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Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference最新文献

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Efficient algorithms for high resolution fuzzy controllers with piecewise linearities 分段线性高分辨率模糊控制器的有效算法
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343688
T. Runkler, M. Glesner
{"title":"Efficient algorithms for high resolution fuzzy controllers with piecewise linearities","authors":"T. Runkler, M. Glesner","doi":"10.1109/FUZZY.1994.343688","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343688","url":null,"abstract":"Classical fuzzy controller implementations become very slow and memory intensive, when high internal or output resolution is required, because membership functions are stored as lookup tables. High resolution fuzzy controllers represent membership functions by their characteristics and thus provide low memory effort and very fast inference, composition and defuzzification algorithms. We propose a high resolution fuzzy controller with trapezoidal membership functions stored in point lists and corresponding algorithms for minimum inference, maximum composition, and centroid defuzzification. The implementation shows a 7 to 10 times acceleration and a 20 to 1000 times memory reduction. For resolutions of more than 12 bit even higher improvements can be achieved.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116198098","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}
引用次数: 3
Fuzzy logic assisted manual control of joystick operated hydraulic crane 模糊逻辑辅助操纵杆液压起重机手动控制
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343656
E. Niemela, T. Virvalo
{"title":"Fuzzy logic assisted manual control of joystick operated hydraulic crane","authors":"E. Niemela, T. Virvalo","doi":"10.1109/FUZZY.1994.343656","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343656","url":null,"abstract":"Fuzzy logic has been applied widely in various closed-loop control systems. In the case of a hydraulic mobile crane, the operator often has many mechanical manual valve lever arms to handle simultaneously. In this paper, it is shown how by using a fuzzy logic controller, the operator's task of controlling independent booms can be reduced using an electrically operated joystick.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115315437","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}
引用次数: 3
Fuzzy multiobjective optimization with multivariate regression trees 多元回归树模糊多目标优化
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343563
B. Forouraghi, L. Schmerr, G. M. Prabhu
{"title":"Fuzzy multiobjective optimization with multivariate regression trees","authors":"B. Forouraghi, L. Schmerr, G. M. Prabhu","doi":"10.1109/FUZZY.1994.343563","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343563","url":null,"abstract":"We introduce a new methodology in which multiobjective optimization is formulated as unsupervised learning through induction of multivariate regression trees. In particular, it is shown that learning of Pareto-optimal solutions can be efficiently accomplished by using a number of fuzzy tree partitioning criteria. These include: a newly formulated fuzzy method based on Kendall's nonparametric measure of association (G. Simon, 1977), Bellman-Zadeh's approach to multiobjective decision making utilized in an inductive framework (R.E. Bellman and L.A. Zadeh, 1970), and finally, multidimensional fuzzy entropy (B. Kosko, 1990). For purposes of comparison, the efficiency of learning with fuzzy partitioning criteria is compared with that of two conventional multivariate statistical techniques based on dispersion matrices. The widely used problem of design of a three bar truss is presented to highlight advantages of our new approach.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"193 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115634377","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}
引用次数: 4
Fuzzy controller design via hyperstability approach 基于超稳定方法的模糊控制器设计
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343696
Liang Wang, R. Langari
{"title":"Fuzzy controller design via hyperstability approach","authors":"Liang Wang, R. Langari","doi":"10.1109/FUZZY.1994.343696","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343696","url":null,"abstract":"This paper presents a systematic procedure of designing fuzzy controllers for a class of nonlinear systems. The main scheme is to reduce the nonlinear model to a linear model by introducing a reference signal or model, and then design a controller to satisfy the desired control objective by means of Popov's hyperstability theory.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124906731","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}
引用次数: 10
Fuzzy active control of a distributed broadband noise source 分布式宽带噪声源的模糊主动控制
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343617
O. Kipersztok, R. Hammond
{"title":"Fuzzy active control of a distributed broadband noise source","authors":"O. Kipersztok, R. Hammond","doi":"10.1109/FUZZY.1994.343617","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343617","url":null,"abstract":"This paper describes the use of fuzzy logic for the active control of a distributed broadband noise source modelled by multiple primary sources with low correlation between them. The early signals are collected from several early microphones placed near the sources. In addition to its ease of implementation and to making explicit the heuristic rules of control, the fuzzy logic approach localizes the control for each early microphone/loudspeaker pair, making it work as an independent unit. The use of several, independent central units offers improved computational efficiency, which is critical for situations when the source is non-stationary, and offers the potential for parallelization.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121350628","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}
引用次数: 9
Representing priorities of defaults in possibility theory 表示可能性理论中违约的优先级
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343637
C. Liau
{"title":"Representing priorities of defaults in possibility theory","authors":"C. Liau","doi":"10.1109/FUZZY.1994.343637","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343637","url":null,"abstract":"It is suggested by Yager (1987) that default knowledge can be represented in the framework of possibility theory. In this note, we show a potential application of the proposal. That is, the priorities of defaults can be encoded into the formalism naturally and the results produced by such encoded default theories reflect the strength of the conclusions.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125220285","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}
引用次数: 1
Possibilistic evidential reasoning systems on systolic arrays 收缩阵列上的可能性证据推理系统
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343708
S. Mohiddin, Mohammed Atiquzzaman, T. Dillon
{"title":"Possibilistic evidential reasoning systems on systolic arrays","authors":"S. Mohiddin, Mohammed Atiquzzaman, T. Dillon","doi":"10.1109/FUZZY.1994.343708","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343708","url":null,"abstract":"Suggests a systolic array implementation of fuzzy expert systems based on possibilistic evidential reasoning methodology. Evidential reasoning systems are computationally-bounded in general, and fuzzy systems match a larger number of rules than in a simple symbolic reasoning system. The proposed possibilistic evidential system, which is a combination of both types of system, needs much more computation time than either of these two independently. To speed up the processing in such systems, the suggested implementation is useful.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"48 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113991426","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}
引用次数: 1
Mapping fuzzy clustering neural networks onto systolic arrays 将模糊聚类神经网络映射到收缩阵列
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343683
D. Zhang, M. Kamel, M. Elmasry
{"title":"Mapping fuzzy clustering neural networks onto systolic arrays","authors":"D. Zhang, M. Kamel, M. Elmasry","doi":"10.1109/FUZZY.1994.343683","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343683","url":null,"abstract":"In this paper, the implementation of fuzzy clustering neural networks (NN), based on systolic arrays (SA), is explored. Mapping policies from NN to SA are established and some typical SA structures are developed. We illustrate our approach using a mapping of the topology extracted front two fuzzy clustering NNs onto its corresponding SA architecture along with a discussion of data flow and processing element definition in the SA.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122927078","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}
引用次数: 3
Generation of fuzzy numbers using maximum uncertainty possibility distributions 使用最大不确定性可能性分布生成模糊数
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343614
S. Park, C.S.G. Lee
{"title":"Generation of fuzzy numbers using maximum uncertainty possibility distributions","authors":"S. Park, C.S.G. Lee","doi":"10.1109/FUZZY.1994.343614","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343614","url":null,"abstract":"A fuzzy number is used to model the information obtained from sensors. In generating the fuzzy number, the maximum uncertainty possibility distributions (MUPD) for each individual sensor measurements are linearly combined to produce the final fuzzy number representation. MUPD is the the possibility distribution which maximizes the U-uncertainty measure while constraining the optimization with the information about the structure of the distribution function. With minimal information provided, the MUPD is the most logical choice for the shape of the uncertainty distribution associated with a single sensor measurement. For sensory information, three types of information are provided: no information about the structure of the distribution; information about the first moment of the distribution; and information about the first and the second central moments of the distribution.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127828494","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}
引用次数: 5
A neuro-fuzzy-based system architecture for the intelligent control of multi-finger robot hands 一种基于神经模糊的多指机械手智能控制系统架构
Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference Pub Date : 1994-06-26 DOI: 10.1109/FUZZY.1994.343716
G. Wohlke
{"title":"A neuro-fuzzy-based system architecture for the intelligent control of multi-finger robot hands","authors":"G. Wohlke","doi":"10.1109/FUZZY.1994.343716","DOIUrl":"https://doi.org/10.1109/FUZZY.1994.343716","url":null,"abstract":"In this paper, a new system architecture for the intelligent control of multi-finger robot hands that can operate in changing environments is presented. The conception of the control system is based on the combination of a neural network approach for the adaptation of grasp parameters and a fuzzy logic approach for the correction of parameter values given to a conventional controller. Typical tasks of dexterous hands are fine manipulation and exploration, what demands task planning and motion as well as force control capabilities. Therefore, a planning component determines initial manipulation parameters whereas a neuro-system level performs continual computation of suboptimal grasp forces and online learning of inference rules used on a fuzzy system level for parameter adjusting.<<ETX>>","PeriodicalId":153967,"journal":{"name":"Proceedings of 1994 IEEE 3rd International Fuzzy Systems Conference","volume":"66 4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1994-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128024638","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}
引用次数: 16
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