Resilient Structural Sparsity in the Design of Consensus Networks
提出一种设计共识网络拓扑的方法，在保持稀疏性和结构一致性的同时提升对恶意攻击的弹性，并通过数学分析和仿真验证其有效性。
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.