Connection adaption for control of networked mobile chaotic agents

Area of Science:

• Complex Systems
• Network Science
• Nonlinear Dynamics

Background:

• Mobile chaotic oscillators present control challenges due to their dynamic nature.
• Existing adaptive control schemes often rely on continuous coupling strength adjustments.
• Networked systems require robust control strategies that accommodate agent mobility.

Purpose of the Study:

• To propose a new adaptive control strategy for mobile chaotic oscillators.
• To enable control without continuous adjustment of coupling strength.
• To ensure control effectiveness irrespective of oscillator speed and network size.

Main Methods:

• Employing adaptive rewiring of connections between nearby agents based on local information.
• Analyzing the synchronization properties of the resulting unidirectional chain-like interaction structures.
• Investigating the impact of coupling range on control effectiveness.

Main Results:

• The proposed strategy achieves control by adaptively rewiring connections, eliminating the need for coupling strength adaptation.
• Synchronization is achievable within a specific coupling range, independent of chain length.
• The method effectively controls mobile oscillators irrespective of their moving speed.

Conclusions:

• The adaptive rewiring strategy offers a simpler and more robust approach to controlling mobile chaotic oscillators.
• This method provides effective control for networked mobile agents without continuous parameter tuning.
• The unweighted and adaptive nature of the interaction networks simplifies implementation.