Abstract: Chaos suppression and excitation are inverse processes. They constitute a crucial pathway for gaining a deeper understanding of the complex nonlinear phenomena in power electronic converters. By introducing spatial correlation into a high-order Cuk converter model containing four state variables, we achieved coupled control of two specified state variables, thereby effectively controlling the chaotic behavior of the system. Based on the state-space averaged model of the Cuk converter, a simulation model built using the MATLAB/Simulink platform demonstrated that adjusting the spatial correlation parameter can significantly suppress or excite the nonlinear phenomena, verifying the practicability and effectiveness of the proposed method. This research not only deepened students’ understanding of chaotic phenomena and their control strategies in power electronic systems but also promoted the application extension of chaos control strategies. The simulation experiment is characterized by its simplicity and strong operability, enhancing students' ability to analyze the dynamic performance of complex systems and opening new research directions for the theoretical analysis and pedagogical practices associated with power electronic circuits.