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Cyber Physical Systems are composition of physical processes and discrete computational elements. Modeling and verification of such systems require mechanisms that incorporate continuos behaviour for monitoring physical events and descrete behaviour for computational elements. Passage of time is a fundamental property to be modelled and hybrid systems incorporate this aspect directly in the automaton...
Cyber-Physical Systems (CPS) integrate discrete-time computing and continuous-time physical-world entities, which are often wirelessly interlinked. The use of wireless safety critical CPS (control, healthcare etc.) requires safety guarantees despite communication faults. This paper focuses on one important set of such safety rules: Proper-Temporal-Embedding (PTE). Our solution introduces hybrid automata...
A model checking procedure, based on the recently introduced linear temporal logic LTL[e] framework, is proposed for the analysis of a class of safety specifications for the synthesis of discrete-event supervisory controllers. A restricted syntax is proposed for capturing specifications which, in our experience, are common in the design of control systems for manufacturing processes. Semantic models...
IEC 61499 is an international standard for designing Industrial Process Control Systems using artefacts such as Function Blocks and Execution Control Charts. The existing approaches towards formal verification of function blocks lack the natural expression for specifying the system properties. We suggest an approach for performing formal verification of IEC 61499 designs using observers expressed...
Verification of real-time systems - e.g. communication protocols or embedded controllers - is an important task. One method to detect errors is called bounded model checking (BMC). In BMC the system is iteratively unfolded and then transformed into a satisfiability problem. If an appropriate solver finds the $k$-th instance to be satisfiable a counterexample for a given safety property has been found...
Control systems are used to produce a certain result with little or no human supervision. The principal aim of such systems is to ensure that resources are used efficiently and that the desired product quality is achieved. Moreover, for critical systems such as oil and gas plants, it is important to guarantee the safety and reliability of the operation. Therefore, it is necessary to verify whether...
Safety is an important element of dependability. It is defined as the absence of accidents. Most accidents involving software-intensive systems have been system accidents, which are caused by unsafe inter-system or inter-component interactions. To validate the absence of system hazards concerning dysfunctional interactions, industrials call for approaches of modeling system safety requirements and...
Systems verification requires first to model the system to be verified, then to formalize the properties to be satisfied, and finally to describe the behaviour of the environment. This last point, known as the proof context, is often neglected. It could, however, be of great importance in order to reduce the complexity of the proof. The question is then how to formalize such a proof context. This...
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