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Erratum to: An efficient scheme for multi-party quantum state sharing of an arbitrary multi-qubit state with one GHZ channel

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Quantum Information Processing 2012年第2期12卷 853-853页

作者： Min Jiang Daoyi Dong School of Electronics and Information Engineering Soochow University Suzhou China Institute of Cyber-Systems and Control State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou China School of Engineering and Information Technology University of New South Wales at the Australian Defense Force Academy Canberra Australia

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Modeling and Multi-objective Optimization of Refinery Hydrogen Network

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Chinese Journal of Chemical Engineering 2011年第6期19卷 990-998页

作者：焦云强苏宏业廖祖维侯卫锋 State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 China State Key Laboratory of Chemical Engineering Department of Chemical and Biological Engineering Zhejiang University Hangzhou 310027 China Zhejiang ＂Supcon Software Co. Ltd. Hangzhou 310053 China

The demand of hydrogen in oil refinery is increasing as market forces and environmental legislation, so hydrogen network management is becoming increasingly important in refineries. Most studies focused on single-objective optimization problem for the hydrogen network, but few account for the multi-objective optimization problem. This paper presents a novel approach for modeling and multi-objective optimization for hydrogen network in refineries. An improved multi-objective optimization model is proposed based on the concept of superstructure. The optimization includes minimization of operating cost and minimization of investment cost of equipment. The proposed methodology for the multi-objective optimization of hydrogen network takes into account flow rate constraints, pressure constraints, purity constraints, impurity constraints, payback period, etc. The method considers all the feasible connections and subjects this to mixed-integer nonlinear programming （MINLP）. A deterministic optimization method is applied to solve this multi-objective optimization problem. Finally, a real case study is intro-duced to illustrate the applicability of the approach.

关键词： refinery multi-objective optimization hydrogen network mixed integer nonlinear programming

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Structure restricted (PID) controller performance assessment for multi-stage batch processes with tracking and regulatory requirements

Structure restricted (PID) controller performance assessment...

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International Symposium on Advanced control of industrial Processes (ADCONIP)

作者： Ruowei Fu Lei Xie Zhihuan Song State Key Laboratory of Industrial Control Technology Institute of Industrial Process Control Department of Control Science and Technology University of Zhejiang Hangzhou Zhejiang China State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control University of Zhejiang Hangzhou China

A new control performance assessment method based on a structured residual for multi-stage batch processes is presented. After separating the process into different stages according to reference signal dynamics, based on specific tracking and regulatory requirements of different stage, a structured residual focusing on deterministic part of output error with different weights on each stage is minimized to form the performance benchmark. In this way, it explores the equilibrium control effect in tracking and regulatory stages of batch processes in the whole batch sense. The best control performance with respect to stage balance and the overall optimal controller settings are searched using Newton's method. The application to an exothermic chemical batch reactor shows its effectiveness and feasibility.

关键词： Benchmark testing Batch production systems Process control Stochastic processes Optimization Equations Inductors

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A constructive procedure based on dynamic scaling for adaptive control of nonlinearly parameterized nonlinear systems

A constructive procedure based on dynamic scaling for adapti...

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作者： Liu, Xiangbin Ortega, Romeo Su, Hongye Chu, Jian Advanced Control Systems Laboratory School of Electronics and Information Engineering Beijing Jiaotong University Beijing 100044 China Laboratoire des Signaux et Systèmes CNRS SUPELEC 91192 Gif-sur-Yvette France State Key Lab. of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 China

ISBN: (纸本)9783902661937

A new framework to design immersion and invariance adaptive controllers for nonlinearly parameterized, nonlinear systems was recently proposed by the authors. The key step is the construction of a monotone mapping, via a suitable selection of a controller tuning function, which has to satisfy some integrability conditions|this translates into the need to solve a partial differential equation (PDE). In this paper this result is extended providing some answers to the questions of characterization of "monotonizable" systems and solvability of the PDE. First, adding to the design a nonlinear dynamic scaling, we obviate the need to solve the PDE. Second, for the case of factorizable nonlinearities, the following results are established. (i) It is shown that the monotonicity condition is satisfied if a linear matrix inequality is feasible. (ii) Directly verifiable involutivity conditions that ensure the solution of the PDE are presented. (iii) An explicit formula for the required tuning function is given, provided the regressor matrix satisfies some rank conditions. Hence, adding a dynamic scaling, this yields a constructive solution to the problem. © 2011 IFAC.

关键词： Nonlinear systems

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kNN-RVM lazy learning approach for soft-sensing modeling of fed-batch processes

kNN-RVM lazy learning approach for soft-sensing modeling of ...

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作者： Ji, Jun Wang, Hai-Qing Chen, Kun Yang, Dian-Cai State Key Laboratory of Industrial Control Technology Institute of Industrial Process Control Zhejiang University Hangzhou 310027 China MESNAC National Tire Process and Control Engineering Research Center Qingdao China

Fed-batch processes are inherently difficult to model owing to non-steady-state operation, small-sample condition, instinct time-variation and batch-to-batch variation caused by drifting. Furthermore, when the process switches to different operation phrases, global learning modeling methods would suffer poor performance due to the negative impact of overdue training samples. In this paper, a k nearest neighbor relevance vector machine (kNN-RVM) based lazy learning method is proposed to model the fed-batch processes to soft-sense the corresponding production indices. A recursive algorithm is developed to effectively obtain the kernel matrices used by previous kNN step and following modeling process. Simulative soft-sensors of penicillin production process and rubber mixing process are implemented to valid the proposed method. Comparative results indict that proposed method has better precision and much lower computational complexity than relevance vector machine (RVM) on soft-sensing modeling of fed-batch processes. © 2011 Zhejiang University.

关键词： Nearest neighbor search

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Output feedback adaptive robust learning control of a class of nonlinear systems with periodic disturbances

Output feedback adaptive robust learning control of a class ...

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作者： Liu, Xiangbin Hou, Zhongsheng Yao, Bin Su, Hongye Sun, Mingxuan Advanced Control Systems Laboratory School of Electronics and Information Engineering Beijing Jiaotong University Beijing 100044 China School of Mechanical Engineering Purdue University West Lafayette IN 47907 United States State Key Lab. of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 China College of Information Engineering Zhejiang University of Technology Hangzhou 310032 China

ISBN: (纸本)9783902661937

In this paper, a discontinuous projection-based output feedback adaptive robust learning control (OARLC) scheme is constructed for a class of nonlinear systems in a semi-strict feedback form by incorporating an observer and a dynamic normalization signal. Since only output signal is available for measurement, an observer is firstly designed to provide exponentially convergent estimates of the unmeasurable states. Using certain known basis functions to capture the characteristics of unknown general periodic disturbances, the discontinuous projection type adaptation law can then be used to tune the amplitudes of those basis functions on-line to recover the unknown general periodic disturbances asymptotically. The estimation errors due to the unknown initial states, uncompensated disturbances, and the uncertain nonlinearities are also effectively dealt with via certain robust feedback at each step of the proposed OARLC backstepping design. The resulting controller achieves a guaranteed transient and a prescribed final tracking accuracy for output tracking performance. In addition, when the general periodic disturbances fall within the approximation ranges of the periodic basis functions, asymptotic output tracking performance is achieved as well. © 2011 IFAC.

关键词： Feedback

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control via Interconnection and Damping Assignment of Linear Time–Invariant systems is Equivalent to Stabilizability

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IFAC Proceedings Volumes 2011年第1期44卷 7358-7362页

作者： Zhitao Liu Romeo Ortega Hongye Su State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 P.R. China Laboratoire des Signaux et Systemes CNRS-Supelec 91192 Gif-sur-Yvette France State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 P.R.China

Abstract In this brief note it is shown that the linear matrix inequalities that result from the application of interconnection and damping assignment passivity-based control to general linear time-invariant systems are feasible if and only if the system is stabilizable. A very simple proof of this fact is given that, in contrast to previous results, does not require the assumption that the system has no uncontrollable pole at s = 0.

关键词： Passivity-based control IDA-PBC linear matrix inequalities stabilization

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Bayesian statistical monitoring of complex semiconductor manufacturing batch processes

Bayesian statistical monitoring of complex semiconductor man...

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作者： Ge, Zhiqiang Zheng, Junhua Song, Zhihuan Dai, Huaping State Key Laboratory of Industrial Control Technology Institute of Industrial Process Control Zhejiang University Hangzhou 310027 Zhejiang China Zhejiang Titan Design and Engineering Co. LTD. Hangzhou Zhejiang China

ISBN: (纸本)9783902661937

Most current batch process monitoring methods have been implemented under a single operation mode, thus the batch uncertainty is assumed to be caused by batch-to-batch variations. However, due to the change of market requirements, the batch operation mode should also be changed frequently, especially in the semiconductor manufacturing process. This paper proposes an efficient method for monitoring those batch processes. First, the data is partitioned into multiple clusters, which correspond to different operation modes. Second, a sub-statistical model is built for each operation mode. Then the Bayesian inference strategy is introduced for result combination in different operation modes. The monitoring performance of the proposed method is evaluated by a real semiconductor process application case study. © 2011 IFAC.

关键词： Batch data processing

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Design and implementation of an in vivo 3-D fluorescent imaging system

Design and implementation of an in vivo 3-D fluorescent imag...

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International Conference on Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC)

作者： Ying Wang Wei Jin Qinhan Jin Ying Mu Research Center of Analytical Instrumentation Institute of Cyber-Systems and Control State Key Laboratory of Industrial Control Technology University of Zhejiang Hangzhou China

ISBN: (纸本)9781457705359

Fluorescence has been proved to be a versatile and useful tool for animal in vivo imaging. It has been used widely in biomedical research and drug discoveries. With the recent development of the technology and instruments, the 2-D imaging system has been developed to a 3-D imaging in vivo. 3-D imaging will provide researchers detailed spatial information of the targets and its relationship with animal organs. This paper introduces a new design of an in vivo 3-D multispectral fluorescent imaging system, including the design of hardware platform and the imaging algorithm based on binocular stereo vision theory. The working principle of the system, structure of the hardware and the system diagram are introduced. The algorithm of binocular stereo vision is utilized to complete camera calibration, stereo rectification, and 3D coordinates computing based on OpenCV.

关键词： Charge coupled devices Light emitting diodes In vivo Stereo vision Fluorescence Algorithm design and analysis

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Real-Time Detection of Loop-Mediated Isothermal Amplification Reaction on Microfluidic Chip

Real-Time Detection of Loop-Mediated Isothermal Amplificatio...

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International Conference on Bioinformatics and Biomedical Engineering (ICBBE)

作者： Ling-Yan Xu Wei Jin Qiang-Yuan Zhu Wen-Xiu Yang Qing-Qing Wu Qin-Han Jin Ying Mu Research Center for Analytical instrumentation Institute of Cyber-Systems and Control State Key Laboratory of Industrial Control Technology University of Zhejiang Hangzhou China

A device have been developed for monitoring the process of DNA loop-mediated isothermal amplification (LAMP) reaction through absorbance measurement. The LAMP reaction has a high efficiency and can synthesize large amounts of DNA in a short period of time. As its by-product pyrophosphate ions can be combined with magnesium ions, forming a white precipitate of magnesium pyrophosphate. The change of sample absorbance can be detected on line by an optic sensor. We can not only determine whether the LAMP reaction happened or not by the difference of absorbance between the start point and the end point but also monitor the dynamics process of LAMP reaction.

关键词： Optical fiber sensors Optical fibers Microfluidics Real time systems Monitoring DNA Isothermal processes

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