Relevant bibliographies by topics / Dynamic Systems

Academic literature on the topic 'Dynamic Systems'

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Published: 4 June 2021
Last updated: 25 May 2024

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Journal articles on the topic "Dynamic Systems"

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Bakal, Chris. "Dynamic systems." Genome Biology 13, no. 1 (2012): 312. http://dx.doi.org/10.1186/gb-2012-13-1-312.

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Sharif, Amir M. "Can systems dynamics be effective in modelling dynamic business systems?" Business Process Management Journal 11, no. 5 (October 2005): 612–15. http://dx.doi.org/10.1108/14637150510619911.

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Sachs, K., S. Itani, J. Fitzgerald, B. Schoeberl, G. P. Nolan, and C. J. Tomlin. "Single timepoint models of dynamic systems." Interface Focus 3, no. 4 (August 6, 2013): 20130019. http://dx.doi.org/10.1098/rsfs.2013.0019.

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Many interesting studies aimed at elucidating the connectivity structure of biomolecular pathways make use of abundance measurements, and employ statistical and information theoretic approaches to assess connectivities. These studies often do not address the effects of the dynamics of the underlying biological system, yet dynamics give rise to impactful issues such as timepoint selection and its effect on structure recovery. In this work, we study conditions for reliable retrieval of the connectivity structure of a dynamic system, and the impact of dynamics on structure-learning efforts. We encounter an unexpected problem not previously described in elucidating connectivity structure from dynamic systems, show how this confounds structure learning of the system and discuss possible approaches to overcome the confounding effect. Finally, we test our hypotheses on an accurate dynamic model of the IGF signalling pathway. We use two structure-learning methods at four time points to contrast the performance and robustness of those methods in terms of recovering correct connectivity.
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Panova, Yulia, and Olli-Pekka Hilmola. "DYNAMIC BOTTLENECKS IN HANDLING AND STORAGE SYSTEMS." Russian Journal of Logistics and Transport Management 2, no. 1 (2015): 11–19. http://dx.doi.org/10.20295/2313-7002-2015-1-11-19.

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Sapaty, P. S. "Spatial grasp model for dynamic distributed systems." Mathematical machines and systems 3 (2021): 3–21. http://dx.doi.org/10.34121/1028-9763-2021-3-21.

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More complex distributed and intelligent systems which relate to economy, ecology, communi-cations, security and defense, and cover both terrestrial and celestial environments are being developed. Their efficient management, especially in dynamic and unpredictable situations, needs serious investigations and development in scientific and technological areas. Their tradi-tional representations as parts operating by certain algorithms and exchanging messages are be-coming inadequate as such systems need much stronger integration to operate as holistic organ-isms pursuing global and often varying goals. This paper is focused on a completely different paradigm for organization and management of large dynamic and distributed systems. This par-adigm extends and transforms the notion of an algorithm for the description of knowledge pro-cessing logic. Moreover, it allows it to exist, propagate and operate as an integral whole in any distributed spaces which may constantly change their volumes and structures. Taking into con-sideration some organizational features related to dangerous viruses, as well as recent pandem-ics, this ubiquitous Spatial Grasp (SG) model is presented in the paper at philosophical and im-plementation levels, together with the introduction of special spatial charts for its exhibition and studies, which extend traditional algorithmic flowcharts towards working directly in dis-tributed spaces. Utilization of this model for the creation of resultant Spatial Grasp Technology and its basic Spatial Grasp Language, already described in details in numerous publications, is briefed as well. Elementary examples of dealing with distributed networks, collective human-robotic behavior, removal of space debris by a constellation of cleaning satellites and simulat-ing the spread of virus and vaccination against it explain SG advantages over traditional system organizations.
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Osipov, G. S. "Intelligent dynamic systems." Scientific and Technical Information Processing 37, no. 5 (December 2010): 259–64. http://dx.doi.org/10.3103/s0147688210050023.

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Tanaka, D. L., J. M. Krupinsky, M. A. Liebig, S. D. Merrill, R. E. Ries, J. R. Hendrickson, H. A. Johnson, and J. D. Hanson. "Dynamic Cropping Systems." Agronomy Journal 94, no. 5 (September 2002): 957–61. http://dx.doi.org/10.2134/agronj2002.9570.

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Power, Mary E. "Engaging Dynamic Systems." BioScience 57, no. 8 (September 1, 2007): 707–9. http://dx.doi.org/10.1641/b570812.

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Haykin, Simon. "Cognitive Dynamic Systems." International Journal of Cognitive Informatics and Natural Intelligence 5, no. 4 (October 2011): 33–43. http://dx.doi.org/10.4018/jcini.2011100103.

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The main topics covered in this paper address the following four issues: 1) Distinction between how adaptation and cognition are viewed with respect to each other, 2) With human cognition viewed as the framework for cognition, the following cognitive processes are identified: the perception-action cycle, memory, attention, intelligence, and language. With language being outside the scope of the paper, detailed accounts of the other four cognitive processes are discussed, 3) Cognitive radar is singled out as an example application of cognitive dynamic systems that “mimics” the visual brain; experimental results on tracking are presented using simulations, which clearly demonstrate the information-processing power of cognition, and 4) Two other example applications of cognitive dynamic systems, namely, cognitive radio and cognitive control, are briefly described.
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Haykin, Simon. "Cognitive Dynamic Systems." Proceedings of the IEEE 94, no. 11 (November 2006): 1910–11. http://dx.doi.org/10.1109/jproc.2006.886014.

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Dissertations / Theses on the topic "Dynamic Systems"

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Zhang, Liqian. "Optimal H2 model reduction for dynamic systems /." Hong Kong : University of Hong Kong, 2000. http://sunzi.lib.hku.hk/hkuto/record.jsp?B21841548.

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Piveropoulos, Giannis. "Dynamic object-oriented systems." Thesis, University of York, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.298492.

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張立茜 and Liqian Zhang. "Optimal H2 model reduction for dynamic systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2000. http://hub.hku.hk/bib/B31241372.

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Gupta, Amit. "Model reduction and simulation of complex dynamic systems /." Online version of thesis, 1990. http://hdl.handle.net/1850/11265.

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Rafiliu, Sergiu. "Stability of Adaptive Distributed Real-TimeSystems with Dynamic Resource Management." Doctoral thesis, Linköpings universitet, Programvara och system, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-98721.

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Today's embedded distributed real-time systems, are exposed to large variations in resource usage due to complex software applications, sophisticated hardware platforms, and the impact of their run-time environment. As eciency becomes more important, the applications running on these systems are extended with on-line resource managers whose job is to adapt the system in the face of such variations. Distributed systems are often heterogeneous, meaning that the hardware platform consists of computing nodes with dierent performance, operating systems, and scheduling policies, linked through one or more networks using dierent protocols. In this thesis we explore whether resource managers used in such distributed embedded systems are stable, meaning that the system's resource usage is controlled under all possible run-time scenarios. Stability implies a bounded worst-case behavior of the system and can be linked with classic real-time systems' properties such as bounded response times for the software applications. In the case of distributed systems, the stability problem is particularly hard because software applications distributed over the dierent resources generate complex, cyclic dependencies between the resources, that need to be taken into account. In this thesis we develop a detailed mathematical model of an adaptive, distributed real-time system and we derive conditions that, if satised, guarantee its stability.
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Zhong, Zhian. "Power Systems Frequency Dynamic Monitoring System Design and Applications." Diss., Virginia Tech, 2005. http://hdl.handle.net/10919/28707.

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Recent large-scale blackouts revealed that power systems around the world are far from the stability and reliability requirement as they suppose to be. The post-event analysis clarifies that one major reason of the interconnection blackout is lack of wide area information. Frequency dynamics is one of the most important parameters of an electrical power system. In order to understand power system dynamics effectively, accurately measured wide-area frequency is needed. The idea of building an Internet based real-time GPS synchronized wide area Frequency Monitoring Network (FNET) was proposed to provide the imperative dynamic information for the large-scale power grids and the implementation of FNET has made the synchronized observations of the entire US power network possible for the first time. The FNET system consists of Frequency Disturbance Recorders (FDR), which work as the sensor devices to measure the real-time frequency at 110V single-phase power outlets, and an Information Management System (IMS) to work as a central server to process the frequency data. The device comparison between FDR and commercial PMU (Phasor Measurement Unit) demonstrate the advantage of FNET. The web visualization tools make the frequency data available for the authorized users to browse through Internet. The research work addresses some preliminary observations and analyses with the field-measured frequency information from FNET. The original algorithms based on the frequency response characteristic are designed to process event detection, localization and unbalanced power estimation during frequency disturbances. The analysis of historical cases illustrate that these algorithms can be employed in real-time level to provide early alarm of abnormal frequency change to the system operator. The further application is to develop an adaptive under frequency load shedding scheme with the processed information feed in to prevent further frequency decline in power systems after disturbances causing dangerous imbalance between the load and generation.
Ph. D.
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Hughes, Jonathan L. "Applications of Stability Analysis to Nonlinear Discrete Dynamical Systems Modeling Interactions." VCU Scholars Compass, 2015. http://scholarscompass.vcu.edu/etd/3819.

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Many of the phenomena studied in the natural and social sciences are governed by processes which are discrete and nonlinear in nature, while the most highly developed and commonly used mathematical models are linear and continuous. There are significant differences between the discrete and the continuous, the nonlinear and the linear cases, and the development of mathematical models which exhibit the discrete, nonlinear properties occurring in nature and society is critical to future scientific progress. This thesis presents the basic theory of discrete dynamical systems and stability analysis and explores several applications of this theory to nonlinear systems which model interactions involving economic agents and biological populations. In particular we will explore the stability properties of equilibria associated with inter-species and intergenerational population dynamics in biology and market price and agent composition dynamics in economics.
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Monga, Pavinder. "A System Dynamics Model of the Development of New Technologies for Ship Systems." Thesis, Virginia Tech, 2001. http://hdl.handle.net/10919/35258.

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System Dynamics has been applied to various fields in the natural and social sciences. There still remain countless problems and issues where understanding is lacking and the dominant theories are event-oriented rather than dynamic in nature. One such research area is the application of the traditional systems engineering process in new technology development. The Navy has been experiencing large cost overruns in projects dealing with the implementation of new technologies on complex ship systems. We believe that there is a lack of understanding of the dynamic nature of the technology development process undertaken by aircraft-carrier builders and planners. Our research effort is to better understand the dynamics prevalent in the new technology development process and we use a dynamic modeling technique, namely, System Dynamics in our study.

We provide a comprehensive knowledge elicitation process in which members from the Newport News Shipbuilding, the Naval Sea Command Cost Estimating Group, and the Virginia Tech System Performance Laboratory take part in a group model building exercise. We build a System Dynamics model based on the information and data obtained from the experts. Our investigation of the dynamics yields two dominant behaviors that characterize the technology development process. These two dynamic behaviors are damped oscillation and goal seeking. Furthermore, we propose and investigate four dynamic hypotheses in the system. For the current structure of the model, we see that an increase in the complexity of new technologies leads to an increase in the total costs, whereas a increase in the technology maturity leads to a decrease in the total costs in the technology development process. Another interesting insight is that an increase in training leads to a decrease in total costs.
Master of Science

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Caronni, Germano. "Dynamic security in communication systems /." [S.l.] : [s.n.], 1999. http://e-collection.ethbib.ethz.ch/show?type=diss&nr=13156.

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Salloum, Mohammed. "Towards dynamic performance measurement systems." Thesis, Mälardalen University, School of Innovation, Design and Engineering, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-10016.

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The purpose of this report is to single out and apply the most critical factors for dynamic performance meausrement systems. The report concludes that the existence in practice of theoretically important aspects are diverse and that the most appropriate way of governing the aspects are through the creation of a performance management process.

The theoretical chapter is established for dual purposes. The first is to give the reader a comprehensive understanding of what has been done in the field of performance measurement and management so far and the second is to answer the first research question imposed.

The empirical chapter investigates to what degree the existence of factors singled out in theory are present in practice. Further, the chapter also answers research question two.

Finally the result and analysis chapters focuses on cross-analysing the case studies made and generate a recommendation. Research question three is answered under these headings.


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Books on the topic "Dynamic Systems"

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Zavalishchin, S. T., and A. N. Sesekin. Dynamic Impulse Systems. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-015-8893-5.

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Boguslavskiy, Josif A. Dynamic Systems Models. Edited by Mark Borodovsky. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-04036-3.

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Hamblin, W. Kenneth. Earth's dynamic systems. 7th ed. Englewood Cliffs, NJ: Prentice Hall, 1995.

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Hamblin, W. Kenneth. Earth's dynamic systems. 6th ed. New York: Macmillan, 1992.

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H, Christiansen Eric, ed. Earth's dynamic systems. 9th ed. Upper Saddle River, NJ: Prentice Hall, 2001.

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Hamblin, W. Kenneth. Earth's dynamic systems. 6th ed. New York: Macmillan Pub. Co., 1992.

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H, Christiansen Eric, ed. Earth's dynamic systems. 8th ed. Upper Saddle River, N.J: Prentice Hall, 1998.

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Osipenko, Georgiy. Computer-oriented methods of dynamic systems. ru: INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1912470.

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The methods of studying the global properties of dynamic systems based on the construction of a symbolic image of this system are considered. A symbolic image is an oriented graph, which is an approximation to a dynamical system and is constructed by discretizing the phase space. The symbolic dynamics generated by the oriented graph reflects the dynamics of the system under study. The symbolic image is a tool of theoretical research and the basis of computer-oriented methods for the numerical study of nonlocal properties of dynamical systems. Meets the requirements of the federal state educational standards of higher education of the latest generation. For students of higher educational institutions studying in the field of Applied Mathematics and Computer Science. It will be useful for graduate students and researchers studying dynamical systems and their applications.
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Maine, R. E. Identification of dynamic systems. Neuilly sur Seine: Agard, 1985.

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Hannon, Bruce, and Matthias Ruth. Modeling Dynamic Biological Systems. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05615-9.

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Book chapters on the topic "Dynamic Systems"

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Fieguth, Paul. "Dynamic Systems." In An Introduction to Complex Systems, 41–65. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-44606-6_4.

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Georgiev, Svetlin G. "Dynamic Systems." In Functional Dynamic Equations on Time Scales, 37–98. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-15420-2_2.

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Dadkhah, Kamran. "Dynamic Systems." In Foundations of Mathematical and Computational Economics, 495–527. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-13748-8_17.

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Webb, Geoffrey I., Johannes Fürnkranz, Johannes Fürnkranz, Johannes Fürnkranz, Geoffrey Hinton, Claude Sammut, Joerg Sander, et al. "Dynamic Systems." In Encyclopedia of Machine Learning, 308. Boston, MA: Springer US, 2011. http://dx.doi.org/10.1007/978-0-387-30164-8_239.

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Kao, Chiang. "Dynamic Systems." In International Series in Operations Research & Management Science, 409–31. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31718-2_17.

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Peccati, Lorenzo, Mauro D’Amico, and Margherita Cigola. "Dynamic Systems." In UNITEXT, 221–340. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-02336-2_4.

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Lifschitz, Vladimir. "Dynamic Systems." In Answer Set Programming, 129–46. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24658-7_8.

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Genesereth, Michael, and Vinay K. Chaudhri. "Dynamic Systems." In Introduction to Logic Programming, 97–102. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-031-01586-1_11.

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von Tetzchner, Stephen. "Dynamic Systems." In Typical and Atypical Child and Adolescent Development 1, 23–27. London: Routledge, 2022. http://dx.doi.org/10.4324/9781003291275-8.

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Leach, Melissa, Ian Scoones, and Andy Stirling. "Dynamic Systems." In Dynamic Sustainabilities, 15–35. London: Routledge, 2010. http://dx.doi.org/10.4324/9781849775069-2.

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Conference papers on the topic "Dynamic Systems"

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Roberts, Christopher J., Matthew G. Richards, Adam M. Ross, Donna H. Rhodes, and Daniel E. Hastings. "Scenario planning in dynamic multi-attribute tradespace exploration." In 2009 3rd Annual IEEE Systems Conference. IEEE, 2009. http://dx.doi.org/10.1109/systems.2009.4815828.

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Ma, J., and M. A. Orgun. "Dynamic Theories of Trust for Secure Agent-Based Systems." In 2008 2nd Annual IEEE Systems Conference. IEEE, 2008. http://dx.doi.org/10.1109/systems.2008.4519010.

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Colonius, Fritz, Gerhard Häckl, and Wolfgang Kliemann. "Dynamic Reliability of Nonlinear Systems Under Random Excitation." In ASME 1995 Design Engineering Technical Conferences collocated with the ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/detc1995-0347.

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Abstract Reliability theory analyzes failure phenomena in systems, leading to maintenance and replacement schedules as well as risk assessment and other topics. Dynamic reliability takes into account the (possibly nonlinear) dynamics of the system and of the random excitation that may lead to failure. It is shown, how some of the concepts of reliability theory can be interpreted in the dynamical systems context. Analytical results are derived for failure probabilities, for life time distributions, asymptotic damage accumulation rates, and other relevant concepts. The Takens-Bogdanov oscillator and a model for ship roll motion are analyzed in detail, together with a thorough description of the numerical methods that are available for dynamic reliability studies.
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Haykin, Simon. "Cognitive Dynamic Systems." In 2007 4th International Conference on Electrical and Electronics Engineering. IEEE, 2007. http://dx.doi.org/10.1109/iceee.2007.4345069.

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Bjørneseth, Frøy Birte, Mark D. Dunlop, and Jann Peter Strand. "Dynamic positioning systems." In the 5th Nordic conference. New York, New York, USA: ACM Press, 2008. http://dx.doi.org/10.1145/1463160.1463166.

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Haykin, Simon. "Cognitive Dynamic Systems." In 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07. IEEE, 2007. http://dx.doi.org/10.1109/icassp.2007.367333.

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Strybulevych, Anatoliy, Tomohisa Norisuye, Matthew Hasselfield, J. H. Page, Michio Tokuyama, Irwin Oppenheim, and Hideya Nishiyama. "Dynamic Sound Scattering Investigation of the Dynamics of Sheared Particulate Suspensions." In COMPLEX SYSTEMS: 5th International Workshop on Complex Systems. AIP, 2008. http://dx.doi.org/10.1063/1.2897814.

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Itani, Solomon, Emilio Frazzoli, and Munther A. Dahleh. "Dynamic Traveling Repairperson Problem for dynamic systems." In 2008 47th IEEE Conference on Decision and Control. IEEE, 2008. http://dx.doi.org/10.1109/cdc.2008.4739373.

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Darema, Frederica, and Mario Rotea. "Dynamic data---Dynamic data-driven applications systems." In the 2006 ACM/IEEE conference. New York, New York, USA: ACM Press, 2006. http://dx.doi.org/10.1145/1188455.1188458.

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Oraevsky, Anatoly N. "Dynamics of single-mode lasers and dynamic chaos." In Nonlinear Dynamics of Laser and Optical Systems, edited by Valery V. Tuchin. SPIE, 1997. http://dx.doi.org/10.1117/12.276179.

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Reports on the topic "Dynamic Systems"

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Venkatachalapathy, Rajesh. Systems Isomorphisms in Stochastic Dynamic Systems. Portland State University Library, December 2019. http://dx.doi.org/10.15760/etd.7283.

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Klein, Steven K., Robert H. Kimpland, and Marsha M. Roybal. Dynamic System Simulation of Fissile Solution Systems. Office of Scientific and Technical Information (OSTI), April 2014. http://dx.doi.org/10.2172/1127468.

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Muelaner, Jody Emlyn. Electric Road Systems for Dynamic Charging. SAE International, March 2022. http://dx.doi.org/10.4271/epr2022007.

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Electric road systems (ERS) enable dynamic charging—the most energy efficient and economical way to decarbonize road vehicles. ERS draw electrical power directly from the grid and enable vehicles with small batteries to operate without the need to stop for charging. The three main technologies (i.e., overhead catenary lines, road-bound conductive tracks, and inductive wireless systems in the road surface) are all technically proven; however, no highway system has been commercialized. Electric Road Systems for Dynamic Charging discusses the technical and economic advantages of dynamic charging and questions the current investment in battery-powered and hydrogen-fueled vehicles.
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Cai, Y., S. S. Chen, T. M. Mulcahy, and D. M. Rote. Dynamic stability of maglev systems. Office of Scientific and Technical Information (OSTI), May 1994. http://dx.doi.org/10.2172/10145218.

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Cai, Y., S. Chen, T. Mulcahy, and D. Rote. Dynamic stability of maglev systems. Office of Scientific and Technical Information (OSTI), April 1992. http://dx.doi.org/10.2172/6910954.

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Cai, Y., S. S. Chen, T. M. Mulcahy, and D. M. Rote. Dynamic stability of maglev systems. Office of Scientific and Technical Information (OSTI), April 1992. http://dx.doi.org/10.2172/10110331.

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Klein, Steven Karl, John David Bernardin, Robert Herbert Kimpland, and Dusan Spernjak. Extensions to Dynamic System Simulation of Fissile Solution Systems. Office of Scientific and Technical Information (OSTI), August 2015. http://dx.doi.org/10.2172/1212640.

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Klein, Steven, John Determan, Larry Dowell, and Marsha Roybal. Stand-Alone Dynamic System Simulation of Fissile Solution Systems. Office of Scientific and Technical Information (OSTI), September 2014. http://dx.doi.org/10.2172/1154978.

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Perdigão, Rui A. P., Julia Hall, and Kaya Schwemmlein. Polyadic Dynamic Nexus among Complex Socio-Environmental Systems: from Earth System Dynamics to Sustainable Development. Meteoceanics, August 2020. http://dx.doi.org/10.46337/200819.

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Perdigão, Rui A. P., and Julia Hall. Spatiotemporal Causality and Predictability Beyond Recurrence Collapse in Complex Coevolutionary Systems. Meteoceanics, November 2020. http://dx.doi.org/10.46337/201111.

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Causality and Predictability of Complex Systems pose fundamental challenges even under well-defined structural stochastic-dynamic conditions where the laws of motion and system symmetries are known. However, the edifice of complexity can be profoundly transformed by structural-functional coevolution and non-recurrent elusive mechanisms changing the very same invariants of motion that had been taken for granted. This leads to recurrence collapse and memory loss, precluding the ability of traditional stochastic-dynamic and information-theoretic metrics to provide reliable information about the non-recurrent emergence of fundamental new properties absent from the a priori kinematic geometric and statistical features. Unveiling causal mechanisms and eliciting system dynamic predictability under such challenging conditions is not only a fundamental problem in mathematical and statistical physics, but also one of critical importance to dynamic modelling, risk assessment and decision support e.g. regarding non-recurrent critical transitions and extreme events. In order to address these challenges, generalized metrics in non-ergodic information physics are hereby introduced for unveiling elusive dynamics, causality and predictability of complex dynamical systems undergoing far-from-equilibrium structural-functional coevolution. With these methodological developments at hand, hidden dynamic information is hereby brought out and explicitly quantified even beyond post-critical regime collapse, long after statistical information is lost. The added causal insights and operational predictive value are further highlighted by evaluating the new information metrics among statistically independent variables, where traditional techniques therefore find no information links. Notwithstanding the factorability of the distributions associated to the aforementioned independent variables, synergistic and redundant information are found to emerge from microphysical, event-scale codependencies in far-from-equilibrium nonlinear statistical mechanics. The findings are illustrated to shed light onto fundamental causal mechanisms and unveil elusive dynamic predictability of non-recurrent critical transitions and extreme events across multiscale hydro-climatic problems.
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