Distributed Neuromorphic Control

Advantages

• Significantly lowers power consumption by replacing continuous control updates with event-driven spike-based actuation
• Reduces communication load in multi-agent networks through sparse, asynchronous information exchange
• Delivers provable stability and guaranteed minimum inter-event timing to ensure reliable operation
• Enables scalable coordination of distributed systems without requiring centralized controllers or synchronized clocks

Summary

Modern multi-agent systems such as robotic swarms, smart grids, and distributed sensor networks rely heavily on continuous communication and centralized coordination. This creates high energy consumption, bandwidth demands, and scalability challenges. Existing neuromorphic control approaches focus only on single systems, leaving a gap for distributed, low-power coordination across interconnected agents operating over structured networks.

This technology introduces a distributed neuromorphic control framework that enables multiple agents to coordinate using sparse, event-triggered communication over directed acyclic graphs. Each agent operates independently using spike-based control while still achieving global consensus or tracking objectives. The approach provides guaranteed dwell times, avoids unstable rapid switching, and has been validated through multi-agent simulations demonstrating scalable and stable convergence.

The image illustrates how multiple agents are connected over a directed acyclic graph, demonstrating the distributed structure that enables coordinated, spike-based control across the network.

Desired Partnerships

• License
• Sponsored Research
• Co-Development