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International Conference on Computational Intelligence and Software Engineering (CiSE)

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

Hysteretic optimization (HO) is a recently proposed optimization method based on the well-known demagnetization process of magnetic materials in physics. In this study, we apply HO to the protein folding problem, an attractive problem in computational biology, by generalizing the external field. The experimental results with benchmark problems show the proposed method is competitive with other popular algorithms, such as extremal optimization.

关键词： Proteins Optimization Lattices Computational modeling Glass Amino acids Algorithm design and analysis

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Finding Ground states of Sherrington-Kirkpatrick Spin Glass by Modified Extremal Optimization

Finding Ground States of Sherrington-Kirkpatrick Spin Glass ...

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International Conference on Computational Intelligence and Software Engineering (CiSE)

作者： Guo-Qiang Zeng Yong-Zai Lu Wei-Jie Mao State Key Laboratory of Industrial Control Technology& Institute of Cyber-Systems and Control University of Zhejiang Hangzhou China

Finding the ground states of Sherrington-Kirkpatrick (SK) spin glass, the mean-filed spin glass model with strongly connected variables, is well known as a typical NP-hard problem. This paper presents a modified extremal optimization (EO) framework to approximate its grounds states. The basic idea behind the proposed framework is to generalize the evolutionary probability distribution of the original EO algorithm. The experimental results show that the modified EO algorithms provide better performances than the original one and further support the observation that power-law is not the only good evolutionary distribution in EO, others such as exponential and hybrid distributions may be better choices.

关键词： Glass Optimization Probability distribution Stationary state Heuristic algorithms Approximation algorithms Algorithm design and analysis

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Extremal optimization for the 3D protein folding based on the lattice model

Extremal optimization for the 3D protein folding based on th...

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International Conference on Information Science and Engineering (ICISE)

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

Much of the previous work in the protein field focused on the 2D protein folding due to its simplicity but ignored the 3D protein folding problem. In this paper, based on the work of 2D protein folding problem by primary extremal optimization (EO) algorithm, we study the more complicated 3D protein folding problem with its variation (τ-EO) for the first time. The parameter τ is set as a random value near a constant in each iteration. For the protein with not too long sequence, the experimental results show that the proposed EO algorithm is very efficient.

关键词： Proteins Three dimensional displays Solid modeling Optimization Lattices Algorithm design and analysis Computational modeling

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A Novel Stochastic Method with Modified Extremal Optimization and Nearest Neighbor Search for Hard Combinatorial Problems

A Novel Stochastic Method with Modified Extremal Optimizatio...

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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： Guo-Qiang Zeng Yong-Zai Lu Wei-Jie Mao State Key Laboratory of Industrial Control Technology& Institute of Cyber-Systems and Control Zhejiang University Hangzhou 310027 China

The combinatorial optimization occurs in many real-world problems including the fields of engineering, physics and economics. It has been recognized that some problems with highly degenerate states are difficult to solve in terms of many existing optimization algorithms. This paper proposes a novel stochastic method with modified extremal optimization (EO) and nearest neighbor search to deal with these problems. It starts from making use of the recent discovered statistical property to generate the initial configurations by the nearest neighbor search and then further explores the complex configuration spaces by a modified EO approach that applies more general probability distributions-based evolution mechanism. The experimental results with some hard instances of traveling salesman problem (TSP), a popular benchmark for combinatorial optimization problems demonstrate that the proposed method may provide better performance than other physics-inspired algorithms such as simulated annealing, EO and self-organized algorithm.

关键词： Artificial neural networks Optimization Semiconductor optical amplifiers Probability distribution Cities and towns Heuristic algorithms Physics

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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...

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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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A nussbaum technique for unknown time-varying control direction with switching sign

A nussbaum technique for unknown time-varying control direct...

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作者： Yang, Zaiyue State Key Laboratory of Industrial Control Technology Institute of Industrial Process Control Zhejiang University China Dept. of Applied Mathematics Hong Kong Polytechnic University Hong Kong

ISBN: (纸本)9787894631046

In this paper, a robust control approach is proposed for a class of nonlinear systems that contain both nonlinear dynamics uncertainty and an unknown time-varying control direction, which is the multiplier of the control term. In particular, the unknown control direction is allowed to switch its sign for an unlimited number of times. A new Nussbaum gain is designed and integrated with robust controller to tackle the sign-switching unknown control direction. It is proven that the proposed control approach can yield asymptotic convergence and guarantee the boundedness of the closed-loop signals.

关键词： Robust control

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Congestion avoidance, detection and alleviation in wireless sensor networks

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Journal of Zhejiang University-Science C(Computers and Electronics) 2010年第1期11卷 63-73页

作者： Wei-wei FANG Ji-ming CHEN Lei SHU Tian-shu CHU De-pei QIAN Sino-German Joint Software Institute School of Computer Science Beihang University Beijing 100191 China State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou 31002 7 China Digital Enterprise Research Institute National University of Ireland Galway Ireland

Congestion in wireless sensor networks (WSNs) not only causes severe information loss but also leads to excessive energy consumption. To address this problem, a novel scheme for congestion avoidance, detection and alleviation (CADA) in WSNs is proposed in this paper. By exploiting data characteristics, a small number of representative nodes are chosen from those in the event area as data sources, so that the source traffic can be suppressed proactively to avoid potential congestion. Once congestion occurs inevitably due to traffic mergence, it will be detected in a timely way by the hotspot node based on a combination of buffer occupancy and channel utilization. Congestion is then alleviated reactively by either dynamic traffic multiplexing or source rate regulation in accordance with the specific hotspot scenarios. Extensive simulation results under typical congestion scenarios are presented to illuminate the distinguished performance of the proposed scheme.

关键词： Wireless sensor network （WSN） Congestion control Correlation Traffic multiplexing Rate regulation

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Statistical modeling angular dynamics for model-scale helicopter

Statistical modeling angular dynamics for model-scale helico...

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International Conference on control and Automation (ICCA)

作者： Fei, Liu Ping, Li Shirong, Liu Institute of Automation Hangzhou Dianzi University Zhejiang 310018 China State Key Laboratory of Industrial Control Technology Zhejiang University Hangzhou 310027 China

ISBN: (纸本)9781424451951

In this paper, the procedure and results of modeling angular dynamics of a miniature helicopter in hover is presented using both mechanism reasoning and information from flight test data. The goal is to derive an angular dynamical model that is simple and sufficient accurate to be used for advance flight control. The initial model structure is derived from mechanism reasoning based on a strong simplifying assumption. Afterwards, backward stepwise regression is carried out to refine the model structure and estimate the coefficients. The accuracy of the developed model is examined by comprehensive comparison between model response and experimental data. If the tests fail to validate the model's reliability, a less restrictive assumption would be proposed according to the analysis of the test result and the whole modeling procedure would be carried out again until a satisfactory model is derived. This systematic procedure is proved to be effective in modeling MUH's angular dynamics. © 2010 IEEE.

关键词： Reliability analysis

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