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检索条件"机构=State Key Laboratory of Industrial Control Technology& Institute of Cyber-Systems and Control"

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The investigation on research opportunities for the applications of the Internet of Things in semiconductor wafer fabrication

The investigation on research opportunities for the applicat...

引用

IEEE International Conference on industrial Engineering and Engineering Management

作者： Yong-Zai Lu State Key Laboratory of Industrial Control Technology &Institute of Cyber-Systems and Control University of Zhejiang Hangzhou China

Based on the state-of-the-art technologies of the Internet of Things (IOT) and Radio Frequency Identifier (RFID) this paper introduces the concepts of IOT/RFID and investigates its open research opportunity and potent... 详细信息

ISBN: (纸本)9781424485017

关键词： Radiofrequency identification Internet Manufacturing Real time systems Production Optimization Inspection

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Recursive closed-loop subspace identification based on predictor Markov parameters

Recursive closed-loop subspace identification based on predi...

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Congress on Image and Signal Processing, CISP

作者： Youfeng Li Lei Xie Hongye Su Jian Chu State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control University of Zhejiang Hangzhou China

Recursive subspace identification methods have been an active area of research in recent years. In this paper, a recursive version of a closed-loop subspace method is proposed for on-line system modeling. The algorithm is based on the predictor Markov parameters and is prone to a very simple and computationally attractive implementation. A numerical example shows the effectiveness of the proposed algorithm on the problem of closed-loop recursive identification.

关键词： Signal processing algorithms Markov processes Prediction algorithms Technological innovation Estimation Monte Carlo methods Approximation algorithms

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Working conditions estimation and intelligent decision-making system based on stratum identification

Working conditions estimation and intelligent decision-makin...

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IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics

作者： Junjie Jiang Xiuliang Li Hongye Su National Key Laboratory of Industrial Control Technology Institute of Cyber-systems and Control University of Zhejiang Zhejiang China

In this paper, we focus on two questions common in tunneling project:(i) how to identify the unmeasured stratum; (ii) how to make the project safe under the uncertain condition automatically. The basic ideal of the presented approach is to establish a soil identification model with statistical information of geological site investigation and then to update the model with Field Penetration Index (FPI) and Torque Penetration Index (TPI) extracted from shield machine tunneling process data. Based on this soft-sensor model, project risk can be evaluated and controlled with process monitoring techniques, work experience and other measures. Belief rule-base inference methodology using the evidential reasoning (RIMER) approach is introduced to establish this system, as the following advantages which make it possible to provide a more accurate result than traditional IF-THEN rule-base method: (i) a new rule base knowledge representation scheme which is designed with belief degrees embedded in all possible consequents of a rule; (ii) the inference in such a rule base is implemented using the evidential reasoning (ER) approach. A numerical example is provided to illustrate the potential applications of the proposed methodology.

关键词： Soil Geology Tunneling Data models Joints Probability Indexes

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A novel strategy to prepare ZnO/PbS heterostructured functional nanocomposite utilizing the surface adsorption property of ZnO nanosheets

A novel strategy to prepare ZnO/PbS heterostructured functio...

引用

作者： Ma, Xingfa Wang, Yanqin Gao, Mingjun Xu, Huizhong Li, Guang School of Environmental and Material Engineering Center of Advanced Functional Materials Yantai University Qingquan Road Yantai 264005 China State Key Laboratory of Silicon Materials Zhejiang University Hangzhou 310027 China National Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 China

To avoid the secondary pollution in the regeneration procedure of conventional water treatment methods with absorbents and develop new functional nanocomposite utilizing the surface adsorption property of ZnO, the ZnO nanosheets prepared via a hydrothermal approach were used to adsorb Pb 2+ in aqueous solution and then hydrothermally treated in aqueous solution containing sulfur source. The products at different stages were characterized with scanning electron micrographs (SEM), energy disperse spectroscopy (EDS), transmission electron microscopy (TEM), selected area electron diffraction (ASED), X-ray diffraction (XRD), Fourier transform infrared spectroscopy spectra (FTIR), photoluminescence (PL) spectra and atomic absorption spectrophotometer. The results proved that the ZnO nanosheets had sorption capacity for Pb2+ due to the role of surface hydroxy groups of ZnO. Enhanced diffraction peaks of PbS were observed after the ZnO adsorbing Pb2+ hydrothermally treated. TEM result showed that the ZnO/PbS presents in a nanocomposite heterostructure, in which PbS nanoparticles in a form of single crystal structure were attached to the surface of ZnO proved by selected area electron diffraction. PL spectra indicated that the photoluminescence property in a wide light range was dramatically enhanced and some new peaks clearly appeared. Based on these preliminary experimental results, a simple and environment-friendly strategy to remove toxic heavy metal ions in aqueous solution was proposed. Utilizing the doping effects of nanostructured ZnO, a feasible method to produce the ZnO/PbS nanocomposite with wide range light-responsing property was introduced while the efficient removal of toxic heavy metal ions in aqueous solution was carried out. These resulted multifunctional materials have potential to apply to photocatalytic fields, energy-conversion devices and light-emitting/detecting devices. © 2010 Elsevier B.V.

关键词： Surface properties

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Dynamic material balancing: A simplified least squares formulation

Dynamic material balancing: A simplified least squares formu...

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International Conference on Methods and Models in Automation and Robotics (MMAR)

作者： Hua Xu Gang Rong Yiping Feng Department of control science and engineering State key laboratory of industrial control technology Institute of cyber-systems and control Hangzhou P.R. China

In this work, we propose a simplified least squares formulation (SLSF) for dynamic material balancing in chemical processes, which are often described by differential-algebraic equations. We compare the SLSF with traditional techniques, such as steady state data reconciliation (SSDR) and Kalman filter (KF). We also modify the SLSF when its assumptions can't be totally satisfied in some practical settings. Using chemical systems examples, we demonstrate that the SLSF can well deal with the practical dynamic material balancing problems.

关键词： Materials Mathematical model Equations Covariance matrix Kalman filters Noise Vectors

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Nonlinear Model Predictive control with the Integration of Support Vector Machine and Extremal optimization

Nonlinear Model Predictive Control with the Integration of S...

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The 8th World Congress on Intelligent control and Automation(第八届智能控制与自动化世界大会 WCICA 2010)

作者： Peng Chen Yong-Zai Lu Department of Automation Shanghai Jiaotong University Shanghai 200240 P.R.China State Key Laboratory of Industrial Control Technology & Institute of Cyber-Systems and Control Zheji

In nonlinear model predictive control (NMPC), the system performance is greatly dependent upon the accuracy of the predictive model and the efficiency of the online optimization algorithm. In this paper, a novel NMPC scheme with the integration of Support Vector Machine (SVM) and recently proposed general-purpose heuristic “Extremal Optimization (EO)” is presented. With the superior features of self-organized criticality (SOC), non-equilibrium dynamics, coevolutions in statistical mechanics and ecosystems respectively, a carefully designed EO based on “horizon based mutation strategy” is used as an online solver to obtain optimal future control inputs of NMPC, in which a multi-step-ahead SVM predictive model is employed. Furthermore, simulation studies on a typical nonlinear system are given to illustrate the effectiveness of the proposed control scheme.

关键词： Predictive models Optimization Support vector machines Predictive control Computational modeling Biological system modeling

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Robust ℋ221E;control of networked control systems with access constraints and packet dropouts

Robust ℋ221E;control of networked control systems with acce...

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International Conference on Green Circuits and systems (ICGCS)

作者： Dongxiao Wu Jun Wu Sheng Chen State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control University of Zhejiang Hangzhou China School of Electronics and Computer Science University of Southampton Southampton UK

We consider a class of networked control systems (NCSs) where the plant has time-varying norm-bounded parameter uncertainties, the network only provides a limited number of simultaneous accesses for the sensors and actuators, and the packet dropouts occur randomly in the network. For this class of NCSs with uncertainties and access constraints as well as packet dropouts, we derive sufficient conditions in the form of linear matrix inequalities that guarantee robust stochastic stabilisation and synthesis of ℋ ∞ controller. An example is provided to illustrate our proposed method.

关键词： Robustness Networked control systems Time varying systems Uncertain systems Sensor systems Actuators Uncertainty Sufficient conditions Linear matrix inequalities Robust control

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Mining Fuzzy Association Rules in Data Streams

Mining Fuzzy Association Rules in Data Streams

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2010 2nd International Conference on Computer Engineering and technology(2010年第二届计算机工程与技术国际会议 ICCET 2010)

作者： Peng Chen Hongye Su Lichao Guo Yu Qu State Key Lab. of Industrial Control Technology Institute of Cyber-Systems and ControlZhejiang UniversityHangzhouP. R. China

ISBN: (纸本)9781424463473;9781424463497;9781424463503

Many algorithms have been proposed for mining fuzzy association rules in static datasets with quantitative attributes. However,there is few study on mining fuzzy association rules in data streams. This paper presents an algorithm FFI_Stream for fuzzy association rules mining in data streams. Efficient techniques are presented to find fuzzy association rules in data streams using time based sliding window model. The clustering technique is used to find the fuzzy sets. Membership Function Bias measure (MFB_measure) is introduced to evaluate the membership function in each sliding window. Selectively Updating Mechanism (SUM) and Projected Summaries (PS) are proposed to update the fuzzy sets dynamically. Then, experiments are carried out on both synthetic and real life datasets. The results show that the algorithm is effective and efficient.

关键词： Fuzzy association rules mining:data stream change detection:membership function:sliding window

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Parameter-dependent controller design for electro-hydraulic servo system

Parameter-dependent controller design for electro-hydraulic ...

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International Conference on Intelligent control and Information Processing (ICICIP)

作者： Falu Weng Weijie Mao Bo Liang Jiangxi University of Science and Technology Jiangxi China State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control University of Zhejiang Hangzhou China AQSIQ Information center BeiJing China

This paper is concerned with the problem of robust controller design for electro-hydraulic servo systems driven by double-rod hydraulic actuators. Firstly, by introducing a linear varying parameter, an electro hydraulic servo system is described as a linear parameter varying(LPV) model. Secondly, based on this LPV model and a parameter-dependent Lyapunov approach, two parameter-dependent controllers are established for the stabilization and tracking problems, respectively. The obtained controllers are simple and their gains can vary with the parameter measured online. Finally, the numerical simulations demonstrate the satisfactory performance of the proposed controllers.

关键词： Robustness Servomotors Symmetric matrices Valves Mathematical model Adaptation model Numerical models

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Robust control for Discrete-Time Networked control systems

Robust Control for Discrete-Time Networked Control Systems

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The 8th World Congress on Intelligent control and Automation(第八届智能控制与自动化世界大会 WCICA 2010)

作者： Dongxiao Wu Jun Wu Sheng Chen State Key Laboratory of Industrial Control Technology　Institute of Cyber-System and Control　Zhejiang School of Electronics and Computer Science University of Southampton Highfield Southampton SO17 1BJ

This paper considers analysis and synthesis of discrete-time networked control systems (NCSs), where the plant has additive uncertainty and the controller is updated with the sensor information at stochastic time intervals. It is shown that the problem is linked to robust control of linear discrete-time stochastic systems and a new small gain theorem is established. Based on this result, sufficient conditions are given for ensuring mean square stability of the NCS, and the genetic algorithm is utilised to design the controller of the NCS based on a linear matrix inequality technique.

关键词： Stochastic systems Networked control systems Delay Stability analysis Robust control Observers Additives

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