How can I build a resilient distributed observer for CAV platoons?
Distributed Observer Design for Tracking Platoon of Connected and Autonomous Vehicles
This paper proposes a distributed observer algorithm for tracking the state of a connected and autonomous vehicle (CAV) platoon. Each vehicle uses local communication with its neighbors to estimate the global platoon state. This approach is more robust and scalable than centralized methods.
Relevant to LLM-based multi-agent systems, the key points are the distributed nature of the algorithm, reliance on local communication and consensus protocols (similar to how LLMs in a multi-agent system might interact), and the focus on resilience to node/link failures which is crucial in decentralized LLM applications. The paper's use of a block-diagonal observer gain matrix, computed via LMI, can inspire similar optimization strategies for managing interactions and information flow in LLM-based multi-agent systems. The strong connectivity requirement for the communication network mirrors the need for effective communication channels between LLMs in a distributed system. The concept of survivable network design with redundancy, discussed in the paper, can inform strategies for building robust LLM-based multi-agent applications.