18,722 research outputs found
A Complete Axiomatization of Quantified Differential Dynamic Logic for Distributed Hybrid Systems
We address a fundamental mismatch between the combinations of dynamics that
occur in cyber-physical systems and the limited kinds of dynamics supported in
analysis. Modern applications combine communication, computation, and control.
They may even form dynamic distributed networks, where neither structure nor
dimension stay the same while the system follows hybrid dynamics, i.e., mixed
discrete and continuous dynamics. We provide the logical foundations for
closing this analytic gap. We develop a formal model for distributed hybrid
systems. It combines quantified differential equations with quantified
assignments and dynamic dimensionality-changes. We introduce a dynamic logic
for verifying distributed hybrid systems and present a proof calculus for this
logic. This is the first formal verification approach for distributed hybrid
systems. We prove that our calculus is a sound and complete axiomatization of
the behavior of distributed hybrid systems relative to quantified differential
equations. In our calculus we have proven collision freedom in distributed car
control even when an unbounded number of new cars may appear dynamically on the
road
A Vision of Collaborative Verification-Driven Engineering of Hybrid Systems
Abstract. Hybrid systems with both discrete and continuous dynamics are an important model for real-world physical systems. The key challenge is how to ensure their correct functioning w.r.t. safety requirements. Promising techniques to ensure safety seem to be model-driven engineering to develop hybrid systems in a well-defined and traceable manner, and formal verification to prove their correctness. Their combination forms the vision of verification-driven engineering. Despite the remarkable progress in automating formal verification of hybrid systems, the construction of proofs of complex systems often requires significant human guidance, since hybrid systems verification tools solve undecidable problems. It is thus not uncommon for verification teams to consist of many players with diverse expertise. This paper introduces a verification-driven engineering toolset that extends our previous work on hybrid and arithmetic verification with tools for (i) modeling hybrid systems, (ii) exchanging and comparing models and proofs, and (iii) managing verification tasks. This toolset makes it easier to tackle large-scale verification tasks.
Hybrid performance modelling of opportunistic networks
We demonstrate the modelling of opportunistic networks using the process
algebra stochastic HYPE. Network traffic is modelled as continuous flows,
contact between nodes in the network is modelled stochastically, and
instantaneous decisions are modelled as discrete events. Our model describes a
network of stationary video sensors with a mobile ferry which collects data
from the sensors and delivers it to the base station. We consider different
mobility models and different buffer sizes for the ferries. This case study
illustrates the flexibility and expressive power of stochastic HYPE. We also
discuss the software that enables us to describe stochastic HYPE models and
simulate them.Comment: In Proceedings QAPL 2012, arXiv:1207.055
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