A survey of neural networks applications in automatic control

This paper is a survey of recent literature in neural networks applications in the field of automatic control. It is now generally accepted in the field that for nonlinear, imperfectly or partially known, and complicated systems, neural networks offer some of the most effective control techniques. In this paper, no attempt has been made to provide mathematical or algorithmic details of the various approaches that are being proposed in the literature; instead, general outlines of some of the techniques are given. The survey is not presented in a chronological order. It is not an exhaustive survey (but an effort has been made to collect publications from different types of journals). Many authors and groups of authors in the field have numerous publications; for each group, we have cited only one or two representative articles. The goal of this paper is to serve as a resource for new researchers in the field.