Chaos is the most complex steady state behavior known in dynamic systems. In recent years, rapid advances have been observed in research on engineering applications and chaotic systems with integer and fraction orders. Application of chaos is one of the important topics in science and engineering technology. A variety of new chaotic systems have been presented for use in engineering applications.

We invite researchers to contribute original articles to this Special Issue, to show continuing efforts to understand chaos-based engineering applications such as electronic circuit design, robotics, random number generators (true and pseudo), cryptology, data hiding, synchronization, control, communication, modelling, finance, block-chain, big-data, FPGA, microcontrollers, and parameter estimation with nonlinear systems.

The aim of this Special Issue is to promote original research papers in the area of chaos theory and applications to include practical innovations in applied sciences and engineering. The Special Issue aims to publish in as much detail as possible scientific advances in the field of chaos theory and applications with a focus on the practical and theoretical. Original research as well as review articles are welcome.

Potential topics include but are not limited to the following:

• Chaos theory and chaotic systems
• Recent developments in chaos-based engineering applications
• Fractional order chaotic systems
• Design of analog circuits of chaotic systems
• Design of mechanical system for applied chaotic systems
• Deterministic and random vibrations
• Mem-elements-based systems
• Mathematical modeling and chaos analysis in engineering
• Chaos in physical, social, and biological systems
• Applications to biomedical, data security, and control
• Chaos in finance, blockchain and big-data
• Chaos and its dynamics in biological networks
• Chaos-based embedded system applications
• Applications in astrophysics, space, geophysics, theoretical and structural chemistry, biophysics, social systems, power grids, image, and time series processing