Safe Neighborhood Computation for Hybrid System Verification
Yi Deng (Rensselaer Polytechnic Institute), Agung Julius (Rensselaer, Polytechnic Institute)

TL;DR
This paper introduces a simulation-based method for the formal verification of hybrid systems, addressing the complexity challenges inherent in hybrid dynamics to improve safety analysis.
Contribution
It presents a novel simulation-based approach for verifying hybrid systems, enhancing the ability to detect safety issues early in complex system designs.
Findings
Effective verification of hybrid systems demonstrated
Early detection of safety issues possible
Method applicable to complex hybrid dynamics
Abstract
For the design and implementation of engineering systems, performing model-based analysis can disclose potential safety issues at an early stage. The analysis of hybrid system models is in general difficult due to the intrinsic complexity of hybrid dynamics. In this paper, a simulation-based approach to formal verification of hybrid systems is presented.
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