Fuzzy Reinforcement Learning Based Controller Design
Lyapunov Theory based Reinforcement Learning Controller for Non Linear Systems
This book aims at providing basic introduction about reinforcement learning (RL), application of RL as controller and introducing stability in RL. Q-learning is most widely used RL technique and is explained in detail in this book. In RL, ¿Curse of Dimensionality¿ is a major issue and author has used fuzzy inference system to handle this problem resulting in Fuzzy Q learning. Reinforcement learning works on exploitation and exploration policy and hence RL based controller may face stability issue. The main emphasis of this book is to introduce stability in RL based controller using Lyapunov theory. The proposed RL based controllers are simula…
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Produktdetails
- ISBN: 978-620-4-73201-5
- EAN: 9786204732015
- Produktnummer: 38283000
- Verlag: LAP Lambert Academic Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2021
- Seitenangabe: 56 S.
- Masse: H22.0 cm x B15.0 cm x D0.3 cm 102 g
- Abbildungen: Paperback
- Gewicht: 102
Über den Autor
Abhishek Kumar completed his Phd in Instrumentation & Control Engg. from University of Delhi (India), M.E. in Power Engg. from Jadavpur University (India) and B.Tech in Electronics & Comm. Engg. from UPTU (India). He has been in the field of teaching and research for more than 8 years. He has published and reviewed various research articles.
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