622 research outputs found
RTLola Cleared for Take-Off: Monitoring Autonomous Aircraft
The autonomous control of unmanned aircraft is a highly safety-critical
domain with great economic potential in a wide range of application areas,
including logistics, agriculture, civil engineering, and disaster recovery. We
report on the development of a dynamic monitoring framework for the DLR ARTIS
(Autonomous Rotorcraft Testbed for Intelligent Systems) family of unmanned
aircraft based on the formal specification language RTLola. RTLola is a
stream-based specification language for real-time properties. An RTLola
specification of hazardous situations and system failures is statically
analyzed in terms of consistency and resource usage and then automatically
translated into an FPGA-based monitor. Our approach leads to highly efficient,
parallelized monitors with formal guarantees on the noninterference of the
monitor with the normal operation of the autonomous system
Generalized Property-Directed Reachability for Hybrid Systems
Generalized property-directed reachability (GPDR) belongs to the family of
the model-checking techniques called IC3/PDR. It has been successfully applied
to software verification; for example, it is the core of Spacer, a
state-of-the-art Horn-clause solver bundled with Z3. However, it has yet to be
applied to hybrid systems, which involve a continuous evolution of values over
time. As the first step towards GPDR- based model checking for hybrid systems,
this paper formalizes HGPDR, an adaptation of GPDR to hybrid systems, and
proves its soundness. We also implemented a semi-automated proof-of-concept
verifier, which allows a user to provide hints to guide verification steps.Comment: To appear in VMCAI 202
Behavioural Preorders on Stochastic Systems - Logical, Topological, and Computational Aspects
Computer systems can be found everywhere: in space, in our homes, in our
cars, in our pockets, and sometimes even in our own bodies. For concerns of
safety, economy, and convenience, it is important that such systems work
correctly. However, it is a notoriously difficult task to ensure that the
software running on computers behaves correctly.
One approach to ease this task is that of model checking, where a model of
the system is made using some mathematical formalism. Requirements expressed in
a formal language can then be verified against the model in order to give
guarantees that the model satisfies the requirements.
For many computer systems, time is an important factor. As such, we need our
formalisms and requirement languages to be able to incorporate real time.
We therefore develop formalisms and algorithms that allow us to compare and
express properties about real-time systems. We first introduce a logical
formalism for reasoning about upper and lower bounds on time, and study the
properties of this formalism, including axiomatisation and algorithms for
checking when a formula is satisfied.
We then consider the question of when a system is faster than another system.
We show that this is a difficult question which can not be answered in general,
but we identify special cases where this question can be answered. We also show
that under this notion of faster-than, a local increase in speed may lead to a
global decrease in speed, and we take step towards avoiding this.
Finally, we consider how to compare the real-time behaviour of systems not
just qualitatively, but also quantitatively. Thus, we are interested in knowing
how much one system is faster or slower than another system. This is done by
introducing a distance between systems. We show how to compute this distance
and that it behaves well with respect to certain properties.Comment: PhD dissertation from Aalborg Universit
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