A PVS-Simulink Integrated Environment for Model-Based Analysis of Cyber-Physical Systems

Abstract

This paper presents a methodology, with supporting tool, for formal modeling and analysis of software components in cyber-physical systems. Using our approach, developers can integrate a simulation of logic-based specifications of software components and Simulink models of continuous processes. The integrated simulation is useful to validate the characteristics of discrete system components early in the development process. The same logic-based specifications can also be formally verified using the Prototype Verification System (PVS), to gain additional confidence that the software design complies with specific safety requirements. Modeling patterns are defined for generating the logic-based specifications from the more familiar automata-based formalism. The ultimate aim of this work is to facilitate the introduction of formal verification technologies in the software development process of cyber-physical systems, which typically requires the integrated use of different formalisms and tools. A case study from the medical domain is used to illustrate the approach. A PVS model of a pacemaker is interfaced with a Simulink model of the human heart. The overall cyber-physical system is co-simulated to validate design requirements through exploration of relevant test scenarios. Formal verification with the PVS theorem prover is demonstrated for the pacemaker model for specific safety aspects of the pacemaker design

Logic-Based Formalization of System Requirements for Integrated Clinical Environments

“…The PVS theorem proving environment (Owre et al, 1992) has been used for verification in many application fields, such as autonomous vehicles (Domenici et al, 2017) and nonlinear controls . In the field of medical systems, PVS and the PVSio-web prototyping environment (Masci et al, 2015b) have been used to study implantable cardiac pacemakers (Bernardeschi et al, 2017(Bernardeschi et al, , 2014 and infusion pumps (Mauro et al, 2017). The present chapter complements these works in that we demonstrate how formal methods technologies can be used to formalize network requirements for an ICE system.…”

Nonlinear Attitude Control Design and Verification for a Safe Flight of a Small-Scale Unmanned Helicopter

“…Therefore, we considered both factors in addition to taking into account dynamical actuator constraints based on practical parameters. For control verification, several attempts have been proposed to verify simple control systems such as in [22], [23], [24] and [25], and for hybrid verification systems as in [26]. These approaches have been developed based on interactive theorem provers, which need interaction with humans to complete proofs.…”

Medical cyber-physical systems: A survey

“…Finally, the recent promising domain of the healthcare applications includes: the medical Internet of Things (MIoT) to enable healthcare transformation, protecting interoperable clinical environment with authentication, and embedded, real-time, networked MCPS. Finally, several studies have been conducted on different Medical CPS applications that can be considered for further readings [70][71][72][73][74][75][76][77][78][79][80][81].…”