查看文章

Chaotic systems are now employed in a variety of applications, including nonlinear control, Pseudo Random Number Generator (PRNG), encryption, and others. However, the majority of basic chaotic maps have a number of constraints, including limited chaotic areas, a low Lyapunov Exponent (LE), and a poor sensitivity to initial states. In this paper, we investigate and analyse the stability of a chaotic quadratic map. As Chaotic quadratic map has resistant chaos for the control parameter within p = 2. When a control parameter's value is increased by more than two, the trajectory does not exhibit chaotic behaviour. In order to overcome the disadvantages of chaotic behaviour in small parameter space, we suggest a Modified Chaotic Quadratic Map (MCQM) using the sine function and perturbation operations. These approaches keep chaotic orbits globally stable and robust. In the end, the chaotic dynamics of the …