HOW DO YOU TAKE A SPACE AND TURN IT INTO AN EXPERIENCE?
Drawing on inspiration from the documentary Happy and the Oak Park Public […]
Y. H. Kim
Young Ho Kim
F. L. Lewis
Hello, I'm an eBook!
ATTENTION: This item is an eBook. It can be read on iOS, Android, MAC and PC's with a supported eReader. It is not a physical book. eBooks are available via download immediately after you've checked out.
Shipped from other seller
This book bridges the gap between feedback control and AI. It provides design techniques for "high-level" neural-network feedback-control topologies that contain servo-level feedback-control loops as well as AI decision and training at the higher levels. Several advanced feedback topologies containing neural networks are presented, including "dynamic output feedback", "reinforcement learning" and "optimal design", as well as a "fuzzy-logic reinforcement" controller. The control topologies are intuitive, yet are derived using sound mathematical principles where proofs of stability are given so that closed-loop performance can be relied upon in using these control systems. Computer-simulation examples are given to illustrate the performance.
Save up to 33% at the Bargain Bin. Learn more »
Gift Certificate = Happy Friend + Books donated to families in need Make Someone Happy »
We match every book you purchase with a book donation. Learn more »
Sign up now to get news, sales and special promotions!
© Better World Books (BetterWorldBooks.com)