An $n$-Dimensional Chaotic System Generation Method Using Parametric Pascal Matrix

When high-dimensional chaotic systems are applied to many practical applications, they are required to have robust and complex hyperchaotic behaviors. In this article, we propose a novel $n$ D chaotic system construction method using the Pascal-matrix theory. First, a parametric Pascal matrix is constructed. Then, an $n$ D chaotic system can be generated by using the parametric Pascal matrix as the parameter matrix of the system. Theoretical analysis shows that the generated $n$ D chaotic systems have robust and complex chaotic behaviors, and they become $n$ D Arnold Cat maps by fixing the parameters as some special values. Performance evaluations demonstrate that the $n$ D chaotic systems have more complex chaotic behaviors and better distribution of outputs compared with existing HD chaotic systems. A 4-D Arnold Cat map and a 4-D chaotic map with hyperchaotic behaviors are generated as two examples. The two chaotic maps are then simulated on a microcontroller-based hardware platform and the chaotic sequences are tested to show good randomness.