Newsgroups: bit.listserv.csg-l
Date:         Wed, 18 Nov 1992 07:29:22 EST
From:         "Bruce E. Nevin" <bnevin@CCB.BBN.COM>
Subject:      Handbook of Intelligent Control

----BEGINNING OF FORWARDED MESSAGES----
Received: from LABS-N.BBN.COM by CCB.BBN.COM ; 17 Nov 92 16:56:05 EST
Received: from KARIBA.BBN.COM by LABS-N.BBN.COM id aa19686; 17 Nov 92 16:56 EST
To: neural-people@BBN.COM, machine-learning@BBN.COM
Subject: [sofge@ai.mit.edu: Book Announcement]
From: aboulang@BBN.COM
Reply-to: aboulanger@BBN.COM
Date: Tue, 17 Nov 92 16:50:55 EST
Source-Info:  From (or Sender) name not authenticated.

From: Donald Sofge <sofge@ai.mit.edu>
Date: Mon, 16 Nov 92 19:25:25 EST
To: connectionists@cs.cmu.edu
Subject: Book Announcement

<<<<<---------------------- 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


----END OF FORWARDED MESSAGES----

This put me in mind of what the review section of the _Journal of
Living Control Systems_ might look like.

        Bruce
        bn@bbn.com
Comments: Gated by NETNEWS@AUVM.AMERICAN.EDU