Fuzzy Neural Networks for Real Time Control Applications Concepts, Modeling and Algorithms for Fast Learning Erdal Kayacan and Mojtaba Ahmadieh Khanesar
This book presents the basics of fuzzy neural networks, in particular type-2 fuzzy neural networks, for the identification and learning control of real time systems. KEY FEATURES * Parameter update algorithms for type-1 and type-2 fuzzy neural networks and their stability analysis * Contains algorithms that are applicable to real time systems * Introduces fast and simple adaptation rules for type-1 and type-2 fuzzy neural networks * Number of case studies both in identification and control * Provides MATLAB(r) codes for some algorithms in the book http://store.elsevier.com/Fuzzy-Neural-Networks-for-Real-Time-Control-Applications/Erdal-Kayacan/isbn-9780128026878/ ________________________________ CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its contents. Towards a sustainable earth: Print only when necessary. Thank you.
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