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Leader-follower controllability of signed networks
Bo Liu1, Qing An2, Yanping Gao3
1School of Information Engineering, Minzu University of China, Beijing 100081, China.
Controlling signed multi-agent networks is possible when leaders are chosen from structurally balanced subsets. Cooperation and antagonism significantly impact network controllability, even enabling switching control in otherwise uncontrollable systems.
Area of Science:
- Control Theory
- Network Science
- Systems Engineering
Background:
- Multi-agent networks involve complex interactions, including cooperative (positive) and antagonistic (negative) relationships, represented by signed graphs.
- Understanding leader-follower controllability in these networks is crucial for designing coordinated systems.
- Existing research often focuses on non-signed or fixed topology networks, leaving gaps in analyzing signed and switching interaction effects.
Purpose of the Study:
- To determine the criteria for leader-follower controllability in signed multi-agent networks with both fixed and switching interaction topologies.
- To investigate the specific effects of cooperative and antagonistic interactions on network controllability.
- To explore leader selection strategies for achieving desired network control.
Main Methods:
- Analysis of signed graph theory to model cooperative and antagonistic interactions.
- Development of controllability criteria for fixed and switching signed multi-agent networks.
- Mathematical proofs to establish conditions for follower controllability based on leader selection and network structure.
Main Results:
- Followers in structurally balanced signed multi-agent networks can be controlled if leaders are selected from the same partitioned subset.
- Switching signed multi-agent networks can achieve controllability even if individual subsystems are uncontrollable, provided simultaneous structural balance conditions are met.
- Criteria for leader selection are established, demonstrating their importance in achieving network control.
Conclusions:
- Structural balance is a key factor in achieving leader-follower controllability in signed multi-agent networks.
- Cooperation and antagonism play critical roles in determining the controllability of these complex systems.
- The findings provide a theoretical foundation for designing and controlling advanced multi-agent systems with mixed interactions.
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