Neural Networks in Control Systems: Kumpati S. Narendra and Sai-Ming Li
Control theory is an interdisciplinary field elaborating on principles and models that apply to systems in general, irrespective of the specific elements involved. The past five decades have witnessed major advances in control theory made through a combination of mathematics, modeling, computation, and experimentation. During the past 10 years there has also been an explosive growth in pure and applied research related to neural networks. In this chapter we show how the concepts and methods developed in these two areas can be suitably combined for the control of complex dynamical systems.