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作者： Dong, Daoyi Petersen, Ian R. School of Engineering and Information Technology University of New South Wales Australian Defence Force Academy Canberra ACT 2600 Australia Institute of Cyber-Systems and Control State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou 310027 China

This paper proposes a robust control method based on sliding mode design for two-level quantum systems with bounded uncertainties. An eigenstate of the two-level quantum system is identified as a sliding mode. The objective is to design a control law to steer the system's state into the sliding mode domain and then maintain it in that domain when bounded uncertainties exist in the system Hamiltonian. We propose a controller design method using the Lyapunov methodology and periodic projective measurements. In particular, we give conditions for designing such a control law, which can guarantee the desired robustness in the presence of the uncertainties. The sliding mode control method has potential applications to quantum information processing with uncertainties. © 2012 Elsevier Ltd. All rights reserved.

关键词： Sliding mode control

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Research on the TRF model for states observing and feedback of process production systems

Research on the TRF model for states observing and feedback ...

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第23届过程控制会议

作者： ZHU Wei ZHU Feng RONG Gang State Key Laboratory of Industrial Control Technology Institute of Cyber-System and ControlZhejian State Key Laboratory of Industrial Control Technology Institute of Cyber-System and Control Zhejia

For very long period, most of the research activities in the community have always focused on methods for multiple leveled decisions and optimizations. The aimed issues of these methods ranged from a single process to SCM, as well as goals under EWO that is now catching more and more attentions. Concretely, at the production section, these researches usually pay great efforts for mathematic modeling and/or computing methods for complex operations, such as multi-product and/or multi-purpose planning, scheduling and control optimization. However, few researches have pay attentions at and uncover the important issues about states observing, feedback as well as tracing at plant-wide and/or enterprise-wide, where some real difficult problems have been perplexing the effectiveness and practicability of P-MES (MES for process industry) hitherto. With the guidance under thoughts from EWO, the research presented here is aiming at this nearly neglected challenge that including great practical meanings. In this paper, the complex structure and characteristics of production systems as well as decomposition and aggregation relationships between the production system and computer integrated manufacturing systems (CIMS) are analyzed with the view-angle of multi-scale method. With important concepts employed in this paper, including key feedback parameters (KFP) as well as the fusing and the tracing aggregation of the feedback data/information, a kind of innovative model called TRF(tracking, representing and tracing) model and its key theoretical methods are promoted for production states observing and feedback. Analysis upon these key methods and their modeling mechanisms show that TRF model could effectively response to structural dynamics of the complex production material flows, which is essentially difficult for P-MES using the general model. Based on this proposal, TRF model could construct states observing and feedback mechanism of production systems effectively and efficien

关键词： Extended PSE CIMS P-MES TRF dynamic model modeling methods

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An Backbone Guided Extremal Optimization Method for Solving the Hard Maximum Satisfiability Problem

An Backbone Guided Extremal Optimization Method for Solving ...

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2012年计算机应用与系统建模国际会议

作者： Guoqiang Zeng Chongwei Zheng Zhengjiang Zhang Yongzai Lu College of Physics &Electronic Information Engineering Wenzhou University State Key Laboratory of Industrial Control Technology &Institute of Cyber-systems and Control Zhejiang University State Key Laboratory of Industrial Control Technology &Institute of Cyber-systems and Control Zhejiang University

The original Extremal Optimization (EO) algorithm and its modified versions have been successfully applied to a variety of NP-hard optimization problems. However, almost all existing EO-based algorithms have overlooked the inherent structural properties behind the optimization problems, e.g., the backbone information. This paper presents a novel stochastic local search method called Backbone Guided Extremal Optimization (BGEO) to solve the hard maximum satisfiability (MAX-SAT) problem, one of typical NP-hard problems. The key idea behind the proposed method is to incorporate the backbone information into a recent developed optimization algorithm termed extremal optimization (EO) to guide the entire search process approach the optimal solutions. The superiority of BGEO to the reported BE-EEO algorithm without backbone information is demonstrated by the experimental results on the hard Max-SAT instances.

关键词： Backbone, Extremal optimization, Maximum satisfiability problem, Phase transition

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Multiobjective bio-inspired algorithm based on membrane computing

Multiobjective bio-inspired algorithm based on membrane comp...

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2012 International Conference on Computer Science and Information Processing, CSIP 2012

作者： Zhao, Jin-Hui Wang, Ning Zhou, Ping State Key Laboratory of Synthetical Automation for Process Industries Northeastern University Shenyang 110819 China National Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou China Research Centre of Automation Northeastern University Shenyang 110819 Liaoning China

ISBN: (纸本)9781467314114

This paper presents a new multiobjective bio-inspired algorithm based on membrane computing (MOBIAMC). Similar to the single objective bio-inspired algorithm based on membrane computing (BIAMC), MOBIAMC has a netted membrane structure. Most rules are different from those used in BIAMC. The proposed algorithm applies no operation on keeping the uniformity and variety of candidate solution set or non-dominate solution set in the process of approaching to the true Pareto-optimal front due to its parallel and distributed computation. The comparisons with three multiobjective evolutionary algorithms illuminate that the proposed algorithm is simple and computes fast with high precision in approaching to the true Pareto-optimal fronts of eight benchmark multiobjective optimization functions. © 2012 IEEE.

关键词： Multiobjective optimization

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Market-driven profit optimization for tabular chemical reactors with genetic algorithms

Market-driven profit optimization for tabular chemical react...

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2012 IEEE Symposium on Robotics and Applications, ISRA 2012

作者： Qin, Hai-Peng Chen, Peng Lu, Yong-Zai Wu, Zhao-Li Chu, Jian State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 China Department of Automation Shanghai Jiaotong University Shanghai 200023 China Department of Chemical and Biological Engineering Zhejiang University Hangzhou 310027 China

ISBN: (纸本)9781467322072

With the uncertainty in the prices of feedstock, energy and finished products, the profit optimization plays a critical role in making a chemical production enterprise more dynamic and flexible to adapt the changes in global marketplace. This paper presents the development of profit optimization solution with an integration of profit model and model-based genetic algorithm (GA) optimization, and its industrial case study on an ethanolamine (EA) production line. The proposed methodology and solution may also be applied to other chemical manufacturing enterprises. © 2012 IEEE.

关键词： Ethanolamines

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Petri nets model of emergency control system for shipping

Petri nets model of emergency control system for shipping

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IEEE International Conference on Networking, Sensing and control

作者： Juan Zou Yong Wei Weimin Wu State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control University of Zhejiang Hangzhou China

An emergency control system for shipping is an indispensable part of the modern maritime operation system. Petri nets are useful for describing and studying information processing systems that are characterized as being concurrent, distributed parallel and asynchronous. In this paper, a generalized stochastic Petri net with finite capacity and inhibitor arc is exploited to model the emergency control system for shipping. The obtained model is analyzed using the software of PIPE. The analyzed results on modeling time and resource performance show that the obtained model is able to describe well the real physics system and provide some suggestion on improving the performance of the emergency control system for shipping.

关键词： Accidents Analytical models control systems Inhibitors Firing Fires Petri nets

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Social manufacturing cloud service platform for the mass customization in apparel industry

Social manufacturing cloud service platform for the mass cus...

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IEEE International Conference on Service Operations and Logistics, and Informatics, SOLI

作者： Xiuqin Shang Xiwei Liu Gang Xiong Changjian Cheng Yonghong Ma Timo R. Nyberg The State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China Dongguan Research Institute of CASIA Cloud Computing Center Chinese Academy of Sciences Dongguan China Dongguan KAIN Electronic Science & Technology Company Limited Dongguan China BIT Research Centre Aalto University Finland

ISBN: (纸本)9781479905287

Social Manufacturing is a novel manufacturing mode, which can introduced in the apparel industrial and other fashion industries for the mass customization, based on network, 3D fitting mirror and other technologies. In social manufacturing, the consumers are involved fully into the production process by the internet; the manufacturing equipments and the intelligent interactive service terminals (3D fitting mirrors) are online, forming the manufacture and service equipment network; to realize the social manufacturing, a powerful modern logistics system are needed to support the production and E-business. Therefore, the manufacture and service equipment network, mass-customization or mass-rent webs involving a large number of people, and modern logistics network are combined in the social manufacturing platform by using the network, cloud technology, and other technologies. in the near future everyone will need the novel manufacture mode and the traditional enterprises, such as apparel enterprises, will be transformed into the intelligent enterprises which can proactively perceive and respond the personalized demands of the large quantity of consumers, and realize the mass customization by the social manufacture cloud service platform.

关键词： Three-dimensional displays Fitting Mirrors Clothing Production Business

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Customized multiwavelets for planetary gearbox fault detection based on vibration sensor signals

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Sensors (Switzerland) 2013年第1期13卷 1183-1209页

作者： Sun, Hailiang Zi, Yanyang He, Zhengjia Yuan, Jing Wang, Xiaodong Chen, Lue State Key Laboratory for Manufacturing and Systems Engineering Xi'an Jiaotong University Xi'an 710049 Shaanxi China Shanghai Institute of Radio Equipment Shanghai 200090 China Technology Center CNPC Logging Co. Xi'an 710077 Shaanxi China Beijing Aerospace Control Center Beijing 100094 China

Planetary gearboxes exhibit complicated dynamic responses which are more difficult to detect in vibration signals than fixed-axis gear trains because of the special gear transmission structures. Diverse advanced methods have been developed for this challenging task to reduce or avoid unscheduled breakdown and catastrophic accidents. It is feasible to make fault features distinct by using multiwavelet denoising which depends on the feature separation and the threshold denoising. However, standard and fixed multiwavelets are not suitable for accurate fault feature detections because they are usually independent of the measured signals. To overcome this drawback, a method to construct customized multiwavelets based on the redundant symmetric lifting scheme is proposed in this paper. A novel indicator which combines kurtosis and entropy is applied to select the optimal multiwavelets, because kurtosis is sensitive to sharp impulses and entropy is effective for periodic impulses. The improved neighboring coefficients method is introduced into multiwavelet denoising. The vibration signals of a planetary gearbox from a satellite communication antenna on a measurement ship are captured under various motor speeds. The results show the proposed method could accurately detect the incipient pitting faults on two neighboring teeth in the planetary gearbox. © 2013 by the authors;licensee MDPI, Basel, Switzerland.

关键词： Fault detection

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OPTICAL MEA SUREMENTS OF RAT MUSCLE SAMPLES UND ER TREATMENT WITH ETHYLENE GLYCOL AND GLUCOSE

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Journal of Innovative Optical Health Sciences 2013年第2期6卷 36-50页

作者： LUÍS OLIVEIRA MARIAINÊS CARVALHO ELISABETE NOGUEIRA VALERYV.TUCHIN Physics Department-Polytechnic of Porto School of Engineering Rua Dr.Antònio Bernardino de Almeida4314200-072 PortoPortugal University of Porto Rua Dr.Roberto Frias 4200-465 Porto Portugal CIETI-Centre of Innovationin Engineering and Industrial Technology ISEPRua Dr.Antònio Bernardino de Almeida4314200-072 PortoPortugal DEEC/FEUP and INESC TEC University of Porto Rua Dr.Roberto Frias4200-465 PortoPortugal Research-Educational Institute of Optics and Biophotonics Saratov State University 83 Astrakhanskaya Str.Saratov 410012Russia Laboratory of Laser Diagnostics of Technical and Living Systems Institute of Precise Mechanics and Control RASSaratov 410028Russia Optoelectronics and Measurement Techniques Laboratory P.O.Box 4500 University of OuluFIN-90014OuluFinland

With the objective to study the variation of optical properties of rat muscle during optical clearing,we have performed a set of optical measurements from that kind of *** performed were total tr ansmittance,ollimated transmit tance,specular reflec-tance and total *** set of measurements is suficient to determine diffuse reflectance and absorbance of the sample,also necessary to est imate the optical *** the per formed measurements and calculated quantities will be used later in inverse Monte Carlo(IMC)simu-lations to determine the evolution of the optical properties of muscle during treatments with ethylene glycol and *** results obt ained with the measurements already provide some information about the optical c learing treatments applied to the muscle and translate the mechanisms of turning the tissue more transparent and sequence of regimes of optical clearing.

关键词： Tissue optical clearing optical transmittance optical reflectance optical absorbance agent difusivity

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Parametric Mismatch Detection and Isolation in Model Predictive control System 1

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IFAC Proceedings Volumes 2012年第15期45卷 154-159页

作者： Hong Wang Zhihuan Song Lei Xie State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou 310027 Zhejiang China Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 Zhejiang China

Predictor that is built from the plant model, plays an important role in model predictive control system. The predictor should be updated timely to maintain certain calculation accuracy and performance optimality. In order to avoid unnecessary interruptions to production, however, updating should only be done when serious mismatch between the process and model appears. A novel method based on subspace approach is proposed to detect the mismatches using closed-loop operation data. The channels with mismatches in multi input multi output system are isolated. And some combinations of the mismatched parameters that have physical significance can be detected. These results provide useful information for the maintenance of model predictive control system. Simulations on a distillation process demonstrate the efficacy of the methodology.

关键词： parametric mismatch model predictive control subspace approach

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