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Base vector learning mechanism for fuzzy model

Base vector learning mechanism for fuzzy model

引用

International Conference on Digital Manufacturing and automation

作者： Fan, Yugang Wang, Hua Wang, Haiqing Wu, Jiande Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming China Faculty of Metallurgy and Energy Engineering Kunming University of Science and Technology Kunming China National Lab of Industrial Control Technology Institute of Industrial Process Control Zhejiang University Hangzhou China

ISBN: (纸本)9780769542867

Fuzzy model based on support vector machine(SVM-based fuzzy model) was proposed in recent years. Although SVM has an excellent generalization performance, it is considered to have lower computation speed, and a large number of support vectors may be found, which leads to a complex fuzzy model with too many rules. To deal with the problem, the paper presents a new approach called base vector learning(BVL) to build fuzzy model. There are two steps in the process of the BVL-based fuzzy modeling. First, the quadratic Renyi entropy is applied to select base vectors, which are used to span a subspace in feature space F. Then, all data are projected onto this subspace where classical algorithms such as classification or regression can be applied. If Gaussian kernel is considered, the structure of BVL is equivalent to fuzzy model. The performance of the proposed learning scheme is illustrated by experiments of classification and regression. © 2010 IEEE.

关键词： Support vector machines

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Concentration prediction of 4-CBA based on local weighted LS-SVM

Concentration prediction of 4-CBA based on local weighted LS...

引用

International Conference on Digital Manufacturing and automation

作者： Fan, Yugang Wang, Hua Wang, Haiqing Wu, Jiande Faculty of Information Engineering and Automation Kunming University of Science and Technology Kunming China Faculty of Metallurgy and Energy Engineering Kunming University of Science and Technology Kunming China National Lab. of Industrial Control Technology Institute of Industrial Process Control Zhejiang University Hangzhou China

ISBN: (纸本)9780769542867

In this paper, a new fuzzy adaptive local modeling method based on local learning and weighted least squares support vector machine (LS-SVM) is proposed by building fuzzy membership model for the training data. Just as LS-SVM, local LS-SVM is also sensitive to outliers or noises. A proper fuzzy membership model based on support vector data description (SVDD) is proposed to deal with the problem. Fuzzy membership value to each input sample is confirmed according to it's distance to the center of smallest enclosing hypersphere determined by SVDD. The proposed local weighted LS-SVM is applied to predict the concentration of 4-Carboxybenzaldchydc (4-CBA) in purified terephthalic acid (PTA) oxidation process. Results indicate that the proposed method actually reduces the effect of outliers and its accuracy is improved. © 2010 IEEE.

关键词： Vectors

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Modeling of wave energy absorption system for underwater vehicle based on PSORBF neural networks

Modeling of wave energy absorption system for underwater veh...

引用

2010 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2010

作者： Zhang, Ying Li, Mengxin Xu, Ke Dong, Zaili Information and Control Engineering Faculty Shenyang Jianzhu University Shenyang 110168 China Shenyang Institute of Automation Chinese Academy of Sciences Shenyang 110016 China

ISBN: (纸本)9781424465835

Technology of energy self-supply which can improve the work efficiency and extend the work time is significant for underwater carrier, such as underwater vehicle. As one of the renewable energy, the absorption and utilization of wave energy is always an important research field home and abroad, and energy absorption efficiency is the key. A wave energy absorption system based on inertial pendulum is presented, and dynamics equations are established. A method based on PSORBF neural network is adopted to model in time domain. The results obtained by simulation software and by neural network are compared, which validate the method used to be correct and make basis on future research. ©2010 IEEE.

关键词： Computer software

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Artificial neural networks eccentricity fault detection of induction motor

Artificial neural networks eccentricity fault detection of i...

引用

International Multi-Conference on Computing in The Global Information Technology

作者： Matić, Dragan Kulić, Filip Pineda-Sanchez, Manuel Pons-Llinares, Joan Department for Automation and System Control Faculty of Technical Science Novi Sad Serbia Department of Electrical Engineering Universidad Politécnica de Valencia Valencia Spain

ISBN: (纸本)9780769541815

This paper deals with eccentricity fault detection in a induction motor via artificial neural networks. Discriminative features are extracted from magnitude-frequency plot of line current spectra at characteristic frequencies. Based on this data, training and test sets for used artificial neural networks are made. Feedforward and radial basis function neural networks are used for tasks of rotor condition classification. Well trained artificial neural networks are capable to successfully classify rotor condition at medium and full shaft load for choosen features. Simple structure and implementation made them suitably for practical usage. © 2010 IEEE.

关键词： Induction motors

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Method for prediction of coal and gas outburst based on multi-agent information fusion

Method for prediction of coal and gas outburst based on mult...

引用

2010 International Conference on Intelligent Computation Technology and automation, ICICTA 2010

作者： Yan, Xin Fu, Hua Tu, Naiwei Faculty of Electrical and Engineering Control Liaoning Technical University Huludao 125105 China Key Lab of Process Industry Automation Northeastern University Ministry of Education Shenyang 110004 China

ISBN: (纸本)9780769540771

In view of the problems existing in the prediction methods of coal and gas outburst, a method for prediction of coal and gas outburst based on multi-agent information fusion is proposed. In the method, considering the measured data relevant to many influence factors, a multi-agent information fusion model for rapid, dynamic and accurate prediction of coal and gas outburst is given, Dempster-Shafer (D-S) evidence theory is used to reduce the uncertainty and improve the accuracy in the prediction of coal and gas outburst. The results show that the proposed method has high accuracy, which is a practical method to predict coal and gas outburst. © 2010 IEEE.

关键词： Information fusion

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Low-complexity polynomial approximation of explicit MPC via linear programming

Low-complexity polynomial approximation of explicit MPC via ...

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作者： Kvasnica, Michal Löfberg, Johan Herceg, Martin Čirka, L'Uboš Fikar, Miroslav Automatic Control Laboratory Linköpings Universitet Linköpings Sweden Faculty of Chemical and Food Technology Institute of Information Engineering Automation and Mathematics Slovak University of Technology Bratislava Slovakia

ISBN: (纸本)9781424474264

This paper addresses the issue of the practical implementation of Model Predictive controllers (MPC) to processes with short sampling times. Given an explicit solution to an MPC problem, the main idea is to approximate the optimal control law defined over state space regions by a single polynomial of pre-specified degree which, when applied as a state-feedback, guarantees closed-loop stability, constraint satisfaction, and a bounded performance decay. It is shown how to search for such a polynomial by solving a single linear program. © 2010 AACC.

关键词： Polynomial approximation

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Underlying system using dynamic clustering and structural similarity

Underlying system using dynamic clustering and structural si...

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2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010

作者： Hernando Colina, M. Eliezer Castañeda, M. Wladimir Rodríguez, G. Carlos Parra, O. University of Pamplona Engineering Faculty Systems Engineering Department Pamplona Norte de Santander Colombia Automation and Control Department University of Andes System School Sede la Hechicera Estado Mérida Mérida Venezuela Department of Computer Engineering Faculty System School Sede la Hechicera Estado Mérida Mérida Venezuela

ISBN: (纸本)9781424469208

we propose a new perspective on the identification of linear dynamic system using structural similarity. The proposal consists in the meaningful exploration of each model, specifically behavior of the state variable. The decomposition of the behavior of a state variable in different modes of behavior of a system, each one has a different set of weights and shows different patterns of behavior. These weights are more significant than eigenvalue to develop a new technique for identifying linear system and invariants over time. We use two methods based on different areas of knowledge such as linear algebra and statistics. This paper is a conceptual proof that enriches the implementation and validity not only from point of view algorithmic likewise physic mathematical. © 2010 IEEE.

关键词： Artificial intelligence

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Research on the control station system for a shape-shifting search and rescue robot

Research on the control station system for a shape-shifting ...

引用

2010 IEEE International Conference on Robotics and Biomimetics, ROBIO 2010

作者： Wang, Minghui Wang, Nan Wu, Chengdong Li, Bin State Key Laboratory of Robotics Shenyang Institute of Automation Chinese Academy of Sciences Shenyang 110016 China Information and Control Engineering Faculty Shenyang JianZhu University Shenyang 110168 China College of Information Science and Engineering Northeastern University Shenyang 110004 China

ISBN: (纸本)9781424493173

In conformity with the request for search and rescue application, the design criterions of human-robot interaction are proposed. Based on the human-robot interaction, the control station system for the shape-shifting search and rescue robot is designed. The system mainly has four features, which are completely perceptive information, flexible control, friendly interface and strong interaction. The experiments demonstrate that the control station system for search and rescue robots can control motion and exchange the multi-channel information in the complex simulated after-earthquake environment. Thus, feasibility and validity of the control station system have been proved in the fields of search and rescue. © 2010 IEEE.

关键词： Human robot interaction

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Behavior of winding to ground fault in transformer windings using discrete wavelet transform

Behavior of winding to ground fault in transformer windings ...

引用

4th IASTED Asian Conference on Power and Energy Systems, AsiaPES 2010

作者： Pothisarn, Chaichan Ngaopitakkul, Atthapol Pongchaisrikul, Worravut Apisit, Chaowat Jonpermpoonpol, Saridroje Department of Electrical Engineering Faculty of Engineering King Mongkut's Institute of Technology Ladkrabang Bangkok 10520 Thailand Distribution Control Section Automation System Division Provincial Electricity Authority 200 Ngam Wong Wan Road Jatujak Bangkok 10900 Thailand

ISBN: (纸本)9780889868557

In the literature for fault detection, most of research works have never been mentioned about the high frequency transformer including capacitances. This paper presents behaviour of winding to ground fault signals in a three-phase two-winding transformer. The advantage of the discrete wavelet transform (DWT) is that the band of analysis can be fine adjusted so that high frequency components and low frequency components are detected precisely, consequently DWT is considered herein. The fault is simulated using ATP/EMTP and the behaviour analysis of signals is performed using DWT. The variation of high frequency components of differential current signals is proposed in this paper. The results obtained from the analysis will be useful in the development of a detect fault scheme for power transformer in the future.

关键词： Power transformers

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Nested backward compensation of unmatched effects of unknown inputs based on HOSM identification

Nested backward compensation of unmatched effects of unknown...

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2010 11th International Workshop on Variable Structure Systems, VSS 2010

作者： Ferreira, Alejandra Punta, Elisabetta Department of Control Engineering Faculty C.P. 04510. México DF Mexico Institute of Intelligent Systems for Automation National Research Council of Italy ISSIA-CNR Genoa Italy

ISBN: (纸本)9781424458318

The paper considers the regulation problem of linear time invariant systems with unmatched perturbations. The proposed methodology exploits a high order sliding mode observer, which guarantees theoretically exact state and perturbation estimation. It is introduced a controller with a compensation strategy based on the identified perturbation values. When the system satisfies quite restrictive assumptions, the method ensures exact regulation of the unmatched states. In order to deal with the general case it is proposed a nested backward strategy to design the sliding surface, which allows to compensate the unmatched uncertainties and to stabilize some of the non-actuated state components, while all the remaining states are maintained bounded. © 2010 IEEE.

关键词： Linear time-invariant system

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