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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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Passivity-based adaptive integral sliding mode control of uncertain nonlinear systems

Passivity-based adaptive integral sliding mode control of un...

引用

World Congress on Intelligent control and Automation (WCICA)

作者： Zhitao Liu Hongye Su Shuwen Pan State Key Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control University of Zhejiang Hangzhou China

This paper deals with the stabilization problem of uncertain nonlinear systems by passivity-based adaptive integral sliding mode control. The systems may possess both parametric uncertainties and unknown nonlinear functions that may represent modeling errors and external disturbances. The proposed method first combines immersion and invariance adaptive control with integral sliding mode control, which preserves the advantages of the two methods, namely asymptotic stability of adaptive control in the presence of parametric uncertainties, and stronger robustness with integral sliding mode control for both parametric uncertainties and unknown bounded nonlinear functions.

关键词： Uncertainty Adaptive control Nonlinear systems Sliding mode control Damping Equations

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A new heuristic method combined with Lagrangian relaxation algorithm for Hybrid flow shop problem

A new heuristic method combined with Lagrangian relaxation a...

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IEEE International Conference on industrial Engineering and Engineering Management

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

ISBN: (纸本)9781424485017

In this paper, a heuristic algorithm which embedded in the Lagrangian relaxation algorithm is proposed to obtain the near optimal solution to minimize the total weighted complete time in the Hybrid flow shop problem (HFS). Compared with the original precedence capacity relaxation algorithm proposed by Tang et al., our algorithm can produce a better solution in most cases.

关键词： Job shop scheduling Heuristic algorithms Processor scheduling Dynamic programming Parallel machines Mathematical model

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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...

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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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RETRACTED ARTICLE: An integral inequality approach to robust stability of uncertain neutral systems with multiple delays

RETRACTED ARTICLE: An integral inequality approach to robust...

引用

作者： Li, Zu-Xin Gu, Yong National Laboratory of Industrial Control Technology Institute of Cyber-Systems and Control Zhejiang University Hangzhou Zhejiang 310027 China School of Information Engineering Huzhou Teachers College Huzhou Zhejiang 313000 China

ISBN: (纸本)9781424482177

The robust stability of uncertain linear neutral systems with multiple delays is investigated in this paper. For the neutral systems with equal neutral and discrete delays, we established a new integral inequality which is specifically suitable for the stability analysis of such neutral systems. Based on the inequality, the delay-dependent stability criteria with reduced conservatism are derived without the requirements of model transformation and bounding for cross terms. Numerical examples are given to demonstrate the effectiveness of the proposed methods. © 2010 IEEE.

关键词： Stability criteria

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Hysteretic Optimization for Protein Folding on the Lattice

Hysteretic Optimization for Protein Folding on the Lattice

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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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