Book Announcement

[Donald Sofge]

<<<<<---------------------- New Book Announcement ---------------------->>>>

HANDBOOK OF INTELLIGENT CONTROL:  
Neural, Fuzzy, and Adaptive Approaches

Edited by David A. White and Donald A. Sofge

Handbook of Intelligent Control provides a hands-on approach to 
integrating intelligent control approaches with existing control 
architectures for the nonlinear control of complex multivariate systems.  
It is an attempt by leading industry and academic researchers to present 
the current state-of-the-art developments in intelligent control in a highly 
readable, often tutorial format such that many of the techniques 
described within may readily implemented by the reader.  The goals of 
this approach are:
%	To provide firm mathematical and theoretical foundations for 
current intelligent control methods
%	To demonstrate how these methods may be effectively combined 
with existing control practices
%	To provide overviews and extensive bibliographic references to 
much current work in this field
%	To provide examples of real-world applications in robotics, 
aerospace, chemical engineering, and manufacturing which have served as 
a driving force behind new innovations in intelligent control.

Discussions concerning these applications are provided for two main 
reasons: to demonstrate how existing intelligent control techniques may 
be applied to real-world problems, and to provide challenging real-world 
problems which serve as impetus for new innovations in intelligent 
control and for which intelligent control solutions may provide the only 
solutions. 
	This book is an outgrowth of three major workshops held under the 
National Science Foundation Intelligent Control Initiative.  The chapters 
included in this volume are implementations and extensions of creative 
new  ideas discussed at these workshops.  The application and integration 
of neural, fuzzy, and  adaptive methods into "real-world" engineering 
problems makes this an ideal book for practicing engineers, as well as 
graduate and academic researchers.    This volume contains the following 
chapters:

Foreword  -	Paul Werbos, Elbert Marsh,  Kishan Baheti,  Maria Burka, 
and Howard Moraff

Editors' Preface		Donald Sofge and David White

Introduction to Intelligent Control

1	Intelligent Control:  An Overview and Evaluation  		
	Karl 
strom and Thomas McAvoy

2	An Introduction to Connectionist Learning Control Systems	
	Walter Baker and Jay Farrell

3	Neurocontrol and Supervised Learning:  An Overview and Evaluation  
	Paul Werbos

Conventional Control and Intelligent Approaches

4	Fuzzy Logic in Control Engineering
	Reza Langari, Hamid Berenji, and Lotfi Zadeh

5	Adaptive Control of Dynamical Systems Using Neural Networks 
	K.S. Narendra

6	Optimal Control:  A Foundation for Intelligent Control	
	David White and Michael Jordan

7	Development and Application of CMAC Neural Network-based 
Control
	Gordan Kraft, Tom Miller, and D. Dietz

Applications of Intelligent Control

8	Artificial Neural Networks in Manufacturing and Process Control
	Judy Franklin and David White

9	Applied Learning-Optimal Control for Manufacturing		
	Donald Sofge and David White

10	Neural Networks, System Identification, and Control in the Chemical 
Process Industries
	Paul Werbos, Thomas McAvoy, and Ted Su

11	Flight, Propulsion, and Thermal Control of Advanced Aircraft and 
Hypersonic Vehicles
	David White, Albion Bowers, Ken Iliff, Greg Noffz, Mark Gonda, and 
John Menousek

Advances in System Identification, Optimization and Learning Control 
Theory

12	Reinforcement Learning and Adaptive Critic Methods		
	Andrew Barto

13	Approximate Dynamic Programming for Real-time Control and 
Neural Modeling 	
	Paul Werbos

14	The Role of Exploration in Learning Control  		
	Sebastian Thrun

Publication Date:		September 1992
568 pages			Price:	$59.95

Available from:			Van Nostrand Reinhold
				VNR Order Processing
				P.O. Box 668
				Florence, Kentucky 41022-0668
				Call Toll-free:  1 (800) 926-2665