The coordination of multiple autonomous vehicles into convoys or platoons is expected on our highways in the near future. However, before such platoons can be deployed, the new autonomous behaviours of the vehicles in these platoons must be certified. An appropriate representation for vehicle platooning is as a multiagent system in which each agent captures the “autonomous decisions” carried ou...

The increasing use of deep neural networks for safety-critical applications, such as autonomous driving and flight control, raises concerns about their safety and reliability. Formal verification can address these concerns by guaranteeing that a deep learning system operates as intended, but the state-of-the-art is limited to small systems. In this work-in-progress report we give an overview of...

ÐIn this article, we introduce the concept for a distributed railway control system and present the specification and verification of the main algorithm used for safe distributed control. Our design and verification approach is based on the RAISE method, starting with highly abstract algebraic specifications which are transformed into directly implementable distributed control processes by appl...

We introduce a fixedpoint algorithm for verifying safety properties of hybrid systems with differential equations that have right-hand sides that are polynomials in the state variables. In order to verify non-trivial systems without solving their differential equations and without numerical errors, we use a continuous generalization of induction, for which our algorithm computes the required di...

Rezine, A. 2008. Parameterized Systems: Generalizing and Simplifying Automatic Verification. Acta Universitatis Upsaliensis. Uppsala Dissertations from the Faculty of Science and Technology 72. 196 pp. Uppsala. ISBN 978-91-554-7138-5. In this thesis we propose general and simple methods for automatic verification of parameterized systems. These are systems consisting of an arbitrary number of i...

Formal verification provides a high degree of confidence in safe system operation, but only if reality matches the verified model. Although a good model will be accurate most of the time, even the best models are incomplete. This is especially true in Cyber-Physical Systems because high-fidelity physical models of systems are expensive to develop and often intractable to verify. Conversely, rei...

Although autocoding techniques promise large gains in software development productivity, their “real-world” application has been limited, particularly in safety-critical domains. Often, the major impediment is the missing trustworthiness of these systems: demonstrating—let alone formally certifying—the trustworthiness of automatic code generators is extremely difficult due to their complexity a...

It is important to have multi-agent robotic system specifications that ensure correctness properties of safety and liveness. As these systems have concurrency, and often have dynamic environment, the formal specification and verification of these systems along with step-wise refinement from abstract to concrete concepts play a major role in system correctness. Formal verification is used for ex...

The increasing use of distributed applications in real-time and safety critical embedded systems results in the need for functional and non-functional system verification in the design process. This paper proposes model verification as solution to identify concept ional design failures in advance, and to verify model correctness in an abstract level. With an extension to classical model checkin...

We describe two complementary techniques to aid the automatic verification of safety properties of synchronous systems by model checking. A first technique allows the automatic generation of certain inductive invariants for mode variables. Such invariants are crucial in the verification of safety properties in systems with complex modal behavior. A second technique allows the simultaneous verif...