Skip to Main Content Chaos - which, to the best of the knowledge
of the authors, is the most complex behavior of deterministic
dynamic systems - is observed in many systems modeled by
nonlinear ordinary or partial differential and difference
equations. The vast amount of chaos literature is mainly devoted
to the analysis and implementation of chaotic dynamics and to
chaos control, i.e., the design of controllers changing the
behavior of an originally chaotic system so that it possesses a
stable equilibrium or limit cycle. Against the mainstream chaos
studies in control, a new field, called “chaotification” (also
called “chaos anti-control” or “chaotization”) has emerged, in
order to exploit chaotic behavior instead of escaping from it.
This is inspired by limited but successful engineering
applications of chaotic dynamics in cryptology, secure
communication, and mixing of liquids. This paper presents a
brief review of chaotic dynamics and chaos control. It also
presents a novel chaotification method, which ca