scholarly journals Formal Verification of ROS-Based Robotic Applications Using Timed-Automata

Author(s):  
Raju Halder ◽  
Jose Proenca ◽  
Nuno Macedo ◽  
Andre Santos
Author(s):  
Souad Guellati ◽  
Ilham Kitouni ◽  
Riad Matmat ◽  
Djamel-Eddine Saidouni

The model checking algorithms have been widely studied for timed automata, it's a validation technique for automatically verifying correctness properties of finite-state systems, which are based on interleaving semantics. Therefore the actions are assumed instantaneous. To overcome the hypothesis of temporal and structural atomicity of actions, we use the durational actions timed automata model (daTA). This model is based on the maximality semantics. Properties to be verified are expressed using the Timed Computation Tree Logic (TCTL). For dealing with formal verification, the Maximality-based Region Graph (MRG) is defined and an adaptation of the model checking algorithm is proposed. The use of the maximality semantics based verification provides new class of properties related to simultaneous progress of actions at different states.


Author(s):  
Michael Rathmair ◽  
Christoph Luckeneder ◽  
Thomas Haspl ◽  
Berhnard Reiterer ◽  
Ralph Hoch ◽  
...  

Sensors ◽  
2020 ◽  
Vol 20 (16) ◽  
pp. 4506
Author(s):  
Aaditya Prakash Chouhan ◽  
Gourinath Banda

Autonomous vehicles are gaining popularity throughout the world among researchers and consumers. However, their popularity has not yet reached the level where it is widely accepted as a fully developed technology as a large portion of the consumer base feels skeptical about it. Proving the correctness of this technology will help in establishing faith in it. That is easier said than done because of the fact that the formal verification techniques has not attained the level of development and application that it is ought to. In this work, we present Statistical Model Checking (SMC) as a possible solution for verifying the safety of autonomous systems and algorithms. We apply it on Heuristic Autonomous Intersection Management (HAIM) algorithm. The presented verification routine can be adopted for other conflict point based autonomous intersection management algorithms as well. Along with verifying the HAIM, we also demonstrate the modeling and verification applied at each stage of development to verify the inherent behavior of the algorithm. The HAIM scheme is formally modeled using a variant of the language of Timed Automata. The model consists of automata that encode the behavior of vehicles, intersection manager (IM) and collision checkers. To verify the complete nature of the heuristic and ensure correct modeling of the system, we model it in layers and verify each layer separately for their expected behavior. Along with that, we perform implementation verification and error injection testing to ensure faithful modeling of the system. Results show with high confidence the freedom from collisions of the intersection controlled by the HAIM algorithm.


2016 ◽  
Vol 3 (1-2.) ◽  
Author(s):  
Joel Galvão ◽  
José Machado

The use of analysis techniques for improving quality of software for industrial controllers is widely used. Mainly Simulation and Formal Verification can be used as complementary techniques improving dependability of mechatronic systems behavior. In this paper there are used Simulation and Formal Verification for guaranteeing safe software for Programmable Logic Controllers, mainly related with using Function blocks of IEC 61131-3 standard. For studying, simulating and verifying behavior of those blocks are used timed automata, as modeling formalism, and UPPAAL, as tool for simulation and Formal Verification purposes.


2007 ◽  
Vol 38 (1) ◽  
pp. 39-65 ◽  
Author(s):  
Libor Waszniowski ◽  
Zdeněk Hanzálek

Author(s):  
YEAN-RU CHEN ◽  
PAO-ANN HSIUNG

With rapid developments in science and technology, we now see the ubiquitous use of different types of safety-critical systems in our daily lives such as in avionics, consumer electronics, and medical systems. In such systems, unintentional design faults might result in injury or even death to human beings. To avoid such mishaps, we need to verify safety-critical systems thoroughly and formal verification techniques such as model checking are a very promising approach. However, modeling the systems formally is a challenging task, which is further aggravated by the necessity to model faults and automatic repairs in safety-critical systems. Currently, there is no automatic technique in formal verification that can aid system designers in formally modeling the faults and repairs. This work contributes by proposing an extension to the Safecharts model so that faults and repairs are easily modeled and then the Safecharts are transformed into semantically equivalent Extended Timed Automata models that can be directly model checked. In this way, automatic failure analysis techniques are integrated into the SGM model checker. Application examples show the feasibility and benefits of the proposed model-driven verification of safety-critical systems.


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