Chaotic behavior of crude copper composition time series in the process of matte converting and its predicable time scale

In order to solve the nonlinear mechanism in the process of actual control application of six-degree-of-freedom parallel Stewart platform, the chaos theory was applied in the paper to analyze the acceleration control signal. The research included correlation dimension calculation by use of the G-P method, the maximum Lyapunov coefficient of the acceleration control signal, and Kolmogorov entropies of the acceleration control signal. The results show that the acceleration signals are of chaos characteristics, and there are lots of influencing factors to the acceleration variables.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

hi@scite.ai

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Chaotic behavior of crude copper composition time series in the process of matte converting and its predicable time scale

Cited by 2 publications

References 11 publications

The energy resources system with parametric perturbations and its hyperchaos control

The energy resources system with parametric perturbations and its hyperchaos control

Chaos Analysis on the Acceleration Control Signals of the Piezoelectric Actuators in the Stewart Platform

Contact Info

Product

Resources

About