77,065 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
Towards Physical Hybrid Systems
Some hybrid systems models are unsafe for mathematically correct but
physically unrealistic reasons. For example, mathematical models can classify a
system as being unsafe on a set that is too small to have physical importance.
In particular, differences in measure zero sets in models of cyber-physical
systems (CPS) have significant mathematical impact on the mathematical safety
of these models even though differences on measure zero sets have no tangible
physical effect in a real system. We develop the concept of "physical hybrid
systems" (PHS) to help reunite mathematical models with physical reality. We
modify a hybrid systems logic (differential temporal dynamic logic) by adding a
first-class operator to elide distinctions on measure zero sets of time within
CPS models. This approach facilitates modeling since it admits the verification
of a wider class of models, including some physically realistic models that
would otherwise be classified as mathematically unsafe. We also develop a proof
calculus to help with the verification of PHS.Comment: CADE 201
Constructive Hybrid Games
Hybrid games are models which combine discrete, continuous, and adversarial
dynamics. Game logic enables proving (classical) existence of winning
strategies. We introduce constructive differential game logic (CdGL) for hybrid
games, where proofs that a player can win the game correspond to computable
winning strategies. This is the logical foundation for synthesis of correct
control and monitoring code for safety-critical cyber-physical systems. Our
contributions include novel static and dynamic semantics as well as soundness
and consistency.Comment: 60 pages, preprint, under revie
Differential Hoare Logics and Refinement Calculi for Hybrid Systems with Isabelle/HOL
We present simple new Hoare logics and refinement calculi for hybrid systems in the style of differential dynamic logic. (Refinement) Kleene algebra with tests is used for reasoning about the program structure and generating verification conditions at this level. Lenses capture hybrid program stores in a generic algebraic way. The approach has been formalised with the Isabelle/HOL proof assistant. A number of examples explains the workflow with the resulting verification components
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