Lecture Notes in Control and Information Sciences

Poznyak, A.S.; Najim, K.

In the last decade there has been a steadily growing need for and interest in computational methods for solving stochastic optimization problems with or wihout constraints. Optimization techniques have been gaining greater acceptance in many industrial applications, and learning systems have made a significant impact on engineering problems in many areas, including modelling, control, optimization, pattern recognition, signal processing and diagnosis. Learning automata have an advantage over other methods in being applicable across a wide range of functions. Featuring new and efficient learning techniques for stochastic optimization, and with examples illustrating the practical application of these techniques, this volume will be of benefit to practicing control engineers and to graduate students taking courses in optimization, control theory or statistics.

Details

Published by: Springer

Publication Date: 1997-03-12

Format: Paperback

ISBN-13: 9783540761549

DOI: 10.1007/BFb0015102

Dimensions: 235cm x155cm

Pages: 207