Runtime Enforcement of Hybrid System Properties

2026-06-10 · Source: Artificial Intelligence · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Robotics & Autonomous Systems · Depth: Expert, quick

Summary

A new runtime enforcement framework addresses safety in autonomous and cyber-physical systems, particularly reactive systems with complex continuous dynamics. Unlike prior methods limited to untimed or discrete-time specifications, this framework models safety requirements using Hybrid Automata (HA). It integrates discrete-event editing with continuous-time monitoring, enabling enforcement actions like event suppression, delay, and insertion at any time. The system initializes upon environmental input, then uses runtime reachability analysis to synthesize safe corrective actions. The authors formally define the enforcement problem for safety hybrid automata, establish enforceability conditions, and present an online enforcement algorithm. A case study on an Adaptive Cruise Control (ACC) system demonstrated its effectiveness, showing minimal computational overhead and real-time continuous compliance with safety requirements.

Key takeaway

For Robotics Engineers developing autonomous or cyber-physical systems, if you are struggling with real-time safety enforcement in reactive environments, consider this HA-based framework. It offers a robust method to actively prevent property violations by modifying unsafe behaviors with minimal computational overhead. You can integrate its discrete-event editing and continuous-time monitoring to ensure continuous compliance, particularly for systems like Adaptive Cruise Control.

Key insights

The framework combines HA-based modeling with runtime reachability analysis for real-time safety enforcement in hybrid systems.

Principles

• Runtime enforcement prevents violations.
• Hybrid Automata model safety requirements.
• Reachability analysis synthesizes safe actions.

Method

The framework initializes an automaton upon input, then uses runtime reachability analysis to synthesize corrective actions, combining discrete-event editing with continuous-time monitoring.

In practice

• Apply to Adaptive Cruise Control (ACC).
• Ensure safety in cyber-physical systems.
• Prevent unsafe controller behaviors.

Topics

• Runtime Enforcement
• Hybrid Systems
• Hybrid Automata
• Cyber-Physical Systems
• Adaptive Cruise Control
• Reachability Analysis

Best for: AI Scientist, Robotics Engineer, Research Scientist

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Editorial summary, takeaway, and curation by AIssential. Original article published by Artificial Intelligence.