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Intelligent droplet tracking with correlation filters for digital microfluidics

Chinese chemical Letters 2021年第11期32卷 3416-3420页

作者： Libin Li Zhen Gu Jia-Le Zhou Bingyong Yan Cong Kong Hua Wang Hui-Feng Wang Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and TechnologyShanghai 200237China Key Laboratory of East China Sea Fishery Resources Exploitation Ministry of Agriculture and Rural AffairsEast China Sea Fisheries Research InstituteChinese Academy of Fishery SciencesShanghai 200090China Department of Laboratory Medicine Renji HospitalSchool of MedicineShanghai Jiao Tong UniversityShanghai 200137China

Tracking the movement of droplets in digital microfluidics is essential to improve its control stability and obtain dynamic information for its applications such as point-of-care testing,environment monitoring and chemical ***,an intelligent,accurate and fast droplet tracking method based on machine vision is developed for applications of digital *** continuously recognize the transparent droplets in real-time and avoid the interferes from background patterns or inhomogeneous illumination,we introduced the correlation filter tracker,enabling online learning of the multi-features of the droplets in Fourier *** show the proposed droplet tracking method could accurately locate the *** also demonstrated the capacity of the proposed method for estimation of the droplet velocity as faster as 20 mm/s,and its application in online monitoring the Griess reaction for both colorimetric assay of nitrite and study of reaction kinetics.

关键词： Digital microfluidics Correlation filter trackers Machine vision Reaction kinetics Colorimetric assay

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Quantum clustering-based weighted linear programming support vector regression for multivariable nonlinear problem

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Soft Computing 2009年第9期14卷 921-929页

作者： Yu, Yanfang Qian, Feng Liu, Huimin Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China

Linear programming support vector regression shows improved reliability and generates sparse solution, compared with standard support vector regression. We present the v-linear programming support vector regression approach based on quantum clustering and weighted strategy to solve the multivariable nonlinear regression problem. First, the method applied quantum clustering to variable selection, introduced inertia weight, and took prediction precision of v-linear programming support vector regression as evaluation criteria, which effectively removed redundancy feature attributes and also reduced prediction error and support vectors. Second, it proposed a new weighted strategy due to each data point having different influence on regression model and determined the weighted parameter p in terms of distribution of training error, which greatly improved the generalization approximate ability. Experimental results demonstrated that the proposed algorithm enabled the mean squared error of test sets of Boston housing, Bodyfat, Santa dataset to, respectively, decrease by 23.18, 78.52, and 41.39%, and also made support vectors degrade rapidly, relative to the original v-linear programming support vector regression method. In contrast with other methods exhibited in the relevant literatures, the present algorithm achieved better generalization performance.

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Regularized CSP with Fisher's criterion to improve classification of single-trial ERPs for BCI

Regularized CSP with Fisher's criterion to improve classific...

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2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012

作者： Zhang, Yu Zhao, Qibin Zhou, Guoxu Wang, Xingyu Cichocki, Andrzej Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai 200237 China Laboratory for Advanced Brain Signal Processing Brain Science Institute RIKEN Wako-shi Saitama 351-0198 Japan

ISBN: (纸本)9781467300223

A brain-computer interface (BCI) based on the combination of oddball paradigm and face perception has been introduced. Such BCI mainly exploits three event-related potential (ERP) components, namely vertex positive potential (VPP), N170 and P300 instead of only P300. With different temporal and spatial distributions of the three ERP components, a regularized common spatial pattern (CSP) with Fisher's criterion (FC), named FCCSP, is proposed to extract the most discriminative features for single trial classification of ERP components. With linear discriminant analysis (LDA) classifier, the proposed FCCSP spatial filtering method yields an average classification accuracy of 95.4% on seven healthy subjects for single-trial ERP components, which outperforms no spatial filtering, the CSP and the FC. © 2012 IEEE.

关键词： Brain computer interface

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A synthesis approach to predictive control for networked control systems 33

A synthesis approach to predictive control for networked con...

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Proceedings of the 33rd Chinese control Conference, CCC 2014

作者： Zou, Yuanyuan James, Lam Niu, Yugang Li, Dewei Key Laboratory of Advanced Control and Optimization for Chemical Process Ministry of Education East China University of Science and Technology Shanghai200237 China Department of Mechanical Engineering University of Hong Kong Hong Kong Department of Automation Shanghai Jiao Tong University Shanghai200240 China

ISBN: (纸本)9789881563842

This paper studies a synthesis approach to predictive control for networked control systems with data loss and quantization. An augmented Markov jump linear model with polytopic uncertainties is modeled to describe the quantization errors and possible data loss. Based on this model, a predictive control synthesis approach is developed, which involves online optimization of a infinite horizon objective and conditions to deal with system constraints. The proposed MPC algorithm guarantees closed-loop mean-square stability and constraints satisfaction. © 2014 TCCT, CAA.

关键词： Networked control systems

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Robust optimization for a Multi-Product Integrated Problem of Planning and Scheduling under Products Uncertainty

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Journal of Applied Mathematics and Physics 2015年第1期3卷 16-24页

作者： Mengwen Chen Cuiwen Cao Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology Shanghai China

This paper presents robust optimization models for a multi-product integrated problem of planning and scheduling (based on the work of Terrazas-Moreno & Grossmann (2011) [1]) under products prices uncertainty. With the objective of maximizing the total profit in planning time horizon, the planning section determines the amount of each product, each product distributed to each market, and the inventory level in each manufacturing site during each scheduling time period;the scheduling section determines the products sequence, start and end time of each product running in each production site during each scheduling time period. The uncertainty sets used in robust optimization model are box set, ellipsoidal set, polyhedral set, combined box and ellipsoidal set, combined box and polyhedral set, combined box, ellipsoidal and polyhedral set. The genetic algorithm is utilized to solve the robust optimization models. Case studies show that the solutions obtained from robust optimization models are better than the solutions obtained from the original integrated planning and scheduling when the prices are changed.

关键词： Uncertainty Robust optimization Integrated Problem of Planning and Scheduling GA

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A Facile Self-assembly Synthesis of Hexagonal ZnO Nanosheet Films and Their Photoelectrochemical Properties

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Nano-Micro Letters 2016年第2期8卷 137-142页

作者： Bin Zhang Faze Wang Changqing Zhu Qiang Li Jingnan Song Maojun Zheng Li Ma Wenzhong Shen Key Laboratory of Artificial Structures and Quantum Control (Ministry of Education) Department of Physics and Astronomy Shanghai Jiao Tong University Collaborative Innovation Center of Advanced Microstructures Nanjing University School of Chemistry & Chemical Technology Shanghai Jiao Tong University

Here, large-scale and uniform hexagonal zinc oxide(ZnO) nanosheet films were deposited onto indium tin oxide(ITO)-coated transparent conducting glass substrates via a facile galvanic displacement deposition process. Compared with other commonly used solution methods, this process avoids high temperature and electric power as well as supporting agents to make it simple and cost-effective. The as-fabricated ZnO nanosheet films have uniform hexagonal wurtzite structure. The photoelectrochemical(PEC) cell based on ZnO nanosheet film/ITO photoelectrode was also fabricated and its performance was improved by optimizing the solution concentration. A higher photocurrent density of*500 l A cm^(-2)under AM 1.5 G simulated illumination of 100 m W cm^(-2)with zero bias potential(vs. Ag/AgCl electrode) was obtained, which may ascribe to the increased surface-to-volume ratio of disordered Zn O nanosheet arrays. Our developed method may be used to deposit other oxide semiconductors, and the Zn O nanosheet film/ITO PEC cell can be used to design low-cost optoelectronic and photoelectrochemical devices.

关键词： Zinc oxide Nanosheet film Self-assemble Galvanic displacement method Photoelectrochemical property

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Active Disturbance Rejection control in Stribeck Friction Dynamic Compensation for High-accuracy Servo Systems 35

Active Disturbance Rejection Control in Stribeck Friction Dy...

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第35届中国控制会议

作者： WANG Lijun JIAO Ruihua LI Qing YIN Yixin ZHENG Qing School of Automation & Electrical Engineering University of Science and Technology Beijing Key Laboratory of Advanced Control of Iron and Steel Process Ministry of Education Department of Electrical and Computer Engineering Gannon University

ISBN: (纸本)9781509009107

The servo systems are always difficult to design with high-accuracy due to nonlinear stick-slip at the low velocities and the uncertainties of friction dynamic model.A linear active disturbance rejection control(ADRC) dynamic compensation solution is presented independent of the friction *** deal with the problem of observing or tracking for unknown discontinuous signals of friction with Stribeck effect,a kind of linear extended state observer(LESO) algorithm is *** a linear control law is proposed to compensate the friction disturbance *** comparison with proportional-integral-derivative(PID) controller,the simulation results show that the proposed method not only has better accuracy of the discontinuous friction signal tracking,but also ensures better dynamic friction compensation at the low velocities.

关键词： Disturbance rejection Extended state observer Servo systems Stribeck friction Discontinuous tracking

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A novel 3-layer mixed cultural evolutionary optimization framework for optimal operation of syngas production in a Texaco coal-water slurry gasifier

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Chinese Journal of chemical Engineering 2015年第9期23卷 1484-1501页

作者：曹萃文张亚坤于腾顾幸生辛忠李杰 Key Laboratory of Advanced Control and Optimization for Chemical Processes Ministry of Education East China University of Science and Technology State Key Laboratory of Chemical Engineering East China University of Science and Technology State Key Laboratory of Multiphase Complex Systems Institute of Processing Engineering Chinese Academy of Sciences

Optimizing operational parameters for syngas production of Texaco coal-water slurry gasifier studied in this paper is a complicated nonlinear constrained problem concerning 3 BP(Error Back Propagation) neural networks. To solve this model, a new 3-layer cultural evolving algorithm framework which has a population space, a medium space and a belief space is firstly conceived. Standard differential evolution algorithm(DE), genetic algorithm(GA), and particle swarm optimization algorithm(PSO) are embedded in this framework to build 3-layer mixed cultural DE/GA/PSO(3LM-CDE, 3LM-CGA, and 3LM-CPSO) algorithms. The accuracy and efficiency of the proposed hybrid algorithms are firstly tested in 20 benchmark nonlinear constrained functions. Then, the operational optimization model for syngas production in a Texaco coal-water slurry gasifier of a real-world chemical plant is solved effectively. The simulation results are encouraging that the 3-layer cultural algorithm evolving framework suggests ways in which the performance of DE, GA, PSO and other population-based evolutionary algorithms(EAs) can be improved,and the optimal operational parameters based on 3LM-CDE algorithm of the syngas production in the Texaco coalwater slurry gasifier shows outstanding computing results than actual industry use and other algorithms.

关键词： 3-Layer mixed cultural evolutionary framework Optimal operation Syngas production Coal-water slurry gasifier

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Distributed Self-triggered control for Consensus of Multi-agent Systems

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IEEE/CAA Journal of Automatica Sinica 2014年第1期1卷 40-45页

作者： Hao Zhang Gang Feng Huaicheng Yan Qijun Chen the Department of Control Science and Engineering Tongji University the Department of Mechanical and Biomedical Engineering City University of Hong Kong Department of Mechanical and Biomedical Engineering City University of Hong Kong the 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 Department of Control Science and Engineering Tongji University

This paper studies the consensus problem of general linear multi-agent systems via self-triggered control. Two distributed self-triggered control schemes based on state feedback and output feedback are developed respectively. It is shown that under the proposed control protocols, consensus can be reached if the communication graph of the multi-agent system is *** example is presented to illustrate the effectiveness of the proposed control methods.

关键词： Output feedback Multi-agent systems State feedback Measurement errors Mathematical model Equations

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Gain scheduled L-two-L-infinity filtering for neutral systems with jumping and time-varying parameters

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控制理论与应用（英文版） 2012年第1期10卷 118-123页

作者： Yanyan YIN Fei LIU Yan SHI Key Laboratory of Advanced Process Control for Light Industry （Ministry of Education） Institute of Automation Jiangnan University Wuxi Jiangsu 214122 China School of Industrial Engineering Tokai University 9-1-1 Toroku Kumamoto 862-8652 Japan

In this paper, global exponential stochastic stability based continuous gain-scheduled robust L-two-L- infinity filtering problem is studied for a class of stochastic neutral systems subject to time-varying parameters. First, the stochastic time-varying neutral systems are described by a series of stochastic time-constant systems at some selected time points, then based on stochastic Lyapunov-Krasovskii functional approach, a new globally exponentially stochastically stabilizable criterion is derived for each of the jumping system by means of linear matrix inequalities. Subsequently, L- two-L-infinity filtering systems are designed for such linear jump systems. Finally; continuous gain-scheduled approach is employed to design time-varying filter systems for the whole working region. A simulation example shows the effectiveness and potential of the developed techniques.

关键词： Time-varying neutral system Gain scheduling Exponential stochastic stability L-two-L-infinity filter-ing Markov jump

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