𝔖 Scriptorium
✦   LIBER   ✦

📁

Fuzzy Control and Identification

✍ Scribed by John H. Lilly


Publisher
Wiley
Year
2010
Tongue
English
Leaves
249
Edition
1
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


This book gives an introduction to basic fuzzy logic and Mamdani and Takagi-Sugeno fuzzy systems. The text shows how these can be used to control complex nonlinear engineering systems, while also also suggesting several approaches to modeling of complex engineering systems with unknown models.Finally, fuzzy modeling and control methods are combined in the book, to create adaptive fuzzy controllers, ending with an example of an obstacle-avoidance controller for an autonomous vehicle using modus ponendo tollens logic.


📜 SIMILAR VOLUMES


Fuzzy Control and Identification
✍ John H. Lilly 📂 Library 📅 2010 🏛 Wiley 🌐 English

This book gives an introduction to basic fuzzy logic and Mamdani and Takagi-Sugeno fuzzy systems. The text shows how these can be used to control complex nonlinear engineering systems, while also also suggesting several approaches to modeling of complex engineering systems with unknown models.Finall

Fuzzy Logic, Identification and Predicti
✍ Jairo Espinosa Ph.D. Eng.M.Sc., Prof.Dr.Ir. Joos Vandewalle, Prof.Dr.Ir. Vincent 📂 Library 📅 2005 🏛 Springer-Verlag London 🌐 English

<p><P>The complexity and sensitivity of modern industrial processes and systems increasingly require adaptable advanced control protocols. These controllers have to be able to deal with circumstances demanding "judgement" rather than simple "yes/no", "on/off" responses, circumstances where an imprec

Fuzzy System Identification and Adaptive
✍ Ruiyun Qi, Gang Tao, Bin Jiang 📂 Library 📅 2019 🏛 Springer International Publishing 🌐 English

<p><p>This book provides readers with a systematic and unified framework for identification and adaptive control of Takagi–Sugeno (T–S) fuzzy systems. Its design techniques help readers applying these powerful tools to solve challenging nonlinear control problems. The book embodies a systematic stud

Fuzzy logic, identification, and predict
✍ Jairo Jose Espinosa Oviedo, Joos P.L. Vandewalle, Vincent Wertz 📂 Library 📅 2004 🏛 Springer 🌐 English

<P>The complexity and sensitivity of modern industrial processes and systems increasingly require adaptable advanced control protocols. These controllers have to be able to deal with circumstances demanding ГґjudgementГ¶ rather than simple Гґyes/noГ¶, Гґon/offГ¶ responses, circumstances where an imp

Fuzzy Model Identification for Control
✍ János Abonyi (auth.) 📂 Library 📅 2003 🏛 Birkhäuser Basel 🌐 English

<p>Overview Since the early 1990s, fuzzy modeling and identification from process data have been and continue to be an evolving subject of interest. Although the application of fuzzy models proved to be effective for the approxima­ tion of uncertain nonlinear processes, the data-driven identificatio