Academic literature on the topic 'Verification of control systems'
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Journal articles on the topic "Verification of control systems"
Chen, Mo, and Claire J. Tomlin. "Hamilton–Jacobi Reachability: Some Recent Theoretical Advances and Applications in Unmanned Airspace Management." Annual Review of Control, Robotics, and Autonomous Systems 1, no. 1 (May 28, 2018): 333–58. http://dx.doi.org/10.1146/annurev-control-060117-104941.
Full textDe Smet, Olivier, Jean-Jacques Lesage, and Jean-Marc Roussel. "Formal Verification of Industrial Control Systems." IFAC Proceedings Volumes 34, no. 17 (September 2001): 183–88. http://dx.doi.org/10.1016/s1474-6670(17)33277-9.
Full textZhang, Chi, Wenjie Ruan, and Peipei Xu. "Reachability Analysis of Neural Network Control Systems." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 12 (June 26, 2023): 15287–95. http://dx.doi.org/10.1609/aaai.v37i12.26783.
Full textHoxha, Bardh. "Verification and Control for Autonomous Mobile Systems." Electronic Proceedings in Theoretical Computer Science 361 (July 10, 2022): 7–8. http://dx.doi.org/10.4204/eptcs.361.3.
Full textHASEGAWA, Masami. "S172026 SIL Verification of Safety Control Systems." Proceedings of Mechanical Engineering Congress, Japan 2013 (2013): _S172026–1—_S172026–4. http://dx.doi.org/10.1299/jsmemecj.2013._s172026-1.
Full textFeketa, Petro, Sergiy Bogomolov, and Thomas Meurer. "Safety Verification for Impulsive Systems." IFAC-PapersOnLine 53, no. 2 (2020): 1949–54. http://dx.doi.org/10.1016/j.ifacol.2020.12.2589.
Full textRasina, Irina Viktorovna, and Oles Vla\-di\-mi\-ro\-vich Fesko. "Sufficient relative minimum conditions for discrete-continuous control systems." Program Systems: Theory and Applications 11, no. 2 (May 10, 2020): 61–73. http://dx.doi.org/10.25209/2079-3316-2020-11-2-61-73.
Full textRawlings, Blake C., Jinkyung Kim, Il Moon, and B. Erik Ydstie. "Symbolic Verification of Control Systems and Operating Procedures." Industrial & Engineering Chemistry Research 53, no. 13 (February 28, 2014): 5299–310. http://dx.doi.org/10.1021/ie402998g.
Full textMosterman, Pieter J., Gautam Biswas, and Janos Sztipanovits. "Hybrid Modeling and Verification of Embedded Control Systems." IFAC Proceedings Volumes 30, no. 4 (April 1997): 33–38. http://dx.doi.org/10.1016/s1474-6670(17)43608-1.
Full textNorman, Gethin, David Parker, and Xueyi Zou. "Verification and control of partially observable probabilistic systems." Real-Time Systems 53, no. 3 (March 8, 2017): 354–402. http://dx.doi.org/10.1007/s11241-017-9269-4.
Full textDissertations / Theses on the topic "Verification of control systems"
Wang, Xuan. "Verification of digital controller implementations /." Diss., CLICK HERE for online access, 2005. http://contentdm.lib.byu.edu/ETD/image/etd1073.pdf.
Full textKoleini, Masoud. "Verification of temporal-epistemic properties of access control systems." Thesis, University of Birmingham, 2012. http://etheses.bham.ac.uk//id/eprint/3706/.
Full textLahijanian, Morteza M. "Formal verification and control of discrete-time stochastic systems." Thesis, Boston University, 2013. https://hdl.handle.net/2144/12804.
Full textThis thesis establishes theoretical and computational frameworks for formal verification and control synthesis for discrete-time stochastic systems. Given a temporal logic specification, the system is analyzed to determine the probability that the specification is achieved, and an input law is automatically generated to maximize this probability. The approach consists of three main steps: constructing an abstraction of the stochastic system as a finite Markov model, mapping the given specification onto this abstraction, and finding a control policy to maximize the probability of satisfying the specification. The framework uses Probabilistic Computation Tree Logic (PCTL) as the specification language. The verification and synthesis algorithms are inspired by the field of probabilistic model checking. In abstraction, a method for the computation of the exact transition probability bounds between the regions of interest in the domain of the stochastic system is first developed. These bounds are then used to construct an Interval-valued Markov Chain (IMC) or a Bounded-parameter Markov Decision Process (BMDP) abstraction for the system. Then, a representative transition probability is used to construct an approximating Markov chain (MC) for the stochastic system. The exact bound of the approximation error and an explicit expression for its grovvth over time are derived. To achieve a desired error value, an adaptive refinement algorithm that takes advantage of the linear dynamics of the system is employed. To verify the properties of the continuous domain stochastic system against a finite-time PCTL specification, IMC and BMDP verification algorithms are designed. These algorithms have low computational complexity and are inspired by the MC model checking algorithms. The low computational complexity is achieved by over approximating the probabilities of satisfaction. To increase the precision of the method, two adaptive refinement procedures are proposed. Furthermore, a method of generating the control strategy that maximizes the probability of satisfaction of a PCTL specification for Markov Decision Processes (MDPs) is developed. Through a similar method, a formal synthesis framework is constructed for continuous domain stochastic systems by utilizing their BMDP abstractions. These methodologies are then applied in robotics applications as a means of automatically deploying a mobile robot subject to noisy sensors and actuators from PCTL specifications. This technique is demonstrated through simulation and experimental case studies of deployment of a robot in an indoor environment. The contributions of the thesis include verification and synthesis frameworks for discrete time stochastic linear systems, abstraction schemes for stochastic systems to MCs, IMCs, and BMDPs, model checking algorithms with low computational complexity for IMCs and BMDPs against finite-time PCTL formulas, synthesis algorithms for Markov Decision Processes (MDPs) from PCTL formulas, and a computational framework for automatic deployment of a mobile robot from PCTL specifications. The approaches were validated by simulations and experiments. The algorithms and techniques in this thesis help to make discrete-time stochastic systems a more useful and effective class of models for analysis and control of real world systems.
de, Carvalho Gomes Pedro, and Attilio Picoco. "Sound Extraction of Control-Flow Graphs from open Java Bytecode Systems." KTH, Teoretisk datalogi, TCS, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-104076.
Full textQC 20121029
Verification of Control-Flow Properties of Programs with Procedures(CVPP)
Danielsson, Fredrik K. J. "Off-line programming, verification and optimisation of industrial control systems." Thesis, De Montfort University, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.269247.
Full textPark, Taeshin 1966. "Formal verification and dynamic validation of logic-based control systems." Thesis, Massachusetts Institute of Technology, 1998. http://hdl.handle.net/1721.1/50358.
Full textHa, Vida Uyen 1980. "Verification of an attitude control system." Thesis, Massachusetts Institute of Technology, 2003. http://hdl.handle.net/1721.1/87408.
Full textIncludes bibliographical references (p. 74).
by Vida Uyen Ha.
M.Eng.and S.B.
STESINA, FABRIZIO. "Design and verification of Guidance, Navigation and Control systems for space applications." Doctoral thesis, Politecnico di Torino, 2014. http://hdl.handle.net/11583/2540688.
Full textLow, Marie Rose. "Self defence in open systems : protecting and sharing resources in a distributed open environment." Thesis, University of Hertfordshire, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.241623.
Full textHu, Zhongjun. "Switching-Based Harmonic Disturbance Rejection for Uncertain Systems: An Experimental Verification." The Ohio State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1577987902093915.
Full textBooks on the topic "Verification of control systems"
Tabuada, Paulo. Verification and Control of Hybrid Systems. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0224-5.
Full textservice), SpringerLink (Online, ed. Verification and Control of Hybrid Systems: A Symbolic Approach. Boston, MA: Springer-Verlag US, 2009.
Find full textLempert, Robert J. Emerging technology systems and arms control. Santa Monica, CA: Rand, 1991.
Find full textApt, Kenneth E. A systems approach to chemical weapons verification. Los Alamos, N.M: Center for National Security Studies, Los Alamos National Laboratory, 1990.
Find full textVerification, validation, and testing of engineered systems. Hoboken, N.J: Wiley, 2010.
Find full textDanielsson, Fredrik K. J. Off-line programming, verification and optimisation of industrial control systems. Leicester: De Montfort University, 2002.
Find full textM, Schwenk David, and US Army Engineering and Housing Support Center., eds. Standard HVAC control systems commissioning and quality verification user guide. Fort Belvoir, VA: U.S. Army Engineering and Housing Support Center, 1994.
Find full textL, Wilson C. Simple test procedure for image-based biometric verification systems. Gaithersburg, MD: U.S. Dept. of Commerce, Technology Administration, National Institute of Standards and Technology, 1999.
Find full text1944-, Wise John A., Hopkin V. David, Stager Paul, North Atlantic Treaty Organization. Scientific Affairs Division., and NATO Advanced Study Institute and Validation of Complex and Integrated Human-Machine Systems (1992 : Vimeiro, Lisbon, Portugal), eds. Verification and validation of complex systems: Human factors issues. Berlin: Springer-Verlag, 1993.
Find full text1944-, Wise John A., Hopkin V. David, Stager Paul, and NATO Advanced Study Institute and Validation of Complex and Integrated Human-Machine Systems (1992 : Vimeiro, Lisbon, Portugal), eds. Verification and validation of complex systems: Additional human factors issues. Daytona Beach, Fla: Embry-Riddle Aeronautical University Press, 1993.
Find full textBook chapters on the topic "Verification of control systems"
Yadegari, Babak, and Saumya Debray. "Control Dependencies in Interpretive Systems." In Runtime Verification, 312–29. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67531-2_19.
Full textTabuada, Paulo. "Verification." In Verification and Control of Hybrid Systems, 43–50. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0224-5_5.
Full textKurzhanski, Alexander B., and Pravin Varaiya. "Verification: Hybrid Systems." In Systems & Control: Foundations & Applications, 395–429. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10277-1_11.
Full textGirard, Antoine, and George J. Pappas. "Verification Using Simulation." In Hybrid Systems: Computation and Control, 272–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11730637_22.
Full textTabuada, Paulo. "Control." In Verification and Control of Hybrid Systems, 51–70. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0224-5_6.
Full textTabuada, Paulo. "Systems." In Verification and Control of Hybrid Systems, 1–20. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0224-5_1.
Full textTabuada, Paulo. "Control problems." In Verification and Control of Hybrid Systems, 25–26. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0224-5_3.
Full textFehnker, Ansgar, and Franjo Ivančić. "Benchmarks for Hybrid Systems Verification." In Hybrid Systems: Computation and Control, 326–41. Berlin, Heidelberg: Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24743-2_22.
Full textZutshi, Aditya, Sriram Sankaranarayanan, and Ashish Tiwari. "Timed Relational Abstractions for Sampled Data Control Systems." In Computer Aided Verification, 343–61. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31424-7_27.
Full textMajumdar, Rupak, and Majid Zamani. "Approximately Bisimilar Symbolic Models for Digital Control Systems." In Computer Aided Verification, 362–77. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31424-7_28.
Full textConference papers on the topic "Verification of control systems"
Araiza-Illan, Dejanira, Kerstin Eder, and Arthur Richards. "Formal verification of control systems' properties with theorem proving." In 2014 UKACC International Conference on Control (CONTROL). IEEE, 2014. http://dx.doi.org/10.1109/control.2014.6915147.
Full textKumar, R., and B. H. Krogh. "Heterogeneous verification of embedded control systems." In 2006 American Control Conference. IEEE, 2006. http://dx.doi.org/10.1109/acc.2006.1657445.
Full textJin, Xiaoqing, Jyotirmoy V. Deshmukh, James Kapinski, Koichi Ueda, and Ken Butts. "Powertrain control verification benchmark." In HSCC'14: 17th International Conference on Hybrid Systems: Computation and Control. New York, NY, USA: ACM, 2014. http://dx.doi.org/10.1145/2562059.2562140.
Full textFang, Huixing, Jian Guo, Huibiao Zhu, and Jianqi Shi. "Formal Verification and Simulation: Co-verification for Subway Control Systems." In 2012 Sixth International Symposium on Theoretical Aspects of Software Engineering (TASE). IEEE, 2012. http://dx.doi.org/10.1109/tase.2012.11.
Full textRoohi, Nima, Yu Wang, Matthew West, Geir E. Dullerud, and Mahesh Viswanathan. "Statistical Verification of the Toyota Powertrain Control Verification Benchmark." In HSCC '17: 20th International Conference on Hybrid Systems: Computation and Control. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3049797.3049804.
Full textGaravello, Mauro. "Verification Theorems for HJB equations." In Control Systems: Theory, Numerics and Applications. Trieste, Italy: Sissa Medialab, 2006. http://dx.doi.org/10.22323/1.018.0021.
Full textAnand, Mahathi, Vishnu Murali, Ashutosh Trivedi, and Majid Zamani. "Formal verification of hyperproperties for control systems." In CPS-IoT Week '21: Cyber-Physical Systems and Internet of Things Week 2021. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3457335.3461715.
Full textTiwari, Ashish. "Bounded Verification of Adaptive Flight Control Systems." In AIAA Infotech@Aerospace 2010. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2010. http://dx.doi.org/10.2514/6.2010-3362.
Full textFainekos, Georgios E., and George J. Pappas. "MTL robust testing and verification for LPV systems." In 2009 American Control Conference. IEEE, 2009. http://dx.doi.org/10.1109/acc.2009.5159969.
Full textWang, Li, and Yu Wensheng. "Systems safety verification by boundary variation analysis." In 2015 34th Chinese Control Conference (CCC). IEEE, 2015. http://dx.doi.org/10.1109/chicc.2015.7260097.
Full textReports on the topic "Verification of control systems"
May, William B., and George E. Kelly. Verification of public domain control algorithms for building energy management and control systems. Gaithersburg, MD: National Bureau of Standards, 1985. http://dx.doi.org/10.6028/nbs.ir.85-3285.
Full textMittelsteadt, Matthew. AI Verification: Mechanisms to Ensure AI Arms Control Compliance. Center for Security and Emerging Technology, February 2021. http://dx.doi.org/10.51593/20190020.
Full textPodvig, Pavel, Markus Schiller, Amy Woolf, Christine Parthemore, Almudena Azcárate Ortega, Dmitry Stefanovich, and Decker Eveleth. Exploring Options for Missile Verification. Edited by Pavel Podvig. The United Nations Institute for Disarmament Research, March 2022. http://dx.doi.org/10.37559/wmd/22/misver/01.
Full textRaksincharoensak, Pongsathorn, Yutaka Ofuji, Motoki Shino, and Masao Nagai. Experimental Study on Intelligent Driving Assistance System by Using Direct Yaw Moment Control~Lane Keeping Control System Verification by Actual Driving Test. Warrendale, PA: SAE International, May 2005. http://dx.doi.org/10.4271/2005-08-0252.
Full textMcNeece, S. G., and R. W. Truitt. System verification and validation plan for SY-101 Hydrogen Mitigation Test Project Data Acquisition and Control System (DACS-1). Office of Scientific and Technical Information (OSTI), September 1994. http://dx.doi.org/10.2172/10103601.
Full textKrabill, Eleanor, Vivienne Zhang, Eric Lepowsky, Christoph Wirz, Alexander Glaser, Jaewoo Shin, Veronika Bedenko, and Pavel Podvig. Menzingen Verification Experiment - Verifying the Absence of Nuclear Weapons in the Field. Edited by Pavel Podvig. The United Nations Institute for Disarmament Research, July 2023. http://dx.doi.org/10.37559/wmd/23/mve.
Full textErmi, A. M., G. J. Gauck, and S. O. Smith. System verification and validation plan for SY-101 hydrogen mitigation test project data acquisition and control system (DACS-1). Revision 1. Office of Scientific and Technical Information (OSTI), June 1995. http://dx.doi.org/10.2172/408579.
Full textFindlay, Trevor. The Role of International Organizations in WMD Compliance and Enforcement: Autonomy, Agency, and Influence. The United Nations Institute for Disarmament Research, December 2020. http://dx.doi.org/10.37559/wmd/20/wmdce9.
Full textMayer, Barbara A., and Monica M. Lu. Guidelines for Formal Verification Systems. Fort Belvoir, VA: Defense Technical Information Center, April 1989. http://dx.doi.org/10.21236/ada385357.
Full textSTEWART, J. L. Technical safety requirements control level verification. Office of Scientific and Technical Information (OSTI), May 1999. http://dx.doi.org/10.2172/782336.
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