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FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315)最新文献

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Extension of the subset interactive AR model using non-monotonic fuzzy measures 基于非单调模糊测度的子集交互式AR模型扩展
FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315) Pub Date : 1900-01-01 DOI: 10.1109/FUZZY.1999.793125
S. Kwon, M. Sugeno
{"title":"Extension of the subset interactive AR model using non-monotonic fuzzy measures","authors":"S. Kwon, M. Sugeno","doi":"10.1109/FUZZY.1999.793125","DOIUrl":"https://doi.org/10.1109/FUZZY.1999.793125","url":null,"abstract":"The authors propose an extended subset interactive autoregressive (AR) model using non-monotonic fuzzy measures and the Choquet integral. Genetic algorithms (GAs) and the statistical model selection criterion (i.e., Akaike's information criterion, AIC) are used for the identification of the proposed model. The fitting and forecasting performances of the proposed model are analyzed by applying it to well-known time series data, the sunspot series. The results show that the proposed model is useful for time series analysis with nonlinear features.","PeriodicalId":344788,"journal":{"name":"FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115099288","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
A generalized high-precision analog CMOS rank finder for max/min/med application 一种用于max/min/med应用的通用高精度模拟CMOS秩检测器
FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315) Pub Date : 1900-01-01 DOI: 10.1109/FUZZY.1999.790158
Y. Hung, Bin-Da Liu
{"title":"A generalized high-precision analog CMOS rank finder for max/min/med application","authors":"Y. Hung, Bin-Da Liu","doi":"10.1109/FUZZY.1999.790158","DOIUrl":"https://doi.org/10.1109/FUZZY.1999.790158","url":null,"abstract":"Minimum and maximum circuits are basic fuzzy logic gates. Median filter is usually adopted in image noise cancellation. All of them are the special situation in a ranker finder. In this paper, a high-precision rank finder with configurable capability for maximum/minimum/median application is designed. Without modifying the circuit, this design can find the arbitrary rank among a set of input variables by setting select-signals. Moreover, the circuit schematic is regular and modular. The input dynamic range is rail-to-rail, so it can be used in fuzzy logic circuit design. This circuit has been simulated using 0.5 /spl mu/m CMOS technology by HSPICE. The results show that operating speed of the circuit is 250 ns, and the resolution is 3 mV for 3.3 V supply voltage.","PeriodicalId":344788,"journal":{"name":"FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315)","volume":"628 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114440015","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: 6
Learning fuzzy control rules by a constrained Powell's method 用约束鲍威尔方法学习模糊控制规则
FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315) Pub Date : 1900-01-01 DOI: 10.1109/FUZZY.1999.793019
T. Takahama, S. Sakai
{"title":"Learning fuzzy control rules by a constrained Powell's method","authors":"T. Takahama, S. Sakai","doi":"10.1109/FUZZY.1999.793019","DOIUrl":"https://doi.org/10.1109/FUZZY.1999.793019","url":null,"abstract":"Learning of fuzzy control rules can be considered as solving a constrained nonlinear optimization problem, in which the objective function is not differentiable. In this case, the problem can be solved by the combination of direct search method and penalty function method. However, it is difficult to know how much a candidate satisfies the constraints. We propose /spl alpha/ level comparison which compares the candidates based on the satisfaction level of constraints. We propose /spl alpha/ constrained method which converts constrained problems to unconstrained problems using /spl alpha/ level comparison. We also propose /spl alpha/ constrained Powell's method by applying /spl alpha/ constrained method to Powell's direct search method. Through some examples and the learning of fuzzy control rules, we show that the feasible solution can be obtained easily by our method with confirming the satisfaction level. We also show that the evaluation count of the objective function can be decreased by using \"lazy evaluation\".","PeriodicalId":344788,"journal":{"name":"FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114855561","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
Fuzzy logic based automatic rule generation and forecasting of time series 基于模糊逻辑的时间序列自动规则生成与预测
FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315) Pub Date : 1900-01-01 DOI: 10.1109/FUZZY.1999.793266
A. K. Palit, D. Popovic
{"title":"Fuzzy logic based automatic rule generation and forecasting of time series","authors":"A. K. Palit, D. Popovic","doi":"10.1109/FUZZY.1999.793266","DOIUrl":"https://doi.org/10.1109/FUZZY.1999.793266","url":null,"abstract":"An algorithm is proposed that automatically generates the fuzzy rules from time series data and can subsequently be used for forecasting of the same time series. The effectiveness of the algorithm, measured by the performance indices such as the sum squared error (SSE), root mean squared error (RMSE/MSE) and the mean absolute error (MAE), is demonstrated on forecasting of chaotic time series, as well as on forecasting of homogeneous non-stationary time series with and without seasonality and trend components.","PeriodicalId":344788,"journal":{"name":"FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117057016","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: 8
Fuzzy goal programming for solving fuzzy regression equation 求解模糊回归方程的模糊目标规划
FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315) Pub Date : 1900-01-01 DOI: 10.1109/FUZZY.1999.794347
Ruey-Chyn Tsaur, H. Wang
{"title":"Fuzzy goal programming for solving fuzzy regression equation","authors":"Ruey-Chyn Tsaur, H. Wang","doi":"10.1109/FUZZY.1999.794347","DOIUrl":"https://doi.org/10.1109/FUZZY.1999.794347","url":null,"abstract":"The range of a fuzzy regression interval is decided by the collected data and a confidence level, h. Since this confidence level is an overall attitude toward the collected data, if the possibility of occurrence of each datum can be revealed, which can be done by data analysis, then regression analysis should be more precisely done. Therefore, fuzzy goal programming method is proposed in this case to solve a fuzzy regression equation without giving value h. Numerical examples are provided for illustration.","PeriodicalId":344788,"journal":{"name":"FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124449755","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
Common observability Gramian assignment using discrete fuzzy control 基于离散模糊控制的常见可观测性格拉曼分配
FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315) Pub Date : 1900-01-01 DOI: 10.1109/FUZZY.1999.793211
Wen‐Jer Chang
{"title":"Common observability Gramian assignment using discrete fuzzy control","authors":"Wen‐Jer Chang","doi":"10.1109/FUZZY.1999.793211","DOIUrl":"https://doi.org/10.1109/FUZZY.1999.793211","url":null,"abstract":"Subject to an assigned common observability Gramian, the motivation of this paper is to find discrete fuzzy controllers for Takagi-Sugeno fuzzy systems. The approach developed in this paper is based the concept of Parallel Distributed Compensation (PDC). For each rule of the discrete Takagi-Sugeno fuzzy model, it shows how to parametrize the static linear feedback control gains to achieve a certain common observability Gramian for all subsystems.","PeriodicalId":344788,"journal":{"name":"FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121845996","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
Upswing and stabilization control of inverted pendulum and cart system by the SIRMs dynamically connected fuzzy inference model 利用SIRMs动态连接模糊推理模型控制倒立摆和倒立车系统的上升和稳定
FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315) Pub Date : 1900-01-01 DOI: 10.1109/FUZZY.1999.793273
J. Yi, N. Yubazaki, K. Hirota
{"title":"Upswing and stabilization control of inverted pendulum and cart system by the SIRMs dynamically connected fuzzy inference model","authors":"J. Yi, N. Yubazaki, K. Hirota","doi":"10.1109/FUZZY.1999.793273","DOIUrl":"https://doi.org/10.1109/FUZZY.1999.793273","url":null,"abstract":"A fuzzy controller is constructed based on the SIRMs (single input rule modules) dynamically connected fuzzy inference model for the upswing and stabilization control of inverted pendulum and cart systems. When the pendulum locates at the pending domain, the fuzzy controller becomes automatically an upswing controller by using the saturation feature of the membership functions of the pendulum angle. When the pendulum locates at the upright domain, the fuzzy controller then becomes a stabilization controller which realizes smoothly the pendulum angular control and the cart position control in parallel. Simulation results show that the presented fuzzy controller can swing up the pendulum from the pending position to the upright position and then stabilize the whole system in 2.0 seconds.","PeriodicalId":344788,"journal":{"name":"FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121404479","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
Differential games for nonlinear stochastic systems: a fuzzy approach 非线性随机系统的微分对策:一种模糊方法
FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315) Pub Date : 1900-01-01 DOI: 10.1109/FUZZY.1999.790129
Huey-Jian Uang, Bor‐Sen Chen, C. Tseng
{"title":"Differential games for nonlinear stochastic systems: a fuzzy approach","authors":"Huey-Jian Uang, Bor‐Sen Chen, C. Tseng","doi":"10.1109/FUZZY.1999.790129","DOIUrl":"https://doi.org/10.1109/FUZZY.1999.790129","url":null,"abstract":"A fuzzy differential game theory is proposed to solve the N-person (or N-player) nonlinear differential noncooperative and cooperative (team) game problems, which are not easily tackled by the conventional methods. In this study, both noncooperative and cooperative quadratic differential game are considered. First, the nonlinear stochastic system is approximated by a stochastic fuzzy model. Based on the stochastic fuzzy model, a fuzzy observer-based controller is proposed to deal with the noncooperative differential game in the sense of Nash equilibrium strategies or cooperative (team) game in the sense of Pareto-optimal strategies. Using the suboptimal approach, the outcome of the fuzzy differential game for both noncooperative and cooperative game is parameterized in terms of the eigenvalue problem (EVP). Linear matrix inequality (LMI) techniques are employed to solve these problems from the convex optimization perspective.","PeriodicalId":344788,"journal":{"name":"FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121046219","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
An introduction to type-2 TSK fuzzy logic systems 二类TSK模糊逻辑系统简介
FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315) Pub Date : 1900-01-01 DOI: 10.1109/FUZZY.1999.790132
Q. Liang, J. Mendel
{"title":"An introduction to type-2 TSK fuzzy logic systems","authors":"Q. Liang, J. Mendel","doi":"10.1109/FUZZY.1999.790132","DOIUrl":"https://doi.org/10.1109/FUZZY.1999.790132","url":null,"abstract":"Type-2 fuzzy sets allow one to handle linguistic uncertainties. This paper presents the architectures of three type-2 TSK fuzzy logic systems (FLSs). There are three because of the possible type-1 or type-2 natures of the antecedent memberships and parameters of the consequent. The output of a type-2 TSK FLS is a type-1 set (which can be defuzzified), whereas the output of a type-1 TSK FLS is a crisp number (type-0 set). Simulation results are provided that compare the outputs of type-2 and type-1 TSK FLSs.","PeriodicalId":344788,"journal":{"name":"FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123804842","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: 134
Decentralized neuro-fuzzy controller based on input-output linearization for multimachine power systems 基于输入输出线性化的多机电力系统分散神经模糊控制器
FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315) Pub Date : 1900-01-01 DOI: 10.1109/FUZZY.1999.790123
Yo-Ha Hwang, Jang-Hyun Park, Gwi-Tae Park
{"title":"Decentralized neuro-fuzzy controller based on input-output linearization for multimachine power systems","authors":"Yo-Ha Hwang, Jang-Hyun Park, Gwi-Tae Park","doi":"10.1109/FUZZY.1999.790123","DOIUrl":"https://doi.org/10.1109/FUZZY.1999.790123","url":null,"abstract":"Power systems have uncertain dynamics due to various effects such as lightning, severe storms and equipment failure in addition to interconnections between generators. The variation of the effective reactance of a transmission line due to a fault is an example of uncertainty in the system dynamics. Hence a robust controller to deal with these uncertainties is needed. Neuro-fuzzy controllers have been previously successfully applied in many cases where conventional control algorithms are difficult to apply due to lack of adaptivity and robustness. In this paper, we present a decentralized neuro-fuzzy controller for the transient stability and voltage regulation of a multimachine power system under a sudden fault. Simulation results show that satisfactory performance is achieved by the proposed controller.","PeriodicalId":344788,"journal":{"name":"FUZZ-IEEE'99. 1999 IEEE International Fuzzy Systems. Conference Proceedings (Cat. No.99CH36315)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123950696","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
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