Rössler-network with time delay: Univariate impulse pinning synchronization
Kun Tian1, Hai-Peng Ren1, Celso Grebogi1
1Shaanxi Key Laboratory of Complex System Control and Intelligent Information Processing, Xian University of Technology, Xian 710048, China.
Chaos (Woodbury, N.Y.)
|December 31, 2020
Summary
This study introduces a novel univariate impulse control method to achieve pinning synchronization in coupled Rössler networks with time delays. The research validates a new controller for regulating complex network behavior.
Area of Science:
- Chaos Theory
- Network Synchronization
- Control Systems
Background:
- Dynamical systems, like the Rössler system, are fundamental in understanding complex behaviors.
- Network synchronization is crucial for controlling emergent behaviors in interconnected systems.
- Pinning control, using a small set of nodes, offers an efficient strategy for network regulation.
Purpose of the Study:
- To investigate the pinning synchronization of a coupled Rössler network with time delay.
- To develop and validate a univariate impulse control strategy for network regulation.
- To honor the scientific contributions of Rössler through research on his benchmark system.
Main Methods:
- Utilizing Lyapunov theory to establish conditions for asymptotic stability.
- Developing a univariate impulse control technique for synchronization.
- Employing network simulations to verify analytical results.
Main Results:
- A theorem proving the asymptotic stability of synchronization in the Rössler network was derived.
- The effectiveness of the univariate impulse pinning controller was demonstrated through simulations.
- Successful synchronization of the coupled Rössler network was achieved.
Conclusions:
- The proposed univariate impulse control method is effective for achieving pinning synchronization in delayed Rössler networks.
- The theoretical analysis, supported by simulations, confirms the stability of the synchronized network.
- This work provides a valuable control strategy for complex dynamical networks.
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