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Article
Publication date: 12 October 2012

Yi Lin, Hejin Xiong and Mianyun Chen

184

Abstract

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Kybernetes, vol. 41 no. 9
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 1 February 2004

Shuhong Zhang and Mianyun Chen

The system with partial unknown structure, parameters and characteristics is called a grey system. Grey system theory is a newly developed theory to deal with the problem of…

263

Abstract

The system with partial unknown structure, parameters and characteristics is called a grey system. Grey system theory is a newly developed theory to deal with the problem of uncertainties in the case with “poor” information and has widely been used in many fields. The grey prediction SCGM(1,1) model has been used widely. In this paper, the characteristics of SCGM(1,1) model are systematically studied. Some new existing forms of SCGM(1,1) are derived including exponential form, α, β parameter form, scale form and recursive form. The parameter range suitable for SCGM(1,1) modeling has been studied based on strict proof. The prohibited area and the area not suitable or suitable for modeling of SCGM(1,1) model are divided clearly according to the developing coefficient a. Then, the discrete form of developing coefficient a is given. Based on the discrete form of developing coefficient a, a new grey modeling method avoiding complex matrix calculation is presented.

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Kybernetes, vol. 33 no. 2
Type: Research Article
ISSN: 0368-492X

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Article
Publication date: 15 June 2010

Yongbing Chen, Yexin Song and Mianyun Chen

The purpose of this paper is to identify the Nomoto ship model parameters accurately, in order to produce a very close match between the predictions based on the model and the…

520

Abstract

Purpose

The purpose of this paper is to identify the Nomoto ship model parameters accurately, in order to produce a very close match between the predictions based on the model and the full‐scale trials.

Design/methodology/approach

Various ship maneuvering mathematical models have been used when describing the ship dynamics behavior. The Nomoto ship model is a class of simplified hydrodynamic derivative type models which are the most widely used, accepted and perhaps well developed. To determine the model parameters accurately, particle swarm optimization (PSO) is chosen as an evolution algorithm in this paper. This arithmetic can guarantee the convergence and global optimization ability, and avoid sinking into a local optimal solution.

Findings

The process of PSO for identifying the Nomoto ship model parameters is given.

Research limitations/implications

Availability of the full‐scale trial data are the main limitations.

Practical implications

The ship model parameters provide very useful advice in ship's autopilot process.

Originality/value

The paper presents a new parameter identification method for the second‐order Nomoto ship model based on PSO.

Details

Kybernetes, vol. 39 no. 6
Type: Research Article
ISSN: 0368-492X

Keywords

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Article
Publication date: 15 June 2010

Van‐Tsai Liu, Chien‐Hung Liu, Hau‐Wei Li, Chieh‐Li Chen, Chun‐Liang Lin and Yu‐Chen Lin

The purpose of this paper is to develop the multi‐degree‐of‐freedom measurement system to test, verify, and control the nano‐measuring machine.

153

Abstract

Purpose

The purpose of this paper is to develop the multi‐degree‐of‐freedom measurement system to test, verify, and control the nano‐measuring machine.

Design/methodology/approach

A generic differential model approach is constructed to numerically describe the hysteresis effects of piezoelectric actuators. Based on the generic differential model, a feedforward compensator with a proportional integral (PI) type controller is designed to compensate for the hysteresis nonlinearity of a piezoelectric actuated three degree‐of‐freedom coplanar nanostage which can provide high‐precision applications.

Findings

The Z‐tilts (z, pitch, and roll motion) error compensation stage of the nano‐measuring machine is accomplished. Moreover, a high‐resolution laser interferometer is used to measure position accurately.

Originality/value

This paper contributes to develop a tracking control design method for the piezoelectric motion platform which combines a closed‐loop feedforward compensator with a PI type controller.

Details

Kybernetes, vol. 39 no. 6
Type: Research Article
ISSN: 0368-492X

Keywords

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Article
Publication date: 12 October 2012

Shulin Liu, Rui Ma, Rui Cong, Hui Wang and Haifeng Zhao

Embedding dimension determination in phase space reconstruction is difficult. The purpose of this paper is to present a new approach for embedding dimension determination based on…

284

Abstract

Purpose

Embedding dimension determination in phase space reconstruction is difficult. The purpose of this paper is to present a new approach for embedding dimension determination based on empirical mode, showing that embedding dimensions for phase space reconstruction could be easily determined according to the number of intrinsic mode functions decomposed by empirical mode decomposition.

Design/methodology/approach

Through the relation analysis of intrinsic mode functions and embedding dimensions, the approach for embedding dimension determination by the number of intrinsic mode functions is presented. First, a time series is decomposed into several intrinsic mode functions. Second, correlation analysis between intrinsic mode functions and original signals is investigated, and then false intrinsic mode functions could be eliminated by the analysis of correlation coefficient thresholds, which makes the embedding dimension precise. Finally, the method presented is applied to the Lorenz system, Chen's system, and the Duffing equation. Simulation results prove this method is feasible.

Findings

A new approach for embedding dimension determination based on empirical mode decomposition is presented. Compared with G‐P algorithms, this new method is effective and decreases computational complexity.

Research limitations/implications

This method provides an effective qualitative criterion to the selection of embedding dimensions in phase space reconstruction.

Practical implications

This method could be used to determine embedding dimensions of phase space reconstruction and degree‐of‐freedom of nonlinear dynamical systems.

Originality/value

The paper proposes a new method of embedding dimension determination in phase space reconstruction.

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Article
Publication date: 15 June 2010

Zhijie Chen, Weizhen Chen and Qile Chen

The purpose of this paper is to propose a new group decision‐making approach, which can only use simple mathematical calculations to perform a group decision‐making task.

998

Abstract

Purpose

The purpose of this paper is to propose a new group decision‐making approach, which can only use simple mathematical calculations to perform a group decision‐making task.

Design/methodology/approach

The large column and large row (LCLR) method is designed and applied.

Findings

The paper finds four propositions to support LCLR methods to be a simple and effectual means for group decision making.

Research limitations/implications

The aggregated matrix constructed in LCLR methods should be generated from non‐contradictory circles.

Practical implications

Effective group decision‐making results can be obtained by easily used methods, not necessarily by using complex mathematics technology to conduct the task.

Originality/value

The new approach based on LCLR methods proposed in this paper may be one of the most easily used and effective means for group decision making.

Details

Kybernetes, vol. 39 no. 6
Type: Research Article
ISSN: 0368-492X

Keywords

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Article
Publication date: 1 February 2004

Tong Xiaojun, Chen Mianyun and Li Zhijun

Based on ideal absolute errors and relative errors, a new grey model‐GMp(1,1) model is presented. The existence problem of its solution is also solved based on a few conditions…

162

Abstract

Based on ideal absolute errors and relative errors, a new grey model‐GMp(1,1) model is presented. The existence problem of its solution is also solved based on a few conditions. Then, MGMp(1,n) model is presented. These optimized models GMp(1,n) and MGMp(1,n) have good anti‐noise property to absolute and relative errors. Examples illustrate that they have very good fitting and forecasting results.

Details

Kybernetes, vol. 33 no. 2
Type: Research Article
ISSN: 0368-492X

Keywords

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Article
Publication date: 14 June 2011

Dejun Chen, Zude Zhou, Yingzhe Ma and D.T. Pham

The purpose of this paper is to create a platform framework based on agent for virtual enterprise (VE) with the characteristic of supply chain by adopting multi‐agent technology.

779

Abstract

Purpose

The purpose of this paper is to create a platform framework based on agent for virtual enterprise (VE) with the characteristic of supply chain by adopting multi‐agent technology.

Design/methodology/approach

According to the system hierarchy theory and the features of VE with the characteristic of supply chain, the conception and organization structure of supply chain‐oriented VE are proposed. Combined with characters of multi‐agent, a platform framework based on agent for VE with the characteristic of supply chain is created. Aiming at complexity of net node of running platform framework, two‐layer architecture mode, which are information alternation layer and basic function layer inside net node based on agent, are designed. The modes are proved to be reasonable in the management of the system and networks resources.

Findings

The theory base of realization of the VE based on agent with the characteristic of supply chain is found.

Research limitations/implications

The reasonable basic function design of various agents are main limitations.

Practical implications

The paper presents a very useful tool for the operation and management of VE.

Originality/value

A new approach and scheme for VE with the characteristic of supply chain is presented. This paper is aimed at researchers and engineers.

Details

Kybernetes, vol. 40 no. 5/6
Type: Research Article
ISSN: 0368-492X

Keywords

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Article
Publication date: 15 June 2010

Jiang Guo, Yajin Liu, Xianglian Xu and Qijuan Chen

The purpose of this paper is to obtain the characteristic parameters of dynamic trend for hydro turbine governors, and take these as the inputs of the neural network to realize…

360

Abstract

Purpose

The purpose of this paper is to obtain the characteristic parameters of dynamic trend for hydro turbine governors, and take these as the inputs of the neural network to realize the diagnosis of the system.

Design/methodology/approach

Computer simulation technique has become an important tool in the science research and development. Because of the different degree defaults of the traditional modeling method, a distributed bond graph modeling (BGD) method is presented in this paper. Fault diagnosis and identification have been widely developed in recent years, while many kinds of diagnosis methods have been used in this area. Since it is difficult to get the characteristic parameters of dynamic trend, a new methodology is proposed which integrates BGD and neural network. It gets the characteristic parameters by simulation to the system, and takes these as the inputs of the neural network to realize the diagnosis of the system.

Findings

The paper presents the need for application of two models – conventional procedure and bond graph model approaches.

Practical implications

The paper is a very useful diagnosis tool for operators.

Originality/value

A new methodology is proposed which integrates BGD and neural network. The paper is aimed at operational researches and engineers, the results from simulations are reported and commented in the paper.

Details

Kybernetes, vol. 39 no. 6
Type: Research Article
ISSN: 0368-492X

Keywords

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Article
Publication date: 14 June 2011

Duan Chuan‐bin and Chen Peng

The purpose of this paper is to study the relationship of broad‐spectrum analysis and pansystems methodology from the fundamental questions of the study of broad‐spectrum analysis.

116

Abstract

Purpose

The purpose of this paper is to study the relationship of broad‐spectrum analysis and pansystems methodology from the fundamental questions of the study of broad‐spectrum analysis.

Design/methodology/approach

By means of structure analysis and comparison method, the paper gives an introduction to the inner features and connections of broad‐spectrum analysis and pansystems methodology, respectively.

Findings

The opinion that pansystems methodology applies in the two features of broad‐spectrum analysis is put forward, and three aspects in the application of broad‐spectrum analysis in pansystems methodology are analyzed.

Research limitations/implications

The details of the structural models in this paper have to be worked out.

Practical implications

The paper contributes to understanding the features of broad‐spectrum analysis and pansystems methodology.

Originality/value

The paper reveals the original relationship between broad‐spectrum analysis and pansystems methodology, which embodies the value of pansystems methodology to broad‐spectrum analysis.

Details

Kybernetes, vol. 40 no. 5/6
Type: Research Article
ISSN: 0368-492X

Keywords

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