Noise-to-State Stability of Random Coupled Kuramoto Oscillators via Feedback Control

Abstract

This paper is intended to study noise-to-state stability in probability (NSSP) for random coupled Kuramoto oscillators with input control (RCKOIC). A feedback control is designed, which makes us give the existence and uniqueness of a solution for RCKOIC. Based on Kirchhoff’s matrix tree theorem in graph theory, an original and appropriate Lyapunov function for RCKOIC is established. With the help of the Lyapunov method and by resorting to some analysis skills, NSSP for RCKOIC with an arbitrarily coupled topological structure and second-order moment process stochastic disturbance is acquired. Finally, the effectiveness of the obtained results is verified by a numerical test and its simulation process.

Keywords

• noise-to-state stability
• random coupled Kuramoto oscillators
• feedback control
• Lyapunov method
• Kirchhoff’s matrix tree theorem