| 书目名称 | Type-2 Fuzzy Logic |
| 副标题 | Uncertain Systems’ M |
| 编辑 | Rómulo Antão |
| 视频video | |
| 概述 | Presents a simple and didactic introduction to the principles of Type-2 Fuzzy Logic and extends them to state-of-the art methods in model-based control techniques.Uses application scenarios based on p |
| 丛书名称 | Nonlinear Physical Science |
| 图书封面 |  |
| 描述 | .This book focuses on a particular domain of Type-2 Fuzzy Logic, related to process modeling and control applications. It deepens readers’understanding of Type-2 Fuzzy Logic with regard to the following three topics: using simpler methods to train a Type-2 Takagi-Sugeno Fuzzy Model; using the principles of Type-2 Fuzzy Logic to reduce the influence of modeling uncertainties on a locally linear n-step ahead predictor; and developing model-based control algorithms according to the Generalized Predictive Control principles using Type-2 Fuzzy Sets. .. Throughout the book, theory is always complemented with practical applications and readers are invited to take their learning process one step farther and implement their own applications using the algorithms’ source codes (provided). As such, the book offers avaluable referenceguide for allengineers and researchers in the field ofcomputer science who are interested in intelligent systems, rule-based systems and modeling uncertainty.. |
| 出版日期 | Book 2017 |
| 关键词 | Model Predictive Control; System Modeling; Takagi-Sugeno Fuzzy Logic Systems; Generalized Predictive Co |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-981-10-4633-9 |
| isbn_softcover | 978-981-13-5187-7 |
| isbn_ebook | 978-981-10-4633-9Series ISSN 1867-8440 Series E-ISSN 1867-8459 |
| issn_series | 1867-8440 |
| copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor |
发表于 2025-3-21 16:05:24
