I discussed a doctoral thesis at the College of Engineering at the University of Basrah entitled Modeling of Dynamic Nonlinear Systems Using Nonlinear Cellular Networks (CNNs)

The thesis presented by the student Ahmed Mohamed Ali Ali dealt with the modeling of dynamic nonlinear systems by means of nonlinear cellular networks through two different models that generate a two-dimensional network from two chaotic attractors by means of cells (CNNs). In addition to memristor, it is included in CNNs to produce memristor-based CNNs to produce another different application in this thesis.

The thesis aims to prove the possibility of using CNNs to generate and regenerate complex dynamics by introducing a new third-order chaotic system and its complex dynamics expose a two-dimensional network to a chaotic attractor. Where a new biological chaotic model has been proposed that represents the integration of insulin-glucose inside the human body after conducting a long survey paving the way for the systems that represent the internal interaction between (sugar-insulin) inside the human body and how these systems behave in biomedical engineering, analysis and knowledge of their behaviors.

It also aims to find application of the memristor-dependent chaotic system and study the nonlinear behavior in these circuits, as well as a better understanding of the diabetes mellitus (DM) regulating system, including diseases such as hyperinsulinemia, hypoglycemia and Type1 DM to help scientists suggest a treatment DM is better

The thesis concluded that there is a good agreement between the results of the PSpice environment for designing a circuit model (CNNs) and the results of systems simulation. . The simulation results also depicted a good estimation of the memristive position on the basis of CNNs.

The researcher mentions that the response of the chaotic attractor from this system has been transformed into a unique stereotype of three-dimensional shapes that can be considered as a bridge between the electronic circuit and art.