A systematic classification of neural-network-based control

Abstract

The rich variety of control schemes involving neural networks, works which are proposed in the literature, is organised into a consistent perspective that isolate the various distinct features of each scheme and classifies them in a multi-level structure. The presented structure affords coherent and unambiguous analysis of past and new control schemes, reveals relevant links and gaps as by-products, and serves to better focus future research.<>