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[1992 Proceedings] IEEE International Conference on Fuzzy Systems最新文献

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Evolutive fuzzy neural networks 进化模糊神经网络
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258663
R. J. Machado, A. Freitas da Rocha
{"title":"Evolutive fuzzy neural networks","authors":"R. J. Machado, A. Freitas da Rocha","doi":"10.1109/FUZZY.1992.258663","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258663","url":null,"abstract":"The authors describe the combination of fuzzy neural networks with genetic algorithms, producing a flexible and powerful learning paradigm, called evolutive learning. Evolutive learning combines as complementary tools both inductive learning through synaptic weight adjustment and deductive learning through the modification of the network topology to obtain the automatic adaptation of system knowledge to the problem domain environment. Algorithms for the development of an evolutive learning machine are presented. A fuzzy criterion based on entropy is proposed to select the architecture for a fuzzy neural network best suited to a specific problem domain.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"175 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115158817","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: 22
Identification of nonlinear systems by fuzzy models 用模糊模型辨识非线性系统
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258710
R. Yager, Dimitar Filev
{"title":"Identification of nonlinear systems by fuzzy models","authors":"R. Yager, Dimitar Filev","doi":"10.1109/FUZZY.1992.258710","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258710","url":null,"abstract":"The concept of sampled probability distributions is introduced. A new formulation of the unified identification problem of quasi-linear fuzzy models (QLFMs) and quasi-nonlinear fuzzy models (D. Filev, 1990, 1991) that considers simultaneously the structure and parameter identification is proposed. A learning algorithm realizing structure and parameter identification of QLFMs is proposed.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115422046","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: 11
Automated fuzzy knowledge base generation and tuning 自动模糊知识库生成和调优
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258615
D. Burkhardt, P. Bonissone
{"title":"Automated fuzzy knowledge base generation and tuning","authors":"D. Burkhardt, P. Bonissone","doi":"10.1109/FUZZY.1992.258615","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258615","url":null,"abstract":"The authors present an approach to generating and tuning a knowledge base for fuzzy logic control (FLC) of an inverted pendulum. They used a modified self-organizing control procedure under typical FLC design choices with a very crude plant model to quickly converge on a rule base appropriate for the plant. A FLC using the derived rule base showed smaller percent overshoot and shorter settling time than a simple modern controller. The knowledge base was tuned by dynamically changing the controller gain according to a thresholding parameter. The best threshold/gain value was obtained by a gradient search algorithm driven by a step-response performance cost function. The same FLC using the tuned scaling factors exhibited critically damped step response.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115678394","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: 143
Design of an online rule-adaptive fuzzy control system 在线规则自适应模糊控制系统的设计
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258600
S. He, S. Tan, C. Hang, P. Wang
{"title":"Design of an online rule-adaptive fuzzy control system","authors":"S. He, S. Tan, C. Hang, P. Wang","doi":"10.1109/FUZZY.1992.258600","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258600","url":null,"abstract":"The authors discuss the design of a rule-adaptive fuzzy control system, and demonstrate its usefulness in controlling plants of various dynamical natures. The rule-adaptive fuzzy controller generates the fuzzy control signal as a convex combination of the standard fuzzy inputs to the controller, the error, and the error rate. Such a combination is automatically adjusted online amid the varying control situations with a certain updating scheme. Two different updating schemes were applied to the simulations of four selected dynamical plants. The simulation results show that the controller is effective in controlling a wide range of dynamical plants.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"145 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116765854","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
Design and performance of the fuzzy tracking controller in software simulation 软件仿真中模糊跟踪控制器的设计与性能
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258716
R. Lea, I. Chowdhury, Y. Jani, H. Shehadeh
{"title":"Design and performance of the fuzzy tracking controller in software simulation","authors":"R. Lea, I. Chowdhury, Y. Jani, H. Shehadeh","doi":"10.1109/FUZZY.1992.258716","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258716","url":null,"abstract":"A fuzzy logic based approach to a camera tracking system has been developed to support proximity operations and traffic management around the Space Station Freedom. Fuzzy sets and fuzzy logic based reasoning, were used in a control system which utilized images from a camera and generated the required pan and tilt commands to track and maintain a moving object in the cameras field of view. The design of the tracking controller is described with the details of the membership functions and the rulebase. The software simulation setup including implementation of the fuzzy controller, and the development of the software algorithm for the camera model and gimble drives, is discussed in a description of test cases, and an analysis of the results is given. The performance of the controller and future work in the camera tracking project are outlined.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125074414","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
Interpolative reasoning in fuzzy logic and neural network theory 模糊逻辑中的插值推理与神经网络理论
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258757
L. A. Zadeh
{"title":"Interpolative reasoning in fuzzy logic and neural network theory","authors":"L. A. Zadeh","doi":"10.1109/FUZZY.1992.258757","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258757","url":null,"abstract":"Summary form only given. Interpolative reasoning plays a key role in both fuzzy logic and neural network theory. The basic approaches to interpolative reasoning in both fuzzy logic and neural networks were surveyed, and their differences and similarities were analyzed. An important issue in interpolative reasoning in fuzzy logic relates to the solution of a system of fuzzy algebraic equations. Various approaches to this problem, including fuzzy Lagrangian interpolation and the use of FA-Prolog, were described and analyzed. Among other issues discussed were the compression of a system of fuzzy if-then rules and the induction of rules from observations.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"186 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123462203","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: 29
For closeable and cutworthy properties, closures always commute with cuts 对于可关闭和可切割的属性，闭包总是与切割交换
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258743
L. Kitainik
{"title":"For closeable and cutworthy properties, closures always commute with cuts","authors":"L. Kitainik","doi":"10.1109/FUZZY.1992.258743","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258743","url":null,"abstract":"The analysis presented contains generalization and algebraic characterization of closeability and cutworthiness of properties of crisp and fuzzy objects. A positive solution of the Bandler-Kohout problem is obtained. For closeable and cutworthy properties of fuzzy subsets of a finite set, closures always commute with alpha -cuts.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125375011","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: 2
A fuzzy robot controller-hardware implementation 一种模糊机器人控制器的硬件实现
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258689
A. Nedungadi
{"title":"A fuzzy robot controller-hardware implementation","authors":"A. Nedungadi","doi":"10.1109/FUZZY.1992.258689","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258689","url":null,"abstract":"The author developed a robot controller that exploits the principles of fuzzy logic to circumvent the mathematically complex inverse kinematic equations that are at the heart of operations of conventional robot controllers. The fuzzy control rules are derived for a planar robot with an arbitrary number of serial degrees of freedom. Computer simulation results are presented to verify the proposed concept. In addition, the hardware implementation of the fuzzy robot controller is described and experimental results are included.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116134255","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: 25
Stability analysis of discrete fuzzy control system 离散模糊控制系统的稳定性分析
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258682
S. Singh
{"title":"Stability analysis of discrete fuzzy control system","authors":"S. Singh","doi":"10.1109/FUZZY.1992.258682","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258682","url":null,"abstract":"The stability of a discrete fuzzy control system is discussed. A fuzzy control system has a linear plant but a nonlinear controller. The nonlinear fuzzy controller is based on an indirect reasoning mechanism. Nonlinearity of the fuzzy controller is characterized by a linear gain using a sector condition. The stability of the system is checked against the sector, whose lower bound is decided according to an algorithm for selecting the lower sector based on actual conditions. A condition of absolute stability is derived for the system. It is shown that the parametric space related to the universe of discourse in which the absolute stability of the system is guaranteed becomes wider if a sector is chosen based on the algorithm. A sufficient condition of absolute stability is derived for the case of two inputs and a single output. The effect of initial conditions and sampling time is qualitatively discussed.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122401832","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: 30
Fuzzy logic with unless-rules 带有非规则的模糊逻辑
[1992 Proceedings] IEEE International Conference on Fuzzy Systems Pub Date : 1992-03-08 DOI: 10.1109/FUZZY.1992.258626
D. Driankov, H. Hellendoorn
{"title":"Fuzzy logic with unless-rules","authors":"D. Driankov, H. Hellendoorn","doi":"10.1109/FUZZY.1992.258626","DOIUrl":"https://doi.org/10.1109/FUZZY.1992.258626","url":null,"abstract":"Unless-rules are intended to deal with problems of reasoning with incomplete information and/or resource constraints. An unless-rule is proposed to be of the form 'if X is A then Y is B unless Z is C'. Such rules are employed in situations in which the conditional statement if X is A then Y is B usually holds and the assertion Z is C holds rarely. Thus, using a rule of this type the exception condition can be ignored when the resources needed to establish its presence are tight or there simply is no information available as to whether it holds or does not hold. In this case of incomplete information, since it is the case that if X is A then Y is B usually holds, one may be willing to jump to the conclusion Y is B given that X is A because no information as to whether Z is C holds is available.<<ETX>>","PeriodicalId":222263,"journal":{"name":"[1992 Proceedings] IEEE International Conference on Fuzzy Systems","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1992-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122930160","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: 14
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