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Third International Conference on Industrial Fuzzy Control and Intelligent Systems最新文献

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Self-learning fuzzy controller with neural plant estimator for snack food frying 带神经植物估计器的自学习模糊控制器用于休闲食品油炸
Third International Conference on Industrial Fuzzy Control and Intelligent Systems Pub Date : 1993-12-01 DOI: 10.1109/IFIS.1993.324223
Y. Choi, A. Dale Whittaker, D. C. Bullock
{"title":"Self-learning fuzzy controller with neural plant estimator for snack food frying","authors":"Y. Choi, A. Dale Whittaker, D. C. Bullock","doi":"10.1109/IFIS.1993.324223","DOIUrl":"https://doi.org/10.1109/IFIS.1993.324223","url":null,"abstract":"Fuzzy logic-based control has emerged as a promising approach for complex and/or ill-defined process control. In this paper, a self-learning fuzzy controller with neural plant estimator is designed for the snack food frying control and the specific objectives are as follows: 1) to find the control variables affecting on product quality based on the statistical results of experimental data; 2) to employ the neural estimator for the prediction of real plant output related to time lag; 3) to construct the adaptive-network-based fuzzy inference system for the fuzzy inference rule extraction and the membership function tuning; and 4) to evaluate the designed controller performance by simulation.<<ETX>>","PeriodicalId":408138,"journal":{"name":"Third International Conference on Industrial Fuzzy Control and Intelligent Systems","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132802449","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: 0
Low voltage BiCMOS membership function circuit for analog VLSI fuzzy control implementation 低压BiCMOS隶属函数电路用于模拟VLSI模糊控制的实现
Third International Conference on Industrial Fuzzy Control and Intelligent Systems Pub Date : 1993-12-01 DOI: 10.1109/IFIS.1993.324179
J. Ramírez-Angulo, S. Badruzzaman, J. Coronado
{"title":"Low voltage BiCMOS membership function circuit for analog VLSI fuzzy control implementation","authors":"J. Ramírez-Angulo, S. Badruzzaman, J. Coronado","doi":"10.1109/IFIS.1993.324179","DOIUrl":"https://doi.org/10.1109/IFIS.1993.324179","url":null,"abstract":"A simple BiCMOS circuit that approximates a triangular transconductance characteristic with programmable height, slope and horizontal position is presented. Experimental results of a BiCMOS test chip that verify the operation of the circuit are shown. The circuit is very compact and it can find utilization for the VLSI implementation of membership functions in fuzzy controls and for piecewise linear approximation.<<ETX>>","PeriodicalId":408138,"journal":{"name":"Third International Conference on Industrial Fuzzy Control and Intelligent Systems","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117012099","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: 0
Knowledge-based railway scheduling system 基于知识的铁路调度系统
Third International Conference on Industrial Fuzzy Control and Intelligent Systems Pub Date : 1993-12-01 DOI: 10.1109/IFIS.1993.324217
Te-Wei Chiang, H. Hau
{"title":"Knowledge-based railway scheduling system","authors":"Te-Wei Chiang, H. Hau","doi":"10.1109/IFIS.1993.324217","DOIUrl":"https://doi.org/10.1109/IFIS.1993.324217","url":null,"abstract":"In a railway system, the timetable containing the arrival and departure times of all trains at each station is most essential for train operation. Due to the size of the problem, conventional operation research's optimization procedures are not applicable. In this paper, the authors propose a knowledge-based approach to railway scheduling. The simulation result and the resulting schedule for local scheduling have satisfactory performance.<<ETX>>","PeriodicalId":408138,"journal":{"name":"Third International Conference on Industrial Fuzzy Control and Intelligent Systems","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127346336","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
Synthesis of fuzzy controllers from linguistic specifications using an evolution strategy 基于进化策略的语言规范模糊控制器综合
Third International Conference on Industrial Fuzzy Control and Intelligent Systems Pub Date : 1993-12-01 DOI: 10.1109/IFIS.1993.324210
A. Nowé
{"title":"Synthesis of fuzzy controllers from linguistic specifications using an evolution strategy","authors":"A. Nowé","doi":"10.1109/IFIS.1993.324210","DOIUrl":"https://doi.org/10.1109/IFIS.1993.324210","url":null,"abstract":"The lack of a general methodology for tuning the parameters of a fuzzy controller is a major drawback to a more widespread usage of this control technique. In this paper the authors propose an approach based on an evolution strategy. The major advantage of the approach is twofold. Firstly, the possibility to specify the desired controller performance in linguistic terms. This entirely agrees with the general idea of fuzzy control being a framework to model human control knowledge. Secondly, since we start off from a given non-linear control schema, only three parameters have to be learned.<<ETX>>","PeriodicalId":408138,"journal":{"name":"Third International Conference on Industrial Fuzzy Control and Intelligent Systems","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124411239","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 VLSI implementation of fuzzy logic controller using current mode CMOS circuits 用电流型CMOS电路实现模糊逻辑控制器的VLSI
Third International Conference on Industrial Fuzzy Control and Intelligent Systems Pub Date : 1993-12-01 DOI: 10.1109/IFIS.1993.324185
M. Sasaki, F. Ueno
{"title":"A VLSI implementation of fuzzy logic controller using current mode CMOS circuits","authors":"M. Sasaki, F. Ueno","doi":"10.1109/IFIS.1993.324185","DOIUrl":"https://doi.org/10.1109/IFIS.1993.324185","url":null,"abstract":"A simple fuzzy logic hardware controller based on the singleton fuzzy control algorithm is proposed. The original algorithm is modified to be suitable for hardware implementation. In the algorithm, the weighted average operation can be simplified to the weighted sum operation by introducing a new operation. Therefore, the hardware controller can be simply implemented with the current mode CMOS circuits, because the weighted sum operation requires no divider but only adders which can be easily implemented by wired connections. The high performance of the circuit, for example 200 ns total delay time, 1% maximum operation error, 3 V low supply voltage and 150 /spl mu/W low power dissipation per one rule, was confirmed by SPICE simulation.<<ETX>>","PeriodicalId":408138,"journal":{"name":"Third International Conference on Industrial Fuzzy Control and Intelligent Systems","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124392381","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
Development and applications of general-purpose fuzzy controllers 通用模糊控制器的开发与应用
Third International Conference on Industrial Fuzzy Control and Intelligent Systems Pub Date : 1993-12-01 DOI: 10.1109/IFIS.1993.324225
Z. Dou, Juan Zhou
{"title":"Development and applications of general-purpose fuzzy controllers","authors":"Z. Dou, Juan Zhou","doi":"10.1109/IFIS.1993.324225","DOIUrl":"https://doi.org/10.1109/IFIS.1993.324225","url":null,"abstract":"Determination of control rules and selection scaling factors are two key aspects in the design of fuzzy controllers. The relationships between scaling factor and dynamic response of the system are analyzed, and the influence of each scaling factor on control processes is discussed. Based on these, a general-purpose fuzzy controller (GPFC) by amending scaling factors has been developed. The controller has been used in the metallurgical, fiberglass, and cigarette producing industrial processes in China for years. The results show that GPFC has the potential to be widely applied in industrial process control and may solve some of the control problems which can not be solved by traditional regulators.<<ETX>>","PeriodicalId":408138,"journal":{"name":"Third International Conference on Industrial Fuzzy Control and Intelligent Systems","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129513999","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
Aggregation of evidence by fuzzy set operations for vibration monitoring 基于模糊集运算的振动监测证据聚合
Third International Conference on Industrial Fuzzy Control and Intelligent Systems Pub Date : 1993-12-01 DOI: 10.1109/IFIS.1993.324187
A. Loskiewicz-Buczak, R. Uhrig
{"title":"Aggregation of evidence by fuzzy set operations for vibration monitoring","authors":"A. Loskiewicz-Buczak, R. Uhrig","doi":"10.1109/IFIS.1993.324187","DOIUrl":"https://doi.org/10.1109/IFIS.1993.324187","url":null,"abstract":"Documents work on the design of a diagnostic system, which performs evidence aggregation from many sensors in order to automate the interpretation of vibration spectra. The decision system proposed is an active system, which does not always fuse the decisions from all the sensors available. The decision module is a fuzzy system, performing the generalized mean operation. The parameters of the generalized mean are chosen by a genetic algorithm. The final decision is obtained from the aggregated decision by means of /spl alpha/-cuts. The method proposed is very general and can be used for any problem involving aggregation of decisions for the purpose of classification.<<ETX>>","PeriodicalId":408138,"journal":{"name":"Third International Conference on Industrial Fuzzy Control and Intelligent Systems","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117039912","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
A fuzzy expert organizer for control of robotic part assembly 机器人零件装配控制的模糊专家组织
Third International Conference on Industrial Fuzzy Control and Intelligent Systems Pub Date : 1993-12-01 DOI: 10.1109/IFIS.1993.324206
C. Son, G. Vachtsevanos
{"title":"A fuzzy expert organizer for control of robotic part assembly","authors":"C. Son, G. Vachtsevanos","doi":"10.1109/IFIS.1993.324206","DOIUrl":"https://doi.org/10.1109/IFIS.1993.324206","url":null,"abstract":"A fuzzy intelligent organizing control strategy, based on a fuzzy rule-base and derived from measured force/moment data, for a robotic device performing quasi-static assembly tasks is presented. Fuzzy set theory is implemented as an expert system to constitute the organizer of a robotic system for micro tasking (part mating) purposes. A distance metric is employed to measure the uncertainty (fuzziness) as it is related to specific control actions. A learning algorithm based on the probability of a fuzzy event and a distance metric is introduced. The top organizing level determines the most appropriate n-tuple control values with minimum fuzziness and downlinks them to the lower level of the system which carries out the specified task. Experimental results show the effectiveness of the proposed approach.<<ETX>>","PeriodicalId":408138,"journal":{"name":"Third International Conference on Industrial Fuzzy Control and Intelligent Systems","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127795864","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: 0
Development of a general purpose optical fuzzy computer 通用光学模糊计算机的研制
Third International Conference on Industrial Fuzzy Control and Intelligent Systems Pub Date : 1993-12-01 DOI: 10.1109/IFIS.1993.324193
K. Tamano
{"title":"Development of a general purpose optical fuzzy computer","authors":"K. Tamano","doi":"10.1109/IFIS.1993.324193","DOIUrl":"https://doi.org/10.1109/IFIS.1993.324193","url":null,"abstract":"A general purpose optical fuzzy computing system is proposed. This computing system consists of 5 modules, 2 image transmitters and a controller. The modules are a MAX/MIN module, a SUP/THROUGH module, a NOT/THROUGH module, an image converter, and an image memory. The operation of each new device is easily changed to a binary operation by an electric control signal represented by logical '1' and '0' values. The calculated membership function is represented by an optical image. Using the optical image, the system can deal with the data in parallelism and high speed. This paper illustrates the fundamental diagram of the general purpose optical fuzzy computer and the devices composing this system, the MAX/MIN module, the SUP/THROUGH module, NOT/THROUGH module and the multiplexer and the demultiplexer that are the image transmitters.<<ETX>>","PeriodicalId":408138,"journal":{"name":"Third International Conference on Industrial Fuzzy Control and Intelligent Systems","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127898855","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
A fuzzy cancellation of stick-slip in DC motors 直流电机粘滑的模糊消除
Third International Conference on Industrial Fuzzy Control and Intelligent Systems Pub Date : 1993-12-01 DOI: 10.1109/IFIS.1993.324220
B. Surampudi, G. Langari
{"title":"A fuzzy cancellation of stick-slip in DC motors","authors":"B. Surampudi, G. Langari","doi":"10.1109/IFIS.1993.324220","DOIUrl":"https://doi.org/10.1109/IFIS.1993.324220","url":null,"abstract":"Low velocity control of DC motors is important in precision engineering applications. The stick-slip oscillation caused by Coloumb friction between the commutator brushes and the rotor is especially predominant at low speeds. In this paper the authors present a fuzzy feedback cancellation scheme of this stick-slip oscillation. The authors use the system ODE and a stick-slip rule base to estimate the static and dynamic effects of friction. Finally, the authors discuss the broader implications of this scheme and raise some issues for future research.<<ETX>>","PeriodicalId":408138,"journal":{"name":"Third International Conference on Industrial Fuzzy Control and Intelligent Systems","volume":"309 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1993-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129654350","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
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