Event-Triggered Multiagent Control for Low-Exchange Coordination
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Solution Overview
Problem
Existing distributed control architectures in multiagent systems suffer from excessive agent-to-agent information exchange, leading to network overload and high energy consumption, particularly in decentralized systems where global information exchange is less desirable due to security and scalability issues.
Innovation Solution
Implement a norm-free and adaptive event-triggering rule based on a solution-predictor curve method, allowing agents to estimate unknown variables and reduce information exchange by storing and exchanging parameters only when necessary, using a decentralized and adaptive event-triggering mechanism.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous or periodic information exchange is implemented in distributed control architectures, then system stability and coordination are maintained, but network overload and energy consumption increase significantly
Solution Approach 1:
The patent implements event-triggered control where information exchange occurs periodically only when specific triggering conditions are met, rather than continuously or at fixed intervals. This reduces communication frequency and energy consumption while maintaining system stability through conditional updates based on state changes and performance requirements.
Solution Approach 2:
The patent uses feedback mechanisms where agents monitor system states and trigger information exchange only when performance thresholds are violated or significant state changes occur. This feedback-driven approach ensures system stability is maintained while minimizing unnecessary communications and energy consumption.
2Adaptability or versatility
If decentralized control architecture is used in multiagent systems, then scalability and security are improved, but information exchange efficiency deteriorates due to lack of global coordination
Solution Approach 1:
The patent divides the multiagent system into independent decentralized agents that operate autonomously with local decision-making capabilities. Each agent segments the control function and exchanges information only with necessary neighbors, improving scalability while maintaining efficient localized information exchange without requiring global coordination.
3Loss of energy
If norm-based event-triggering rules are implemented, then information exchange is reduced, but system complexity increases due to norm calculation and verification
Solution Approach 1:
The patent extracts and removes the complex norm calculation and verification steps from the event-triggering mechanism. Instead of calculating full state norms, the system uses simplified triggering conditions based on local state changes and performance thresholds, reducing energy consumption while maintaining low system complexity.
Data Source
AI summary
Methods and systems for information exchange of a vehicle in a multiagent system are disclosed. The methods and systems include: receiving one or more neighboring states broadcast by one or more neighboring vehicles; transmitting a last broadcast state of the vehicle to the one or more neighboring vehicles; determining a current state of the vehicle based on the one or more neighboring states and the last broadcast state; determining a norm-free information exchange triggering condition based on the last broadcast state, the current state, and an estimated command; and in response to the current state violating the norm-free information exchange triggering condition, transmitting the current state to the one or more neighboring vehicles. Other aspects, embodiments, and features are also claimed and described.