2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)最新文献_第4页

Model Predictive Control for discrete fuzzy systems via iterative quadratic programming 离散模糊系统的迭代二次规划模型预测控制

2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2014-07-06 DOI: 10.1109/FUZZ-IEEE.2014.6891633

C. Ariño, Emilio Pérez, A. Querol, A. Sala

引用次数: 7

Globally fuzzy model based adaptive variable structure control for a class of nonlinear time-varying systems 一类非线性时变系统的全局模糊模型自适应变结构控制

2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2014-07-06 DOI: 10.1109/FUZZ-IEEE.2014.6891762

C. Hwang

{"title":"Globally fuzzy model based adaptive variable structure control for a class of nonlinear time-varying systems","authors":"C. Hwang","doi":"10.1109/FUZZ-IEEE.2014.6891762","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2014.6891762","url":null,"abstract":"In this paper, a nonlinear time-varying dynamic system is first approximated by N fuzzy-based linear state-space subsystems. To track a trajectory dominant by a specific frequency, the reference models with desired amplitude and phase features are established by the same fuzzy sets of the system rule. It is known that linear state feedback control for each fuzzy subsystem is inferior to that using nonlinear feedback control. It is also known that most of the fuzzy adaptive controls must be in a specific domain for the function approximation. To overcome the above shortcomings, we propose a globally fuzzy model based adaptive variable structure control with a switching function to determine when the learning law should be used. As the norm of the switching surface is inside of a defined set, the learning law starts; simultaneously, as it is outside of the other set which is larger than the previous defined set, the learning law stops. In this situation, the proposed control is verified to converge into a convex set, which is smaller than the set for the function approximation. For the purpose of smoothing the discontinuity of control input, a transition between outside and inside of approximated set is also assigned. Under these circumstances, the proposed control can automatically tune as a control without or with the learning compensation of uncertainties. Finally, the stability of the overall system is verified by Lyapunov stability theory.","PeriodicalId":413342,"journal":{"name":"2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127753528","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

Observer-based indirect adaptive supervisory control for unknown time delay system 基于观测器的未知时滞系统间接自适应监督控制

2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2014-07-06 DOI: 10.1109/FUZZ-IEEE.2014.6891631

Ting-Ching Chu, Tsung-Chih Lin, V. Balas

引用次数: 2

Time series grouping on the basis of F1-transform 基于f1变换的时间序列分组

2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2014-07-06 DOI: 10.1109/FUZZ-IEEE.2014.6891701

A. Romanov, I. Perfilieva, N. Yarushkina

引用次数: 5

Automatic tuning of PID controllers in engine control units by means of local model networks and evolutionary optimization 基于局部模型网络和进化优化的发动机控制单元PID控制器自动整定

2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2014-07-06 DOI: 10.1109/FUZZ-IEEE.2014.6891676

C. Mayr, Nikolaus Euler-Rolle, S. Jakubek

引用次数: 3

An introduction to tunable equivalence fuzzy associative memories 介绍可调等效模糊联想记忆

2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2014-07-06 DOI: 10.1109/FUZZ-IEEE.2014.6891851

E. Esmi, P. Sussner, S. Sandri

引用次数: 0

Fuzzy multi-objective reliability-redundancy allocation problem 模糊多目标可靠性冗余分配问题

2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2014-07-06 DOI: 10.1109/FUZZ-IEEE.2014.6891889

Zubair Ashraf, Pranab K. Muhuri, Q. Lohani, Rahul Nath

{"title":"Fuzzy multi-objective reliability-redundancy allocation problem","authors":"Zubair Ashraf, Pranab K. Muhuri, Q. Lohani, Rahul Nath","doi":"10.1109/FUZZ-IEEE.2014.6891889","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2014.6891889","url":null,"abstract":"Reliability is the measure of the result of the quality of the system over a long run. The reliability-redundancy allocation problem (RRAP) aims to ensure high systems reliability in the presence of optimally redundant systems components. This is one of the most important design considerations for the systems designers. Several researchers have addressed this important issue during last few decades. However, due to the embedded uncertainty in the parameters of the system components, reliability as well as the costs of the whole system fits very well to be modeled as fuzzy quantity. We therefore modeled this problem as a fuzzy multi-objective optimization problem (MORRAP) that is addressed using the popular multi-objective evolutionary algorithm, NSGA-II (non-dominated sorting genetic algorithm-II). We have considered the based MORRAP with fuzzy type-2 uncertainty. As far as we know, no research has been reported where MORRAP was considered under type-2 fuzzy uncertainty. A typical numerical example is included and results are compared showing that our approach outperforms other recently reported results.","PeriodicalId":413342,"journal":{"name":"2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132214224","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: 27

Construction of slope-consistent trapezoidal interval type-2 fuzzy sets for simplifying the perceptual reasoning method 构造斜坡一致梯形区间型2模糊集简化感知推理方法

2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2014-07-06 DOI: 10.1109/FUZZ-IEEE.2014.6891626

Chengdong Li, J. Yi, Guiqing Zhang, Ming Wang

{"title":"Construction of slope-consistent trapezoidal interval type-2 fuzzy sets for simplifying the perceptual reasoning method","authors":"Chengdong Li, J. Yi, Guiqing Zhang, Ming Wang","doi":"10.1109/FUZZ-IEEE.2014.6891626","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2014.6891626","url":null,"abstract":"Computing with words (CWW) proposed by Zadeh is an useful paradigm to mimic the human decision-making ability in a wide variety of physical and mental tasks. To realize CWW, Mendel proposed a specific architecture called perceptual computer, in which interval type-2 (IT2) fuzzy sets (FSs) and perceptual reasoning (PR) method are adopted. The PR method has been proved to have good properties (e.g. it can output intuitive IT2 FSs) and has found several applications in decision making. In this study, we focus on simplifying this method by avoiding its a-cuts based inference process. We first present a novel property for the inference of the PR method. We observe from the property that, if the IT2 FSs in the consequents of the IF-THEN rules are trapezoidal and have consistent slopes, then the output IT2 FS will be strictly trapezoidal and can be determined easily. In this case, the computation of the PR method can be simplified. To achieve such simplification, the trapezoidal IT2 FSs without consistent slopes should be approximated by the slope-consistent trapezoidal IT2 FSs. This issue is also studied in this paper by solving the constrained linear-quadratic optimization problem. At last, examples are given. The simplified PR method will be useful when the CWW models are utilized in the modeling and/or control problems of complex systems or multivariable dynamic systems.","PeriodicalId":413342,"journal":{"name":"2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129986746","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

Consistency based estimation of fuzzy linguistic preferences. The case of reciprocal intuitionistic fuzzy preference relations 基于一致性的模糊语言偏好估计。互惠直觉模糊偏好关系的案例

2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2014-07-06 DOI: 10.1109/FUZZ-IEEE.2014.6891556

F. Chiclana, Jian Wu, E. Herrera-Viedma

{"title":"Consistency based estimation of fuzzy linguistic preferences. The case of reciprocal intuitionistic fuzzy preference relations","authors":"F. Chiclana, Jian Wu, E. Herrera-Viedma","doi":"10.1109/FUZZ-IEEE.2014.6891556","DOIUrl":"https://doi.org/10.1109/FUZZ-IEEE.2014.6891556","url":null,"abstract":"The decision-making assumption of all experts being able to express their preferences on all available alternatives of a decision-making problem might be considered unrealistic. This is specially true when the number of alternatives is considerable high and/or when sources of information are conflicting and dynamic. Thus, the presence of incomplete information, which is not equivalent to low quality information, is worth investigation and its processing within decision-making processes desirable. A consistency based approach to deal with incomplete fuzzy linguistic preferences is the focus of this contribution. Consistency is considered here as linked to the transitivity of preferences, and in particular to Tanino's multiplicative transitivity property of reciprocal fuzzy preference relations. The first result presented is the formal modelling and representation of Tanino's multiplicative transitivity property to the case of fuzzy linguistic preference relations. This is done via Zadeh's extension principle and the representation theorem of fuzzy sets. The second result derives the multiplicative transitivity property of reciprocal intuitionistic fuzzy preference relations, which can be isomorphically mapped to a particular type of linguistic preference relation: reciprocal interval-valued fuzzy preference relations. The third result is the computation of the consistency based estimated reciprocal intuitionistic fuzzy preference values using an indirect chain of alternatives, which can be used to address incomplete information in decision-making problems with this type of preference relations.","PeriodicalId":413342,"journal":{"name":"2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)","volume":"301 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-07-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134428270","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

FCM-type fuzzy co-clustering by K-L information regularization 基于K-L信息正则化的fcm型模糊共聚类

2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) Pub Date : 2014-07-06 DOI: 10.1109/FUZZ-IEEE.2014.6891747

Katsuhiro Honda, Shunnya Oshio, A. Notsu

引用次数: 23