Pub Date : 2008-07-13DOI: 10.1109/INDIN.2008.4618351
A. Azadeh, O. Seraj, Morteza Saberi
The objective of this study is to examine the most well known fuzzy regression approaches with respect to energy consumption estimation. Furthermore there is no clear cut as to which approach is superior for energy consumption estimation. This is quite important in developing countries such China and Iran severe fluctuation for energy consumption. Where classic regression approaches do not provide a suitable prediction. In the present study, monthly data for electricity consumption in Iran are studied from 1992 to 2004. For suitable anticipation of electricity demand fluctuations, sixteen fuzzy regression models are considered in this research. Each fuzzy regression model has different approach and advantages. Auto correlation function was applied for defining input data of each of these models. By using this technique a few combinations are considered for selecting the input of each model. After calculating each model, their outputs will be an estimated function of the rate of electricity consumption in Iran. For determining the rate of error of fuzzy regression models estimations, the rate of output of each model is compared with the actual rate of monthly electricity consumption in test data. Five types of errors are considered for each model. Also an analysis of variance and Duncanpsilas multiple range tests are performed to formally select the best fuzzy regression model. The results show that Peterpsilas model is out performs the other by considerable margin.
{"title":"A review and comparison of fuzzy regression models for energy consumption estimation","authors":"A. Azadeh, O. Seraj, Morteza Saberi","doi":"10.1109/INDIN.2008.4618351","DOIUrl":"https://doi.org/10.1109/INDIN.2008.4618351","url":null,"abstract":"The objective of this study is to examine the most well known fuzzy regression approaches with respect to energy consumption estimation. Furthermore there is no clear cut as to which approach is superior for energy consumption estimation. This is quite important in developing countries such China and Iran severe fluctuation for energy consumption. Where classic regression approaches do not provide a suitable prediction. In the present study, monthly data for electricity consumption in Iran are studied from 1992 to 2004. For suitable anticipation of electricity demand fluctuations, sixteen fuzzy regression models are considered in this research. Each fuzzy regression model has different approach and advantages. Auto correlation function was applied for defining input data of each of these models. By using this technique a few combinations are considered for selecting the input of each model. After calculating each model, their outputs will be an estimated function of the rate of electricity consumption in Iran. For determining the rate of error of fuzzy regression models estimations, the rate of output of each model is compared with the actual rate of monthly electricity consumption in test data. Five types of errors are considered for each model. Also an analysis of variance and Duncanpsilas multiple range tests are performed to formally select the best fuzzy regression model. The results show that Peterpsilas model is out performs the other by considerable margin.","PeriodicalId":112553,"journal":{"name":"2008 6th IEEE International Conference on Industrial Informatics","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124267541","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-07-13DOI: 10.1109/INDIN.2008.4618192
Wang Weihua, Huang Fenggang
The permutation indetermination is a very important problem in the frequency domain blind source separation. This paper proposes a novel algorithm based on amplitude correlation between two adjacent frequency bins. The amplitude correlation between adjacent frequency bins of the same speech signal is better than that of different speech signals. We construct amplitude correlation matrixes between two adjacent frequency bins according to the amplitude correlation, and then map the independent components (ICs) to the corresponding sources. The proposed method is on-line. It is feasible to implement ICA algorithm and proposed method simultaneously. Simulation results showed the encouraging performance.
{"title":"Improved method for solving permutation problem of frequency domain blind source separation","authors":"Wang Weihua, Huang Fenggang","doi":"10.1109/INDIN.2008.4618192","DOIUrl":"https://doi.org/10.1109/INDIN.2008.4618192","url":null,"abstract":"The permutation indetermination is a very important problem in the frequency domain blind source separation. This paper proposes a novel algorithm based on amplitude correlation between two adjacent frequency bins. The amplitude correlation between adjacent frequency bins of the same speech signal is better than that of different speech signals. We construct amplitude correlation matrixes between two adjacent frequency bins according to the amplitude correlation, and then map the independent components (ICs) to the corresponding sources. The proposed method is on-line. It is feasible to implement ICA algorithm and proposed method simultaneously. Simulation results showed the encouraging performance.","PeriodicalId":112553,"journal":{"name":"2008 6th IEEE International Conference on Industrial Informatics","volume":"91 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125173093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-07-13DOI: 10.1109/INDIN.2008.4618255
Sang-Hong Lee, J. Lime
Fuzzy neural networks have been successfully applied to generate predictive rules for exchange rate forecasting. This paper presents a methodology to forecast the daily and weekly GBP/USD exchange rate by extracting fuzzy rules based on the neural network with weighted fuzzy membership functions (NEWFM) and the minimized number of input features using the distributed non-overlap area measurement method. NEWFM supports the analysis of the time series of the daily and weekly exchange rate based on the defuzzyfication of weighted average method which is the fuzzy model suggested by Takagi and Sugeno. NEWFM classifies upward and downward cases of next daypsilas and next weekpsilas GBP/USD exchange rate using the recent 32 days and 32 weeks of CPPn,m (Current Price Position of day n and week n : a percentage of the difference between the price of day n and week n and the moving average of the past m days and m weeks from day n-1 and week n-1) of the daily and weekly GBP/USD exchange rate, respectively. In this paper, the Haar wavelet function is used as a mother wavelet. The most important five and four input features among CPPn,m and 38 numbers of wavelet transformed coefficients produced by the recent 32 days and 32 weeks of CPPn,m are selected by the non-overlap area distribution measurement method, respectively. The data sets cover a period of approximately ten years starting from 2 January 1990. The proposed method shows that the accuracy rates are 55.19% for the daily data and 72.58% for the weekly data.
{"title":"Forecasting exchange rate by weighted average defuzzification based on NEWFM","authors":"Sang-Hong Lee, J. Lime","doi":"10.1109/INDIN.2008.4618255","DOIUrl":"https://doi.org/10.1109/INDIN.2008.4618255","url":null,"abstract":"Fuzzy neural networks have been successfully applied to generate predictive rules for exchange rate forecasting. This paper presents a methodology to forecast the daily and weekly GBP/USD exchange rate by extracting fuzzy rules based on the neural network with weighted fuzzy membership functions (NEWFM) and the minimized number of input features using the distributed non-overlap area measurement method. NEWFM supports the analysis of the time series of the daily and weekly exchange rate based on the defuzzyfication of weighted average method which is the fuzzy model suggested by Takagi and Sugeno. NEWFM classifies upward and downward cases of next daypsilas and next weekpsilas GBP/USD exchange rate using the recent 32 days and 32 weeks of CPPn,m (Current Price Position of day n and week n : a percentage of the difference between the price of day n and week n and the moving average of the past m days and m weeks from day n-1 and week n-1) of the daily and weekly GBP/USD exchange rate, respectively. In this paper, the Haar wavelet function is used as a mother wavelet. The most important five and four input features among CPPn,m and 38 numbers of wavelet transformed coefficients produced by the recent 32 days and 32 weeks of CPPn,m are selected by the non-overlap area distribution measurement method, respectively. The data sets cover a period of approximately ten years starting from 2 January 1990. The proposed method shows that the accuracy rates are 55.19% for the daily data and 72.58% for the weekly data.","PeriodicalId":112553,"journal":{"name":"2008 6th IEEE International Conference on Industrial Informatics","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125233410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-07-13DOI: 10.1109/INDIN.2008.4618052
P. Palensky
Summary form only given. Technical systems get into serious troubles, once confronted with a certain degree of complexity. An analytical, exhaustive description of a complex problem is often not possible, and so its solution. Far away from scalar control loops and PLC (programmable logic controller) based machinery control, future automation systems are supposed to process a tremendous amount of information coming from millions of sensors and complex information sources like cameras. Large numbers of inexpensive and diverse sources of information can increase the performance of automation tasks in buildings, factories, transport systems, or machinery. However, the complex and context-dependent semantics of such large amounts of data make bit-by-bit processing and traditional rule-based decisions impossible. A new trail from the sensor values to decisions is necessary. Let us take a journey into a new research approach, where bionic systems try to mimic the capabilities of conscious creatures. The human mind, as described in the latest findings of neurology and psychoanalysis, gives a blueprint of a system that is potentially capable of filtering, evaluating, and judging situations and scenarios. The relationship between system/environment interactions, memory, emotions, learning, and higher mental processes is believed to be the key for the success exhibited by our species. This talk will outline the possibilities, the state of the art and the expectations of applying new ideas in artificial intelligence, psychology and neurology in complex industrial automation environments and shall serve as inspiration and challenge to the INDIN community.
{"title":"The ghost in the machine 2.0: Psycho-bionic steps towards mastering complex environments","authors":"P. Palensky","doi":"10.1109/INDIN.2008.4618052","DOIUrl":"https://doi.org/10.1109/INDIN.2008.4618052","url":null,"abstract":"Summary form only given. Technical systems get into serious troubles, once confronted with a certain degree of complexity. An analytical, exhaustive description of a complex problem is often not possible, and so its solution. Far away from scalar control loops and PLC (programmable logic controller) based machinery control, future automation systems are supposed to process a tremendous amount of information coming from millions of sensors and complex information sources like cameras. Large numbers of inexpensive and diverse sources of information can increase the performance of automation tasks in buildings, factories, transport systems, or machinery. However, the complex and context-dependent semantics of such large amounts of data make bit-by-bit processing and traditional rule-based decisions impossible. A new trail from the sensor values to decisions is necessary. Let us take a journey into a new research approach, where bionic systems try to mimic the capabilities of conscious creatures. The human mind, as described in the latest findings of neurology and psychoanalysis, gives a blueprint of a system that is potentially capable of filtering, evaluating, and judging situations and scenarios. The relationship between system/environment interactions, memory, emotions, learning, and higher mental processes is believed to be the key for the success exhibited by our species. This talk will outline the possibilities, the state of the art and the expectations of applying new ideas in artificial intelligence, psychology and neurology in complex industrial automation environments and shall serve as inspiration and challenge to the INDIN community.","PeriodicalId":112553,"journal":{"name":"2008 6th IEEE International Conference on Industrial Informatics","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125276153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-07-13DOI: 10.1109/INDIN.2008.4618219
W. Wang, H. Chan
This study compares two case studies in the same industry which are recently adopting the virtual organization approach in order to improve the performance of their supply chains. One enterprise tries to integrate the market side by merging a brand owner whereas another one seeks for the integration solution to stop suffering from its insufficient control over the sub-manufacturing sites that each of them is registered as an independent firm during the corporate expanding period. By participating in the two projects, our research indicates different barriers of integrating toward the upstream and downstream supply chains and provides a mutual solution by building up the e-Fashion global supply chains. Similarities and dissimilarities of both cases towards the virtual organization approach are also addressed in this paper.
{"title":"Virtual organization for supply chain integration","authors":"W. Wang, H. Chan","doi":"10.1109/INDIN.2008.4618219","DOIUrl":"https://doi.org/10.1109/INDIN.2008.4618219","url":null,"abstract":"This study compares two case studies in the same industry which are recently adopting the virtual organization approach in order to improve the performance of their supply chains. One enterprise tries to integrate the market side by merging a brand owner whereas another one seeks for the integration solution to stop suffering from its insufficient control over the sub-manufacturing sites that each of them is registered as an independent firm during the corporate expanding period. By participating in the two projects, our research indicates different barriers of integrating toward the upstream and downstream supply chains and provides a mutual solution by building up the e-Fashion global supply chains. Similarities and dissimilarities of both cases towards the virtual organization approach are also addressed in this paper.","PeriodicalId":112553,"journal":{"name":"2008 6th IEEE International Conference on Industrial Informatics","volume":"21 8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126098549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-07-13DOI: 10.1109/INDIN.2008.4618163
J. Lo
The failure-detection and fault-correction are critical processes in attaining good performance of software quality. In this paper, we propose several improvements on the conventional software reliability growth models (SRGMs) to describe actual software development process by eliminating some unrealistic assumptions. Most of these models have focused on the failure detection process and not given equal priority to modeling the fault correction process. But, most latent software errors may remain uncorrected for a long time even after they are detected, which increases their impact. The remaining software faults are often one of the most unreliable reasons for software quality. Therefore, we develop a general framework of the modeling of the failure detection and fault correction processes. Furthermore, we also analyze the effect of applying the delay-time non-homogeneous Poisson process (NHPP) models. Finally, numerical examples are shown to illustrate the results of the integration of the detection and correction process.
{"title":"An integrated framework of the modeling of failure-detection and fault-correction processes in software reliability analysis","authors":"J. Lo","doi":"10.1109/INDIN.2008.4618163","DOIUrl":"https://doi.org/10.1109/INDIN.2008.4618163","url":null,"abstract":"The failure-detection and fault-correction are critical processes in attaining good performance of software quality. In this paper, we propose several improvements on the conventional software reliability growth models (SRGMs) to describe actual software development process by eliminating some unrealistic assumptions. Most of these models have focused on the failure detection process and not given equal priority to modeling the fault correction process. But, most latent software errors may remain uncorrected for a long time even after they are detected, which increases their impact. The remaining software faults are often one of the most unreliable reasons for software quality. Therefore, we develop a general framework of the modeling of the failure detection and fault correction processes. Furthermore, we also analyze the effect of applying the delay-time non-homogeneous Poisson process (NHPP) models. Finally, numerical examples are shown to illustrate the results of the integration of the detection and correction process.","PeriodicalId":112553,"journal":{"name":"2008 6th IEEE International Conference on Industrial Informatics","volume":"78 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129797535","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-07-13DOI: 10.1109/INDIN.2008.4618098
Ketai He, Ju-ping Shao, Yubo Liu, Shaohua Dong
A new urban logistics delivery system is brought forward to resolve the traffic congestion. With the development of economy, there are more and more vehicles in megapolises, so the burdens of city roads become more and more heavy, and the environmental impacts and energy shortage become severer. Underground logistics system (ULS) is used to resolve the problem in many countries. For the high cost and limitations of special use, not all the megapolises can build ULS, and the effect of ULS is limited. In the paper, the new urban logistics delivery system is designed based on Rail Transit. The framework of rail transit based urban logistics delivery system is put forward. The system is composed of management information center, cargo center, rail transit and delivery workers. To support the system, general transport containers are conceptual designed. The management and control system is used to fulfill the effective operation management and control works. At the end, the paper discusses the criterion of nodes planning.
{"title":"Conceptual design of rail transit based urban logistics delivery system","authors":"Ketai He, Ju-ping Shao, Yubo Liu, Shaohua Dong","doi":"10.1109/INDIN.2008.4618098","DOIUrl":"https://doi.org/10.1109/INDIN.2008.4618098","url":null,"abstract":"A new urban logistics delivery system is brought forward to resolve the traffic congestion. With the development of economy, there are more and more vehicles in megapolises, so the burdens of city roads become more and more heavy, and the environmental impacts and energy shortage become severer. Underground logistics system (ULS) is used to resolve the problem in many countries. For the high cost and limitations of special use, not all the megapolises can build ULS, and the effect of ULS is limited. In the paper, the new urban logistics delivery system is designed based on Rail Transit. The framework of rail transit based urban logistics delivery system is put forward. The system is composed of management information center, cargo center, rail transit and delivery workers. To support the system, general transport containers are conceptual designed. The management and control system is used to fulfill the effective operation management and control works. At the end, the paper discusses the criterion of nodes planning.","PeriodicalId":112553,"journal":{"name":"2008 6th IEEE International Conference on Industrial Informatics","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129993684","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-07-13DOI: 10.1109/INDIN.2008.4618260
Fei Gao, Jujang Lee
In this paper, a novel chaos control approach by differential evolution (DE) algorithm is proposed to control the inherent chaotic phenomenon in genetic algorithms. Firstly the new approach detects the dynamical behaviors of a new discrete chaos system with rational fraction in GA such as the extreme values and unstable periodic points. Secondly it directs the chaotic system to its unstable fix point from any initial point by global controlling factors {Uk} solved self-adaptively by DE. Thirdly it proposes a multi-model solution for chaos control through DE to stabilize the system on its unstable fix point. Simulation results are further presented to show the effectiveness and performance of the put method.
{"title":"A new approach in discrete chaos system control by differential evolution Algorithm","authors":"Fei Gao, Jujang Lee","doi":"10.1109/INDIN.2008.4618260","DOIUrl":"https://doi.org/10.1109/INDIN.2008.4618260","url":null,"abstract":"In this paper, a novel chaos control approach by differential evolution (DE) algorithm is proposed to control the inherent chaotic phenomenon in genetic algorithms. Firstly the new approach detects the dynamical behaviors of a new discrete chaos system with rational fraction in GA such as the extreme values and unstable periodic points. Secondly it directs the chaotic system to its unstable fix point from any initial point by global controlling factors {Uk} solved self-adaptively by DE. Thirdly it proposes a multi-model solution for chaos control through DE to stabilize the system on its unstable fix point. Simulation results are further presented to show the effectiveness and performance of the put method.","PeriodicalId":112553,"journal":{"name":"2008 6th IEEE International Conference on Industrial Informatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129775942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-07-13DOI: 10.1109/INDIN.2008.4618244
R. de M. Valentim, A. Morais, A. Guerreiro, G.B. Branddo, C. D. De Araujo
This paper presents a multicycles protocol for hospital automation (MP-HA) that works over multicast addressing and use a master-slave architecture. The protocol creates a segmented logical network based on multicast addressing associated to hospital beds. The objective of MP-HA is to ensure the determinism on network through medium access control mechanism increasing the transmission throughput. Thus, it creates a periodical environment making use of the parallel cycles which is called multicycles.
{"title":"MP-HA: Multicycles Protocol for Hospital Automation over multicast with IEEE 802.3","authors":"R. de M. Valentim, A. Morais, A. Guerreiro, G.B. Branddo, C. D. De Araujo","doi":"10.1109/INDIN.2008.4618244","DOIUrl":"https://doi.org/10.1109/INDIN.2008.4618244","url":null,"abstract":"This paper presents a multicycles protocol for hospital automation (MP-HA) that works over multicast addressing and use a master-slave architecture. The protocol creates a segmented logical network based on multicast addressing associated to hospital beds. The objective of MP-HA is to ensure the determinism on network through medium access control mechanism increasing the transmission throughput. Thus, it creates a periodical environment making use of the parallel cycles which is called multicycles.","PeriodicalId":112553,"journal":{"name":"2008 6th IEEE International Conference on Industrial Informatics","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128047324","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2008-07-13DOI: 10.1109/INDIN.2008.4618195
Defeng Wu, A. Li, Zi Ma, Quanmin Zhu
Main contributions include: (1) A non-integer order rational model structure is presented with justification of more general form for non-linear rational models. (2) An adaptive differential evolution algorithm is proposed and applied in parameter estimation of non-integer order rational models. The convergence and effectiveness of the proposed algorithm are validated by two simulation cases.
{"title":"On non-integer order rational model identification","authors":"Defeng Wu, A. Li, Zi Ma, Quanmin Zhu","doi":"10.1109/INDIN.2008.4618195","DOIUrl":"https://doi.org/10.1109/INDIN.2008.4618195","url":null,"abstract":"Main contributions include: (1) A non-integer order rational model structure is presented with justification of more general form for non-linear rational models. (2) An adaptive differential evolution algorithm is proposed and applied in parameter estimation of non-integer order rational models. The convergence and effectiveness of the proposed algorithm are validated by two simulation cases.","PeriodicalId":112553,"journal":{"name":"2008 6th IEEE International Conference on Industrial Informatics","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2008-07-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130865022","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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