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AADL+: a simulation-based methodology for cyber-physical systems |
Jing LIU1, Tengfei LI1, Zuohua DING2, Yuqing QIAN1, Haiying SUN1, Jifeng HE1( ) |
1. Shanghai Key Laboratory of Trustworthy Computing, East China Normal University, Shanghai 200062, China 2. Zhejiang Sci-Tech University, Xiasha College Park, Hangzhou 310018, China |
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Abstract AADL (architecture analysis and design language) concentrates on the modeling and analysis of application system architectures. It is quite popular for its simple syntax, powerful functionality and extensibility and has been widely applied in embedded systems for its advantage. However, it is not enough for AADL to model cyber-physical systems (CPS) mainly because it cannot be used to model the continuous dynamic behaviors. This paper proposes an approach to construct a new sublanguage of AADL called AADL+, to facilitate the modeling of not only the discrete and continuous behavior of CPS, but also interaction between cyber components and physical components. The syntax and semantics of the sublanguage are provided to describe the behaviors of the systems. What’s more, we develop a plug-in to OSATE (open-source AADL tool environment) for the modeling of CPS. And the plug-in supports syntax checking and simulation of the system model through linking with modelica. Finally, the AADL+ annex is successfully applied to model a lunar rover control system.
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Keywords
AADL
cyber-physical systems (CPS)
simulation
OSATE
lunar rover control system
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Corresponding Author(s):
Jifeng HE
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Just Accepted Date: 07 December 2017
Online First Date: 07 January 2019
Issue Date: 24 April 2019
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1 |
E ALee, S ASeshia. Introduction to Embedded Systems: a Cyber-Physical Systems Approach. MA: The MIT Press, 2016
|
2 |
MDebbabi, F Hassaïne, YJarraya, ASoeanu, L Alawneh. Unified modeling language. Encyclopedia of Systems Biology, 2010, 20(1): 9
|
3 |
BSelic, SGerard. Modeling and Analysis of Real-Time and Embedded Systems with UML and MARTE: Developing Cyber-Physical Systems. Amsterdam: Elsevier, 2013
|
4 |
YCao, Y SLiu, C J JParedis. System-level model integration of design and simulation for mechatronic systems based on SysML. Mechatronics, 2011, 21(6): 1063–1075
https://doi.org/10.1016/j.mechatronics.2011.05.003
|
5 |
P HFeiler, B ALewis, SVestal. The SAE architecture analysis & design language (AADL) a standard for engineering performance critical systems. In: Proceedings of 2006 IEEE International Conference on Control Applications, International Symposium on Intelligent Control. 2006, 1206–1211
|
6 |
SVestal. MetaH support for real-time multi-processor avionics. In: Proceedings of the Joint Workshop on Parallel and Distributed Real- Time Systems. 1997, 11–21
https://doi.org/10.1109/WPDRTS.1997.637858
|
7 |
E ALee. The past, present and future of cyber-physicalsystems: a focus on models. Sensors, 2015, 15(3): 4837–4869
https://doi.org/10.3390/s150304837
|
8 |
Z JWang, L LXie. Cyber-physical systems: a survey. Acta Automatica Sinica, 2011, 37(10): 1157–1166
|
9 |
P HFeiler, D PGluch. Model-based Eegineering with AADL: an Introduction to the SAE Architecture Analysis & Design Language. New Jexsey: Addison-Wesley, 2012
|
10 |
S A EAerospace. SAE AS5506 annex: behavior specification v1.6. New Jersey: SAE International, 2007
|
11 |
S A EAerospace. SAE AS5506a: architecture analysis and design language v2.0. Google Scholar, 2009
|
12 |
BØksendal. Stochastic Differential Equations- An Introduction with Applications. New York: Springer Science & Business Media, 2003
|
13 |
AssociationModelica. Modelica- a united object-oriented language for systems modeling-language specification version 3.3. PELAB, IDA, Linköpings Universitet, S-58183 Linköping, Sweden, 2014
|
14 |
ARajhans, S WCheng, BSchmerl, D Garlan, B HKrogh, CAgbi, ABhave. An architectural approach to the design and analysis of cyberphysical systems. Electronic Communications of the EASST, 2009, 21: 14–38
|
15 |
ABanerjee, S Kandula, TMukherjee, SGupta. BAND-AiDe: a tool for cyber-physical oriented analysis and design of body area networks and devices. ACM Transactions on Embedded Computing Systems, 2012, 11(S2): 49
https://doi.org/10.1145/2331147.2331159
|
16 |
D BSmith, L WHanlen. Channel Modeling for Wireless Body Area Networks. Ultra-Low-Power Short-Range Radios. New York: Springer International Publishing, 2015, 25–55
https://doi.org/10.1007/978-3-319-14714-7_2
|
17 |
FSinghoff, J Legrand, LNana, LMarcé. Cheddar:a flexible real time scheduling framework. ACM SIGAda Ada Letters, 2004, 24(4): 1–8
https://doi.org/10.1145/1046191.1032298
|
18 |
RAlur, RGrosu, YHur, V Kumar, ILee. Modular specification of hybrid systems in Charon. In: Proceedings of the 3rd International Workshop on Hybrid Systems: Computation and Control. 2000, 6–19
https://doi.org/10.1007/3-540-46430-1_5
|
19 |
OSokolsky. The montana toolset: OSATE plugins for analysis and code generation. In: Proceedings of AADL Workshop, 2005
|
20 |
Y CZhou, JBaras, S GWang. Hardware software co-design for automotive CPS using architecture analysis and design language. 2016, arXiv preprint arXiv:1603.05069
|
21 |
EPalachi, CCohen, STakashi. Simulation of cyber physical models using SysML and numerical solvers. In: Proceedings of the IEEE International Systems Conference. 2013, 671–675
https://doi.org/10.1109/SysCon.2013.6549954
|
22 |
RBehjati, TYue, SNejati, L Briand, BSelic. Extending SysML with AADL concepts for comprehensive system architecture modeling. In: Proceedings of European Conference on Modelling Foundations and Applications. 2011, 236–252
https://doi.org/10.1007/978-3-642-21470-7_17
|
23 |
CBernardeschi, A Domenici, PMasci. A PVS-simulink integrated environment for model-based analysis of cyber-physical systems. IEEE Transactions on Software Engineering, 2018, 44(6): 512–533
https://doi.org/10.1109/TSE.2017.2694423
|
24 |
MPrist, AFreddi, SLonghi, A Monteriù. An integrated simulation module for wireless cyber-physical system. In: Proceedings of the 15th International Conference on Environment and Electrical Engineering. 2015, 1397–1402
https://doi.org/10.1109/EEEIC.2015.7165374
|
25 |
KBhasin, PBarnes, JReinert, B Golden. Applying model based systems engineering to NASA’s space communications networks. In: Proceedings of the IEEE International Systems Conference. 2013, 325–330
https://doi.org/10.1109/SysCon.2013.6549901
|
26 |
JLee, RCha, Y HHan, W Nam, J YChoi, W TKim, S MPark. Modeling autonomous military robots using hybrid system framework. In: Proceedings of International Conference on Information and Communication Technology Convergence. 2010, 429–430
|
27 |
OSokolsky, MPajic, NBezzo, I Lee. Architecture-centric software development for cyber-physical systems. In: Proceedings of the 1st Workshop on Cyber-Physical System Architectures and Design Methodologies. 2014
|
28 |
EAhmad, B RLarson, S CBarrett, N J Zhan, Y WDong. Hybrid annex: an AADL extension for continuous behavior and cyber-physical interaction modeling. ACM SIGAda Ada Letters, 2014, 34(3): 29–38
https://doi.org/10.1145/2692956.2663178
|
29 |
M CBujorianu, M L Bujorianu, HBarringer. A unifying specification logic for cyber-physical systems. In: Proceedings of Mediterranean Conference on Control and Automation. 2009, 1166–1171
https://doi.org/10.1109/MED.2009.5164704
|
30 |
YZhang, Y WDong, FZhang, Y F Zhang. Research on modeling and analysis of CPS. In: Proceedings of the International Conference on Autonomic and Trusted Computing. 2011, 92–105
|
31 |
RAlur. Formal verification of hybrid systems. In: Proceedings of the International Conference on Embedded Software. 2011, 273–278
https://doi.org/10.1145/2038642.2038685
|
32 |
Z HSun, X SZhou. Extending and recompiling AADL for CPS modeling. In: Proceedings of the IEEE International Conference on Green Computing and Communications. 2013, 1225–1230
https://doi.org/10.1109/GreenCom-iThings-CPSCom.2013.213
|
33 |
SDziwok, C Gerking, SBecker, SThiele, C Heinzemann, UPohlmann. A tool suite for the model-driven software engineering of cyberphysical systems. In: Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering. 2014, 715–718
|
34 |
L CZhang. Aspect-oriented modeling of railway cyber physical systems based on the extension of AADL. In: Proceedings of the IEEE International Conference on High Performance Computing and Communications & the 10th IEEE International Conference on Embedded and Ubiquitous Computing. 2013, 2104–2111
https://doi.org/10.1109/HPCC.and.EUC.2013.302
|
35 |
AEhsan, Y WDong, LBrian, T Tang, J DLü, N JZhan. Behavior modeling and verification of movement authority scenario of Chinese train control system using AADL. Science China Information Sciences, 2015, 58(11): 1–20
https://doi.org/10.1007/s11432-015-5346-2
|
36 |
Z BYang, KHu, D FMa, L Pi. Towards a formal semantics for the AADL behavior annex. In: Proceedings of the Conference on Design, Automation and Test in Europe. 2009, 1166–1171
|
37 |
AKamandi, JHabibi. A survey of syntax and semantics frameworks of modeling languages. In: Proceedings of the 2nd International Conference on Computer Science and ITS Applications. 2009, 1–6
https://doi.org/10.1109/CSA.2009.5404220
|
38 |
ETorlak, M Taghdiri, GDennis, J PNear. Applications and extensions of Alloy: past, present and future. Mathematical Structures in Computer Science, 2013, 23(4): 915–933
https://doi.org/10.1017/S0960129512000291
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