Go back
Stable Adaptive Neural Network Control(1st Edition)
Authors:
S.S. Ge ,C.C. Hang ,T.H. Lee ,Tao Zhang
Cover Type:Hardcover
Condition:Used
In Stock
Include with your book
Free shipping: April 13, 2024Popular items with books
Access to 3 Million+ solutions
Free ✝
Ask 10 Questions from expert
200,000+ Expert answers
✝ 7 days-trial
Total Price:
$0
List Price: $23.14
Savings: $23.14(100%)
Book details
ISBN: 1441949321, 978-1441949325
Book publisher: Springer
Get your hands on the best-selling book Stable Adaptive Neural Network Control 1st Edition for free. Feed your curiosity and let your imagination soar with the best stories coming out to you without hefty price tags. Browse SolutionInn to discover a treasure trove of fiction and non-fiction books where every page leads the reader to an undiscovered world. Start your literary adventure right away and also enjoy free shipping of these complimentary books to your door.
Stable Adaptive Neural Network Control 1st Edition Summary: Recent years have seen a rapid development of neural network control tech niques and their successful applications. Numerous simulation studies and actual industrial implementations show that artificial neural network is a good candidate for function approximation and control system design in solving the control problems of complex nonlinear systems in the presence of different kinds of uncertainties. Many control approaches/methods, reporting inventions and control applications within the fields of adaptive control, neural control and fuzzy systems, have been published in various books, journals and conference proceedings. In spite of these remarkable advances in neural control field, due to the complexity of nonlinear systems, the present research on adaptive neural control is still focused on the development of fundamental methodologies. From a theoretical viewpoint, there is, in general, lack of a firmly mathematical basis in stability, robustness, and performance analysis of neural network adaptive control systems. This book is motivated by the need for systematic design approaches for stable adaptive control using approximation-based techniques. The main objec tives of the book are to develop stable adaptive neural control strategies, and to perform transient performance analysis of the resulted neural control systems analytically. Other linear-in-the-parameter function approximators can replace the linear-in-the-parameter neural networks in the controllers presented in the book without any difficulty, which include polynomials, splines, fuzzy systems, wavelet networks, among others. Stability is one of the most important issues being concerned if an adaptive neural network controller is to be used in practical applications.
Customers also bought these books
Frequently Bought Together
Top Reviews for Books
Danielle Gathman
( 4 )
"Delivery was considerably fast, and the book I received was in a good condition."