Using Artificial Neural Networks (ANN) to Control Chaos

TL;DR

This paper explores using artificial neural networks to control chaotic systems, demonstrating that ANNs can stabilize chaotic circuits like the Chua circuit and potentially improve energy extraction from unstable resources.

Contribution

It introduces a novel application of ANNs for chaos control in electronic circuits, validated through simulation of the Chua circuit.

Findings

ANN successfully stabilized the chaotic Chua circuit

The technique can stabilize hard-to-control electronic systems

Potential for improved energy efficiency in chaotic systems

Abstract

Controlling Chaos could be a big factor in getting great stable amounts of energy out of small amounts of not necessarily stable resources. By definition, Chaos is getting huge changes in the system's output due to unpredictable small changes in initial conditions, and that means we could take advantage of this fact and select the proper control system to manipulate system's initial conditions and inputs in general and get a desirable output out of otherwise a Chaotic system. That was accomplished by first building some known chaotic circuit (Chua circuit) and the NI's MultiSim was used to simulate the ANN control system. It was shown that this technique can also be used to stabilize some hard to stabilize electronic systems.