Abstract

A review of W. Thomas Miller, III, Richard S. Sutton, and Paul J. Werbos Neural Networks for Control. Cambridge, Massachusetts: The MIT Press. 1990. pp. 524. This multi-disciplinary volume concerns the use of artificial neural networks in controlling dynamical processes. As used here 'dynamical' describes processes, such as certain chemical reaction systems, robots, or manufacturing plants, whose operation is governed by known or unknown non-linear models and which, therefore, are subject to certain types of problems related to unpredictability and chaotic performance. Artificial neural networks are mathematical models whose components emulate the function of biological nervous systems.