Multiscroll Construction via Dynamics Editing and Attractor Doubling

The multiscroll chaotic system, with its complex phase space topology, offers broad applicability in real-time path planning for the Internet of Things (IoT). In this work, it is found that the combination of attractor doubling can help to reconstruct or even strengthen the bidirectional bonding strap, and thus cooperate with the dynamics editing for building and reshaping any desired multiscroll topological structure. From this routine, 2-D or 3-D controlled multiscroll attractors can be produced, in which the technology of attractor doubling and dynamics editing can be combined in a flexible strategy, and thus the multiscroll attractors present richer embedded forms. Additionally, the proposed concepts of convergence fields and switching regions provide a new analytical perspective for understanding multiscroll structures. FPGA-based hardware experiments successfully verify the feasibility of implementing such systems on embedded platforms. Test results indicate that integrating the Pelican Optimization Algorithm (POA) with the multiscroll system yields an average performance improvement of approximately 5%.