Chaos may lead to instability, extreme sensitivity and performance reduction in dynamic systems. Therefore it is unwanted in many cases. Due to these undesirable characteristics of chaos in practical systems, it is important to recognize such a chaotic behavior. In this paper the chaotic behavior of the airflow in case of an ordinary ventilated room is researched. Computational chaotic behavior...

this paper presents a model predictive control (mpc) approach for production and inventory control systems. model predictive control previously has been successfully applied to supply chain problems; however most systems that have been proposed so far possess no information on future demand. the incorporation of a forecasting methodology in an mpc framework can promote the efficiency of control...

A bstract Chaotic scattering is a manifestation of transient chaos realized by the with non-integrable potential. When initial position taken in potential, particle initially exhibits chaotic motion, but escapes outside after certain period time. The time to stay inside potential can be seen as lifetime and this escape process may regarded kind instability. type exists Banks-Fischler-Shenker-Su...

This paper proposes a novel chaotic reaction-diffusion model of cellular tumor growth and metastasis. The model is based on the multiscale diffusion cancer-invasion model (MDCM) and formulated by introducing strong nonlinear coupling into the MDCM. The new model exhibits temporal chaotic behavior (which resembles the classical Lorenz strange attractor) and yet retains all the characteristics of...

Siek, M. and Solomatine, D.P., 2011. Real-time data assimilation for chaotic storm surge model using NARX neural network. Journal of Coastal Research, SI 64 (Proceedings of the 11th International Coastal Symposium), 1189 – 1194. Szczecin, Poland, ISSN 0749-0208 This paper introduces a real-time data assimilation technique where Nonlinear AutoRegressive with eXogenous inputs (NARX) neural networ...