New Book Announcement

[Dimitris.Dracopoulos@brunel.ac.uk]

Just published:

`Evolutionary Learning Algorithms for Nonlinear Adaptive Control''

                by Dimitris C. Dracopoulos
 
Springer Verlag, Perspectives in Neural Computing Series, 
Series Editor: J. Taylor, August 1997, ISBN: 3-540-76161-6, GBP24.99



Neural networks and evolutionary algorithms are constantly expanding
their field of application to a variety of new domains. One area of
particular interest is their applicability to control and adaptive
control systems: the limitations of the classical control theory
combined with the need for greater robustness, adaptivity and
``intelligence'' make neurocontrol and evolutionary control
algorithms an attractive (and in some cases, the only) alternative.

After an introduction to neural networks and genetic algorithms,
this volume describes in detail how neural networks and evolutionary
techniques (specifically genetic algorithms and genetic programming)
can be applied to the adaptive control of complex dynamic systems
(including chaotic ones). A number of examples are presented and
useful tips are given for the application of the techniques
described. The fundamentals of dynamic systems theory and classical
adaptive control are also given.



More details can be found in: 

  http://www.brunel.ac.uk/~csstdcd/learning_control_book.html