Adaptive Control Using Neural Networks

This paper exploits the adaptive transformational or mapping capabilities of neural networks in the design of a neural controller for dynamic systems. The controller makes no assumptions on the dynamics of the plant, only weak assumptions on the structures of the plant. Several controller architectures are presented with simulations demonstrating their ability to compensate unstable, non-linear, or time-varying systems.