Nonlinear dynamics as an engine of computation
Control of chaos teaches that control theory can tame the complex, random-like behaviour of chaotic systems. This alliance between control methods and physics—cybernetical physics—opens the door to many applications, including dynamics-based computing. In this article, we introduce nonlinear dynamics and its rich, sometimes chaotic behaviour as an engine of computation. We review our work that has demonstrated how to compute using nonlinear dynamics. Furthermore, we investigate the interrelationship between invariant measures of a dynamical system and its computing power to strengthen the bridge between physics and computation.
Kia, Behnam; Lindner, John F.; and Ditto, William L., "Nonlinear dynamics as an engine of computation" (2017). Philosophical Transactions A, 375(2088), pii: 20160222-. 10.1098/rsta.2016.0222. Retrieved from https://openworks.wooster.edu/facpub/216