Resilient Structural Sparsity in the Design of Consensus Networks
| Autor: | Jairo Giraldo, Gilberto Diaz-Garcia, Alvaro A. Cardenas, Luis Felipe Giraldo, Gabriel Narvaez |
|---|---|
| Rok vydání: | 2023 |
| Předmět: |
Physics
Theoretical computer science business.industry Topology (electrical circuits) Robotics Computer Science Applications Computer Science::Multiagent Systems Human-Computer Interaction Electric power system Consensus Control and Systems Engineering Synchronization (computer science) A priori and a posteriori Artificial intelligence State (computer science) Electrical and Electronic Engineering business Resilience (network) Software Information Systems |
| Zdroj: | IEEE Transactions on Cybernetics. 53:2717-2726 |
| ISSN: | 2168-2275 2168-2267 |
| Popis: | The consensus problem is relevant to different areas ranging from biology, social psychology, and physics to power systems and robotics. Two crucial aspects of the design of a consensus system are the implementation issues that arise in densely connected networks and the presence of malicious agents that try to cause a deviation from a synchronization state. In this article, we introduce a formulation to design the topology of a consensus network to improve its resilience to attacks while remaining sparse and consistent with the a priori structural relations between the agents. Through mathematical analysis and simulations on artificial and real-world cases, we show the benefits and usefulness of using this strategy to design resilient and structurally sparse consensus networks. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|