届中国控制会议

作者： Ying Tian Wenli Du Shanghai Key Lab of Modern Optical System School of Optical-Electrical and Computer Engineering University of Shanghai for Science and Technology Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology

Gaussian mixture model(GMM) monitoring method is commonly used for non-Gaussian process monitoring. In GMM monitoring method, the final number of Gaussian components and the statistical distribution parameters are estimated through the improved Figueiredo-Jain(F-J) algorithm in the modeling phase. However, the data dimensionality of modern industry is high, the number of initial Gaussian components is large for the accuracy of the algorithm. Under this condition, the relative small number of samplings makes the denominator in the weight estimation formula of the improved F-J algorithm become zero and the algorithm suspends. To make the algorithm work well in an acceptable modeling time, we deduce the Initial-ParameterCriterion among initial Gaussian components, data dimension, sampling number and propose the Initial-Parameter-Criterion based GMM(IPC-GMM) monitoring method. The proposed monitoring method is used for TE process monitoring, simulation results reveal the effectiveness and necessity of IPC-GMM monitoring method.

关键词： non-Gaussian process monitoring Gaussian mixture model Initial-Parameter-Criterion

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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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control of continuous switched systems based on input and output strict passivity

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IET control Theory & Applications 2018年第14期12卷 1951-1955页

作者： Zairui Gao Ziyun Wang Zhicheng Ji Yunlong Liu Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Jiangnan University Wuxi People's Republic of China College of Information and Control Engineering Weifang University Weifang People's Republic of China

In this study, the authors study the issue of control of continuous switched systems based on the input and output strict passivity. First of all, for switched non-linear systems, by constructing non-linear controllers and an appropriate switching rule, a sufficient condition is given to guarantee the existence of a solution to the control problem based on the multiple Lyapunov functions method. It only requires that each subsystem exhibits input and output strict passivity in the activation interval, and not in the whole time domain. Next, for switched linear systems, a sufficient condition is obtained to guarantee the existence of a solution to the control problem based on the linear matrix inequality, and the controllers with explicit expressions of subsystems are designed. Finally, two examples are given to verify the feasibility and effectiveness of the results.

关键词： asymptotic stability Lyapunov methods time-varying systems nonlinear control systems linear matrix inequalities continuous time systems linear systems control system synthesis $H∞ control continuous switched systems input output strict passivity authors study switched nonlinear systems constructing nonlinear controllers appropriate switching rule sufficient condition control problem switched linear systems

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Improvement of Brain - Machine Interface Model on Dynamic Reaching Task

Improvement of Brain - Machine Interface Model on Dynamic Re...

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Chinese control Conference (CCC)

作者： Jinggao Sun Rui Xue Hongguang Pan Jiaxiong Yang Shuo Wang Key Laboratory of Advanced Control and Optimization Technology of Ministry of Education East China University of Science and Technology Shanghai China School of Electrical and Control Engineering Xi'an University of Science and Technology Xi'an China

Based on the relative and required velocity integration to endpoint (RRVITE) model, we extend the neuroprosthetic model for voluntary single joint reaching task by adding the vector models related to relative speed information, which improves the model performance in dynamic reaching task. Through the synthetic simulation, we show that the extended model performs much better than the original one in motion prediction and steady state accuracy. Using synthetic data obtained through the simulation of the original model, a linear decoder based on Weiner filter has been trained and introduced into the improved model to test its performance. Both the evaluation results and the online test results show that the improved model can also enhance the performance of the BMI system with decoder.

关键词： Mathematical model Integrated circuit modeling Task analysis Decoding Brain modeling Neural activity Force

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Unexpected Stacking Transformation from H- To J- To X-Aggregated Co-Crystals Leading to Tunable Mechanical and Optoelectronic Properties

SSRN

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SSRN 2020年

作者： Ji, Wei Xue, Bin Bera, Santu Guerin, Sarah Liu, Yanqing Yuan, Hui Li, Qi Yuan, Chengqian Shimon, Linda J.W. Ma, Qing Kiely, Evan Tofail, Syed A.M. Si, Mingsu Yan, Xuehai Cao, Yi Wang, Wei Yang, Rusen Thompson, Damien Li, Junbai Gazit, Ehud School of Molecular Cell Biology and Biotechnology George S. Wise Faculty of Life Sciences Tel Aviv University Tel Aviv6997801 Israel National Laboratory of Solid State Microstructure Department of Physics Nanjing University NanjingJiangsu210093 China Department of Physics Bernal Institute University of Limerick V94 T9PX Ireland Key Laboratory for Magnetism and Magnetic Materials of the Ministry of Education Lanzhou University Lanzhou730000 China Beijing National Laboratory for Molecular Sciences CAS Key Lab of Colloid Interface and Chemical Thermodynamics Institute of Chemistry Chinese Academy of Sciences Beijing100190 China School of Advanced Materials and Nanotechnology Xidian University Xi’an710126 China State Key Laboratory of Biochemical Engineering Institute of Process Engineering Chinese Academy of Sciences Beijing100190 China Department of Chemical Research Support Weizmann Institute of Science Rehovot76100 Israel Institute of Chemical Materials China Academy of Engineering Physics Mianyang621900 China Department of Materials Science and Engineering Iby and Aladar Fleischman Faculty of Engineering Tel Aviv University Tel Aviv6997801 Israel

Molecular stacking modes, generally classified as H-, J-, and X-aggregation play a key role in determining the optoelectronic properties of organic crystals. However, the control of stacking transitions of a specific molecule is an unmet challenge and a priori prediction of performance in different stacking modes is currently not possible. Herein, unexpected stacking transition from H- to J- and X- aggregation is observed in the crystal structure of a minimalistic aromatic molecule, 4,4’-bipyridine, upon co-assembled with N-acetyl-L-alanine, a non-aromatic amino acid derivative. This stacking transition improves the physicochemical properties of the co-crystals, including a large red-shifted emission, enhanced chirality, improved thermal stability and mechanical properties. While the single crystal of 4,4’-Bpy shows good optical waveguiding and piezoelectric properties, the co-crystal has a significantly lower band-gap and improved conductivity. This demonstrates the first example of H- to J- and X- packing transition of a minimalistic model by co-crystal aggregation and provides a proof-of-concept strategy for organic optoelectronics design. © 2020, The Authors. All rights reserved.

关键词： Supramolecular chemistry

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Yarn-dyed Fabric Defect Detection with YOLOV2 Based on Deep Convolution Neural Networks

Yarn-dyed Fabric Defect Detection with YOLOV2 Based on Deep ...

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Data Driven control and Learning Systems (DDCLS)

作者： Hong-wei Zhang Ling-jie Zhang Peng-fei Li De Gu Xi’an Polytechnic University Xi’an ShaanXi China Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education) Institute of Automation Jiangnan University Wuxi China

ISBN: (纸本)9781538626191

To reduce labor costs for manual extract image features of yarn-dyed fabric defects, a method based on YOLOV2 is proposed for yarn-dyed fabric defect automatic localization and classification. First, 276 yarn-dyed fabric defect images are collected, preprocessed and labelled. Then, YOLO9000, YOLO-VOC and Tiny YOLO are used to construct fabric defect detection models. Through comparative study, YOLO-VOC is selected to further model improvement by optimize super-parameters of deep convolutional neural network. Finally, the improved deep convolutional neural network is tested for yarn-dyed fabric defect detection on practical fabric images. The experimental results indicate the proposed method is effective and low labor cost for yarn-dyed fabric defect detection.

关键词： Fabrics Feature extraction Convolution Predictive models optimization Training

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Iterative learning control design for uncertain time-delay systems by generalized KYP synthesis

Iterative learning control design for uncertain time-delay s...

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第37届中国控制会议

作者： Wojciech Paszke Eric Rogers Hongfeng Tao Krzysztof Ga?kowski Institute of Control and Computation Engineering University of Zielona Góra Department of Electronics and Computer Science University of Southampton Key Laboratory of Advanced Process Control for Light Industry of Ministry of Education Jiangnan University

This paper deals with the problem of designing an iterative learning control scheme for uncertain time-delay systems using differential repetitive process stability theory. The resulting design produces a stabilizing feedback controller in the time domain and a feedforward controller that guarantees monotonic convergence in the trial-to-trial domain for all admissible uncertainties. The design procedures are delay dependent since the obtained results depend on the size of state delay and are also extended to limited frequency range design specification. A new design procedure is developed in terms of linear matrix inequalities, which guarantee prescribed performance specifications. Finally, a simulation example is given to illustrate the application of the new results.

关键词： Iterative learning control time-delay systems polytopic uncertainty finite frequency domain

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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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