Optimal Chaos Control through reinforcement learning
Gadaleta, Sabino , Gerhard DangelmayrOptimal Chaos Control through reinforcement learning
Chaos, 9, 775, 1999
Abstract: A general purpose chaos control algorithm based on reinforcement learning is
introduced and applied to the control of chaotic systems
and to the targeting problem.
The algorithm does not require any information about the dynamical system or the location
of periodic orbits.
The computationla complexity of the problem is reduced
through approximation of the phase space by means of the Neural-Gas vector quantization
technique.