| 书目名称 | LMI Approach to Analysis and Control of Takagi-Sugeno Fuzzy Systems with Time Delay |
| 编辑 | Chong Lin,Qing-Guo Wang,Yong He |
| 视频video | |
| 概述 | Up-to-date developments in the analysis and control area for nonlinear time-delay systems using T-S fuzzy model approach.Comprehensive monograph on T-S fuzzy systems with time delay |
| 丛书名称 | Lecture Notes in Control and Information Sciences |
| 图书封面 |  |
| 描述 | SinceinitiatedbyLot?A. Zadehin1965,fuzzysettheoryhastriggeredacons- erably large body of areas to blossom. A fuzzy system is, in a very broad sense, anyfuzzylogic-basedsystemwherefuzzylogiccanbeusedeither asthebasisfor the representation of di?erent forms of system knowledge or the model for the interactions and relationships among the system variables. Fuzzy systems have proven to be an important tool for modeling complex systems for which, due to complexity or imprecision, classical tools are unsuccessful. There have been diverse ?elds of applications of fuzzy technology from medicine to management, from engineering to behavioral science, from vehicle control to computational linguistics, and so on. Fuzzy modeling is a conjunction to understand the s- tem’s behavior and build useful mathematical models. Di?erent types of fuzzy models have been proposed in the literature, among which the Takagi-Sugeno (T-S) fuzzy model is a rule-based one suitable for the accurate approximation and identi?cation of a wide class of nonlinear systems. There has been an - creasing amount of work on analysis and synthesis of fuzzy systems based on T-S fuzzy models. Since 2000, T-S fuzzy model approach |
| 出版日期 | Book 2007 |
| 关键词 | Extension; Fuzzy Systems; Takagi-Sugeno Fuzzy Systems; Takagi-Sugeno Fuzzy Systems with Time Delay; Trac |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-540-49554-3 |
| isbn_softcover | 978-3-540-49552-9 |
| isbn_ebook | 978-3-540-49554-3Series ISSN 0170-8643 Series E-ISSN 1610-7411 |
| issn_series | 0170-8643 |
| copyright | Springer-Verlag Berlin Heidelberg 2007 |
发表于 2025-3-21 18:20:54
