Formal Verification of Probabilistic Multi-Agent Systems for Ballistic Rocket Flight Using Probabilistic Alternating-Time Temporal Logic

TL;DR

This paper introduces a formal verification framework using Probabilistic Alternating-Time Temporal Logic to ensure the safety of ballistic rocket flights by analyzing telemetry data and environmental stochasticity.

Contribution

It presents a novel verification approach integrating real telemetry data and probabilistic logic to analyze safety properties of ballistic rockets in stochastic environments.

Findings

Effective safety verification of rocket trajectories

Automated intervention mechanisms demonstrated

Framework accounts for environmental variability

Abstract

This technical report presents a comprehensive formal verification approach for probabilistic agent systems modeling ballistic rocket flight trajectories using Probabilistic Alternating-Time Temporal Logic (PATL). We describe an innovative verification framework specifically designed for analyzing critical safety properties of ballistic rockets engineered to achieve microgravity conditions for scientific experimentation. Our model integrates authentic flight telemetry data encompassing velocity vectors, pitch angles, attitude parameters, and GPS coordinates to construct probabilistic state transition systems that rigorously account for environmental stochasticity, particularly meteorological variability. We formalize mission-critical safety properties through PATL specifications to systematically identify trajectory deviation states where the rocket risks landing in prohibited or hazardous zones. The verification framework facilitates real-time safety monitoring and enables automated intervention mechanisms, including emergency engine disengagement protocols, when predefined safety thresholds are exceeded. Experimental validation demonstrates the practical effectiveness and reliability of our approach in ensuring mission safety while maintaining scientific mission objectives.