نتایج جستجو برای: t s fuzzy systems

تعداد نتایج: 2463986  

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه تبریز - دانشکده ریاضی 1391

مقدمه: درعلم آمارسنتی همه پارامترها بوسیله مدلهای ریاضی ومشاهده های تجربی تعریف می شد. بعضی وقتها به نظر می رسد چنین فرضهایی برای مسائل زندگی روزمره سختگیرانه باشد.مخصوصا درصورتیکه ما با داده های زبان شناسی یا احتیاجاتی که صریح نباشند سرکارداشته باشیم. برای اینکه این مشکل را ازبین ببریم ازروش فازی استفاده می کنیم. تعریف مسئله: درمرحله اول از تحقیق درباره انواع مختلف از پدیده(زیستی-فنی-فیزیک...

Journal: :CoRR 2010
Ali Akbar Kiaei Saeed Bagheri Shouraki Seyed Hossein Khasteh Mahmoud Khademi

Active Learning Method (ALM) is a soft computing method used for modeling and control based on fuzzy logic. All operators defined for fuzzy sets must serve as either fuzzy S-norm or fuzzy T-norm. Despite being a powerful modeling method, ALM does not possess operators which serve as S-norms and T-norms which deprive it of a profound analytical expression/form. This paper introduces two new oper...

Journal: :IEEE Trans. Systems, Man, and Cybernetics, Part A 2004
Zidong Wang Daniel W. C. Ho Xiaohui Liu

Takagi–Sugeno (T-S) fuzzy models are now often used to describe complex nonlinear systems in terms of fuzzy sets and fuzzy reasoning applied to a set of linear submodels. In this note, the T-S fuzzy model approach is exploited to establish stability criteria for a class of nonlinear stochastic systems with time delay. Sufficient conditions are derived in the format of linear matrix inequalities...

2008
AGUSTÍN JIMÉNEZ BASIL M.AL-HADITHI

A novel optimal method is developed to improve the identification and estimation of Takagi-Sugeno (TS) fuzzy model. The idea comes from the fact that the main drawback of T-S model is that it can not be applied when the membership functions are overlapped by pairs. This limits the application of the T-S model because this type of membership function has been widely used in the stability and con...

2015
Minxiu Yan Xiaofan Zheng Zhuyin Xue

A static output feedback fuzzy (SOFF) control approach is proposed in order to deal with the problem of synchronization of two identical hyperchaotic systems. The T-S fuzzy model with its small number of fuzzy IF-THEN rules is employed to represent many typical nonlinear hyperchaotic systems. Based on the T-S fuzzy hyperchaotic models and Lyapunov stability theory, a necessary condition for the...

2009
Arshia Azam

The advantage of solving the complex nonlinear problems by utilizing fuzzy logic methodologies is that the experience or expert’s knowledge described as a fuzzy rule base can be directly embedded into the systems for dealing with the problems. The current limitation of appropriate and automated designing of fuzzy controllers are focused in this paper. The structure discovery and parameter adjus...

2004
E. D. Petajan N. M. Brooke B. J. Bischoff

Takagi–Sugeno (T-S) fuzzy models are now often used to describe complex nonlinear systems in terms of fuzzy sets and fuzzy reasoning applied to a set of linear submodels. In this note, the T-S fuzzy model approach is exploited to establish stability criteria for a class of nonlinear stochastic systems with time delay. Sufficient conditions are derived in the format of linear matrix inequalities...

Journal: :Neurocomputing 2015
Yuanheng Zhu Dongbin Zhao Derong Liu

In this paper, a type of fuzzy system structure is applied to heuristic dynamic programming (HDP) algorithm to solve nonlinear discrete-time Hamilton–Jacobi–Bellman (DT-HJB) problems. The fuzzy system here is adopted as a 0-order T–S fuzzy system using triangle membership functions (MFs). The convergence of HDP and approximability of the multivariate 0-order T–S fuzzy system is analyzed in this...

Journal: :IEEE Trans. Fuzzy Systems 2008
Bing Chen Xiaoping Liu Shaocheng Tong Chong Lin

This paper discusses the stabilization of Takagi–Sugeno (T–S) fuzzy systems with bounded and time-varying input delay. The robust stabilization via state feedback is first addressed, and delay-dependent stabilization conditions are proposed in terms of LMIs. Observer-based feedback stabilization is also discussed for T–S fuzzy input delay systems without uncertainties. A separate design princip...

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