Academic literature on the topic 'Mixed Logical Dynamical Systems'
Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles
Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Mixed Logical Dynamical Systems.'
Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.
You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.
Journal articles on the topic "Mixed Logical Dynamical Systems"
Frick, Damian, Alexander Domahidi, and Manfred Morari. "Embedded optimization for mixed logical dynamical systems." Computers & Chemical Engineering 72 (January 2015): 21–33. http://dx.doi.org/10.1016/j.compchemeng.2014.06.005.
Full textBernardo, C., and F. Vasca. "A Mixed Logical Dynamical Model of the Hegselmann–Krause Opinion Dynamics." IFAC-PapersOnLine 53, no. 2 (2020): 2826–31. http://dx.doi.org/10.1016/j.ifacol.2020.12.952.
Full textMisik, Stefan, Jakub Arm, and Zdenek Bradac. "Formulation and Simulation of Receding Horizon Control over Mixed Logical Dynamical System." IFAC-PapersOnLine 51, no. 6 (2018): 390–95. http://dx.doi.org/10.1016/j.ifacol.2018.07.185.
Full textAraújo Elias, Tiago, Paulo Renato Costa Mendes, and Júlio Elias Normey‐Rico. "Mixed Logical Dynamical Nonlinear Model Predictive Controller for Large‐Scale Solar Fields." Asian Journal of Control 21, no. 4 (January 17, 2019): 1881–91. http://dx.doi.org/10.1002/asjc.1967.
Full textBemporad, A. "Efficient Conversion of Mixed Logical Dynamical Systems Into an Equivalent Piecewise Affine Form." IEEE Transactions on Automatic Control 49, no. 5 (May 2004): 832–38. http://dx.doi.org/10.1109/tac.2004.828315.
Full textZanma, Tadanao, Keizo Fuke, Shang Chang Ma, and Muneaki Ishida. "Simultaneous identification of piecewise affine systems and number of subsystems using mixed logical dynamical systems theory." Electronics and Communications in Japan 91, no. 5 (May 2008): 1–10. http://dx.doi.org/10.1002/ecj.10109.
Full textNAKAO, Shogo, and Toshimitsu USHIO. "Self-Triggered Predictive Control with Time-Dependent Activation Costs of Mixed Logical Dynamical Systems." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E97.A, no. 2 (2014): 476–83. http://dx.doi.org/10.1587/transfun.e97.a.476.
Full textZanma, Tadanao, Keizo Fuke, Shang Chang Ma, and Muneaki Ishida. "Simultaneous Identification of PieceWise Affine Systems and Number of Subsystems Using Mixed Logical Dynamical System Theory." IEEJ Transactions on Electronics, Information and Systems 127, no. 8 (2007): 1251–58. http://dx.doi.org/10.1541/ieejeiss.127.1251.
Full textZanma, Tadanao, Shinya Akiba, Koki Hoshikawa, and Kang-Zhi Liu. "Cruise Control for a Two-Wheeled Mobile Vehicle Using Its Mixed Logical Dynamical System Model." IEEE Transactions on Industrial Informatics 16, no. 5 (May 2020): 3145–56. http://dx.doi.org/10.1109/tii.2019.2910280.
Full textMa, H., S. Wei, L. Li, T. Lin, and S. Chen. "Mixed logical dynamical model of the pulsed gas tungsten arc welding process with varied gap." Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering 225, no. 2 (March 2011): 270–80. http://dx.doi.org/10.1243/09596518jsce1016.
Full textDissertations / Theses on the topic "Mixed Logical Dynamical Systems"
Zhang, Liang. "Dynamical logical circuits in excitable chemical systems." Thesis, University of the West of England, Bristol, 2012. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.572678.
Full textStellato, Bartolomeo. "Mixed-integer optimal control of fast dynamical systems." Thesis, University of Oxford, 2017. https://ora.ox.ac.uk/objects/uuid:b8a7323c-e36e-45ec-ae8d-6c9eb4350629.
Full textLöck, Steffen. "Dynamical Tunneling in Systems with a Mixed Phase Space." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2010. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-33335.
Full textDer Tunnelprozess ist einer der bedeutensten Effekte in der Quantenmechanik. Während das Tunneln in eindimensionalen integrablen Systemen gut verstanden ist, gestaltet sich dessen Beschreibung für Systeme mit gemischtem Phasenraum weitaus schwieriger. Solche Systeme besitzen Gebiete regulärer und chaotischer Bewegung, die klassisch getrennt sind, aber quantenmechanisch durch den Prozess des dynamischen Tunnelns gekoppelt werden. In dieser Arbeit wird eine theoretische Vorhersage für dynamische Tunnelraten abgeleitet, die den Zerfall von Zuständen, die im regulären Gebiet lokalisiert sind, in die sogenannte chaotische See beschreibt. Dazu wird ein fiktives integrables System konstruiert, das im regulären Bereich eine nahezu gleiche Dynamik aufweist und diese Dynamik in das chaotische Gebiet fortsetzt. Die Theorie zeigt eine ausgezeichnete Übereinstimmung mit numerischen Daten für gekickte Systeme, Billards und optische Mikrokavitäten, falls nichtlineare Resonanzketten vernachlässigbar sind. Semiklassisch jedoch bestimmen diese nichtlinearen Resonanzketten den Tunnelprozess. Daher kombinieren wir unseren Zugang mit einer verbesserten Theorie des Resonanz-unterstützten Tunnelns und erhalten eine Vorhersage,die vom Quanten- bis in den semiklassischen Bereich gültig ist. Ihre Resultate zeigen eine Genauigkeit, die verglichen mit früheren Theorien um mehrere Größenordnungen verbessert wurde
Schilling, Lars. "Direct dynamical tunneling in systems with a mixed phase space." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2007. http://nbn-resolving.de/urn:nbn:de:swb:14-1184857765287-05752.
Full textDer 1D Tunneleffekt bezeichnet das Durchdringen einer klassisch nicht überwindbaren potentiellen Energiebarriere durch Quantenteilchen. Eine Verallgemeinerung des Tunnelbegriffs ist die Erweiterung auf jegliche Art von klassisch verbotenen Übergangsprozessen im Phasenraum. Der Phasenraum eines typischen 1D Hamiltonschen Systems ist gemischt. Er besteht aus Bereichen regulärer und chaotischer Dynamik, den sogenannten regulären Inseln und der chaotischen See. Während diese verschiedenen Phasenraumbereiche klassisch durch dynamisch generierte Barrieren voneinander getrennt sind, existiert quantenmechanisch jedoch eine Verknüpfung durch den dynamischen Tunnelprozess. In dieser Arbeit wird eine semiklassische Quantisierung von praktisch resonanz-freien regulären Inseln und transportierenden Inselketten von Quantenabbildungen durchgeführt. Die daraus folgenden sogenannten Quasimoden werden für die Untersuchung des direkten dynamischen Tunnelns aus einer praktisch resonanz-freien regulären Insel in die chaotische See verwendet, was auf eine Tunnelraten vorhersagende Formel führt. Ihre anschlie?ßende Anwendung auf zwei Modellsysteme zeigt eine gute Übereinstimmung zwischen Numerik und analytischer Vorhersage über viele Größenordnungen
Schilling, Lars. "Direct dynamical tunneling in systems with a mixed phase space." Doctoral thesis, Technische Universität Dresden, 2006. https://tud.qucosa.de/id/qucosa%3A23944.
Full textDer 1D Tunneleffekt bezeichnet das Durchdringen einer klassisch nicht überwindbaren potentiellen Energiebarriere durch Quantenteilchen. Eine Verallgemeinerung des Tunnelbegriffs ist die Erweiterung auf jegliche Art von klassisch verbotenen Übergangsprozessen im Phasenraum. Der Phasenraum eines typischen 1D Hamiltonschen Systems ist gemischt. Er besteht aus Bereichen regulärer und chaotischer Dynamik, den sogenannten regulären Inseln und der chaotischen See. Während diese verschiedenen Phasenraumbereiche klassisch durch dynamisch generierte Barrieren voneinander getrennt sind, existiert quantenmechanisch jedoch eine Verknüpfung durch den dynamischen Tunnelprozess. In dieser Arbeit wird eine semiklassische Quantisierung von praktisch resonanz-freien regulären Inseln und transportierenden Inselketten von Quantenabbildungen durchgeführt. Die daraus folgenden sogenannten Quasimoden werden für die Untersuchung des direkten dynamischen Tunnelns aus einer praktisch resonanz-freien regulären Insel in die chaotische See verwendet, was auf eine Tunnelraten vorhersagende Formel führt. Ihre anschlie?ßende Anwendung auf zwei Modellsysteme zeigt eine gute Übereinstimmung zwischen Numerik und analytischer Vorhersage über viele Größenordnungen.
Rossi, Luca. "Poincaré recurrences in mixed dynamical systems and in genomic sequences=[Récurrences de Poincaré dans les systèmes dynamiques mixtes et dans les séquences génomiques]." Toulon, 2006. http://www.theses.fr/2006TOUL0018.
Full textIn the case of mixed dynamical systems, for domains intersecting the boundary between two regions invariant with respect to the dynamics, the distributions of the number of visits are given by a linear combination of the distributions characteristic of each region. This result allows to understand the appearance of an asymptotic power law decay, and it has been confirmed by the numerical analysis on the standard map. When regular and chaotic behaviours coexist. The application of Poincare recurrences to the study of coding and noncoding genomic sequences shows an exponential decay for both kind of sequences, which seem therefore to behave as strongly mixing systems. To conclude, Poincare recurrences appear capable to capture some of the fundamental features of dynamical systems
Defterli, Ozlem. "Modern Mathematical Methods In Modeling And Dynamics Ofregulatory Systems Of Gene-environment Networks." Phd thesis, METU, 2011. http://etd.lib.metu.edu.tr/upload/12613592/index.pdf.
Full texts method and 4th-order classical Runge-Kutta method are newly introduced, iteration formulas are derived and corresponding matrix algebras are newly obtained. We use nonlinear mixed-integer programming for the parameter estimation and present the solution of a constrained and regularized given mixed-integer problem. By using this solution and applying the 3rd-order Heun&rsquo
s and 4th-order classical Runge-Kutta methods in the timediscretized model, we generate corresponding time-series of gene-expressions by this thesis. Two illustrative numerical examples are studied newly with an artificial data set and a realworld data set which expresses a real phenomenon. All the obtained approximate results are compared to see the goodness of the new schemes. Different step-size analysis and sensitivity tests are also investigated to obtain more accurate and stable predictions of time-series results for a better service in the real-world application areas. The presented time-continuous and time-discrete dynamical models are identified based on given data, and studied by means of an analytical theory and stability theories of rarefication, regularization and robustification.
Batista, Levy. "Identification de systèmes dynamiques linéaires à effets mixtes : applications aux dynamiques de populations cellulaires." Thesis, Université de Lorraine, 2017. http://www.theses.fr/2017LORR0224.
Full textSystem identification is a data-driven input-output modeling approach more and more used in biology and biomedicine. In this application context, methods of experimental design are often used to test effects of qualitative factors on the response and each assay is always replicated to estimate the reproducibility of outcomes. The inference of the modeling conclusions to the whole population requires to account within the modeling procedure for the explained variability (fixed effects) and the unexplained variabilities (random effects) between the individual responses. One solution consists in using mixed effects models but up to now no similar approach exists in the system identification literature. The objective of this thesis is to fill this gap by using hierarchical model structures introducing mixed effects within polynomial black-box representations of linear dynamical systems. A new method is developed to estimate parameters of model structures such as ARX or Box-Jenkins. A solution is also proposed to compute the Fisher’s matrix. Finally, three application studies are carried out and emphasize the practical relevance of the proposed approach to identify populations of dynamical systems
Singh, Vidisha. "Integrative analysis and modeling of molecular pathways dysregulated in rheumatoid arthritis Computational systems biology approach for the study of rheumatoid arthritis: from a molecular map to a dynamical model RA-map: building a state-of-the-art interactive knowledge base for rheumatoid arthritis Automated inference of Boolean models from molecular interaction maps using CaSQ." Thesis, université Paris-Saclay, 2020. http://www.theses.fr/2020UPASL039.
Full textRheumatoid arthritis (RA) is a complexautoimmune disease that results in synovial inflammationand hyperplasia leading to bone erosion and cartilagedestruction in the joints. The aetiology of RA remainspartially unknown, yet, it involves a variety of intertwinedsignalling cascades and the expression of pro-inflammatorymediators. In the first part of my PhD project, we present asystematic effort to construct a fully annotated, expertvalidated, state of the art knowledge-base for RA. The RAmap illustrates significant molecular and signallingpathways implicated in the disease. Signal transduction isdepicted from receptors to the nucleus systematically usingthe systems biology graphical notation (SBGN) standardrepresentation. Manual curation based on strict criteria andrestricted to only human-specific studies limits theoccurrence of false positives in the map. The RA map canserve as an interactive knowledge base for the disease butalso as a template for omic data visualization and as anexcellent base for the development of a computationalmodel. The static nature of the RA map could provide arelatively limited understanding of the emerging behaviorof the system under different conditions. Computationalmodeling can reveal dynamic network properties throughin silico perturbations and can be used to test and predictassumptions.In the second part of the project, we present a pipelineallowing the automated construction of a large Booleanmodel, starting from a molecular interaction map. For thispurpose, we developed the tool CaSQ (CellDesigner asSBML-qual), which automates the conversion ofmolecular maps to executable Boolean models based ontopology and map semantics. The resulting Booleanmodel could be used for in silico simulations to reproduceknown biological behavior of the system and to furtherpredict novel therapeutic targets. For benchmarking, weused different disease maps and models with a focus onthe large molecular map for RA.In the third part of the project we present our efforts tocreate a large scale dynamical (Boolean) model forrheumatoid arthritis fibroblast-like synoviocytes (RAFLS).Among many cells of the joint and of the immunesystem involved in the pathogenesis of RA, RA FLS playa significant role in the initiation and perpetuation ofdestructive joint inflammation. RA-FLS are shown toexpress immuno-modulating cytokines, adhesionmolecules, and matrix-modelling enzymes. Moreover,RA-FLS display high proliferative rates and an apoptosisresistantphenotype. RA-FLS can also behave as primarydrivers of inflammation, and RA FLS-directed therapiescould become a complementary approach to immunedirectedtherapies. The challenge is to predict the optimalconditions that would favour RA FLS apoptosis, limitinflammation, slow down the proliferation rate andminimize bone erosion and cartilage destruction
Niyogi, Partha, and Robert Berwick. "The Logical Problem of Language Change." 1995. http://hdl.handle.net/1721.1/7196.
Full textBooks on the topic "Mixed Logical Dynamical Systems"
Reiter, Raymond. Knowledge in Action: Logical Foundations for Specifying and Implementing Dynamical Systems. MIT Press, 2001.
Find full textReiter, Raymond. Knowledge in Action: Logical Foundations for Specifying and Implementing Dynamical Systems. MIT Press, 2001.
Find full textReiter, Raymond. Knowledge in Action - Logical Foundations for Specifying and Implementing Dynamical Systems. MIT Press, 2014.
Find full textKnowledge in Action: Logical Foundations for Specifying and Implementing Dynamical Systems. The MIT Press, 2001.
Find full textNolte, David D. Introduction to Modern Dynamics. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198844624.001.0001.
Full textHerminghaus, S. Where grains and fluids meet: the complex physics of wet granular matter. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198789352.003.0009.
Full textBusuioc, Aristita, and Alexandru Dumitrescu. Empirical-Statistical Downscaling: Nonlinear Statistical Downscaling. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.770.
Full textRoșu, Felicia. Elective Monarchy in Transylvania and Poland-Lithuania, 1569-1587. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198789376.001.0001.
Full textBook chapters on the topic "Mixed Logical Dynamical Systems"
Munoz-Hernandez, German Ardul, Sa’ad Petrous Mansoor, and Dewi Ieuan Jones. "Predictive Controller of Mixed Logical Dynamical Systems." In Advances in Industrial Control, 239–59. London: Springer London, 2012. http://dx.doi.org/10.1007/978-1-4471-2291-3_12.
Full textMa, Hongbo, and Shanben Chen. "Mixed Logical Dynamical Model for Robotic Welding System." In Lecture Notes in Electrical Engineering, 123–28. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19959-2_15.
Full textDomek, Stefan. "Mixed Logical Dynamical Modeling of Discrete-Time Hybrid Fractional Systems." In Studies in Systems, Decision and Control, 77–105. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-89972-1_3.
Full textHalbaoui, K., M. F. Belazreg, D. Boukhetala, and M. H. Belhouchat. "Modeling and Predictive Control of Nonlinear Hybrid Systems Using Mixed Logical Dynamical Formalism." In Advances and Applications in Nonlinear Control Systems, 421–50. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-30169-3_19.
Full textDelvenne, Jean-Charles. "Turing Universality in Dynamical Systems." In Logical Approaches to Computational Barriers, 147–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11780342_16.
Full textPlatzer, André. "Dynamical Systems & Dynamic Axioms." In Logical Foundations of Cyber-Physical Systems, 137–72. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-63588-0_5.
Full textFages, François, and Pauline Traynard. "Temporal Logic Modeling of Dynamical Behaviors: First-Order Patterns and Solvers." In Logical Modeling of Biological Systems, 291–323. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781119005223.ch8.
Full textNaldi, Aurélien, Elisabeth Remy, Denis Thieffry, and Claudine Chaouiya. "A Reduction of Logical Regulatory Graphs Preserving Essential Dynamical Properties." In Computational Methods in Systems Biology, 266–80. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-03845-7_18.
Full textEsterhuizen, Willem, and Jean Lévine. "From Pure State and Input Constraints to Mixed Constraints in Nonlinear Systems." In Feedback Stabilization of Controlled Dynamical Systems, 125–41. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-51298-3_5.
Full textAmblard, Paul. "A Finite State Description of the Earliest Logical Computer: The Jevons’ Machine." In Mixed Design of Integrated Circuits and Systems, 195–202. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5651-0_30.
Full textConference papers on the topic "Mixed Logical Dynamical Systems"
Guoqi, Ma, Qin Linlin, Liu Xinghua, and Wu Gang. "Sliding mode control for mixed logical dynamical systems." In 2015 34th Chinese Control Conference (CCC). IEEE, 2015. http://dx.doi.org/10.1109/chicc.2015.7260156.
Full textDu, Yaoqiong, Yizhou Wang, and Ching-Yao Chan. "Autonomous lane-change controller via mixed logical dynamical." In 2014 IEEE 17th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2014. http://dx.doi.org/10.1109/itsc.2014.6957843.
Full textKaraman, Sertac, Ricardo G. Sanfelice, and Emilio Frazzoli. "Optimal control of Mixed Logical Dynamical systems with Linear Temporal Logic specifications." In 2008 47th IEEE Conference on Decision and Control. IEEE, 2008. http://dx.doi.org/10.1109/cdc.2008.4739370.
Full textSilva, M. P., A. Bemporad, M. A. Botto, and J. Sa da Costa. "Optimal control of uncertain piecewise affine/mixed logical dynamical systems." In 2003 European Control Conference (ECC). IEEE, 2003. http://dx.doi.org/10.23919/ecc.2003.7085186.
Full textYaakoubi, Hanen, and Joseph Haggege. "Modeling of Three-Tank Hybrid System using Mixed Logical Dynamical formalism." In 2022 5th International Conference on Advanced Systems and Emergent Technologies (IC_ASET). IEEE, 2022. http://dx.doi.org/10.1109/ic_aset53395.2022.9765937.
Full textYuya Tanaka, Yasuo Konishi, Nozomu Araki, and Hiroyuki Ishigaki. "Control of container crane by binary input using Mixed Logical Dynamical system." In 2008 International Conference on Control, Automation and Systems (ICCAS). IEEE, 2008. http://dx.doi.org/10.1109/iccas.2008.4694521.
Full textUshio, Toshimitsu, Masaki Hiromoto, Akiyoshi Okamoto, and Tomoaki Akiyama. "WiP Abstract: A Mixed Logical Dynamical System Model for Taxi Cruising Support System." In 2016 ACM/IEEE 7th International Conference on Cyber-Physical Systems (ICCPS). IEEE, 2016. http://dx.doi.org/10.1109/iccps.2016.7479123.
Full textJiang, Yongxiang, Linlin Qin, Quan Qiu, Wengang Zheng, and Guoqi Ma. "Greenhouse humidity system modeling and controlling based on mixed logical dynamical." In 2014 33rd Chinese Control Conference (CCC). IEEE, 2014. http://dx.doi.org/10.1109/chicc.2014.6895614.
Full textShu Li, Jihang Cheng, Yanfeng Cong, and Xingwen Dong. "Automotive engine idle speed control based on Mixed Logical Dynamical system." In 2008 7th World Congress on Intelligent Control and Automation. IEEE, 2008. http://dx.doi.org/10.1109/wcica.2008.4593157.
Full textWakasa, Takuma, Yoshiki Nagatani, Kenji Sawada, and Seiichi Shin. "Switched Pinning Control for Vehicle Platoons via Mixed Logical Dynamical Modeling*." In 2020 IEEE/SICE International Symposium on System Integration (SII). IEEE, 2020. http://dx.doi.org/10.1109/sii46433.2020.9026268.
Full textReports on the topic "Mixed Logical Dynamical Systems"
Zhao, Feng. Practical Control Algorithms for Nonlinear Dynamical Systems Using Phase-Space Knowledge and Mixed Numeric and Geometric Computation. Fort Belvoir, VA: Defense Technical Information Center, October 1997. http://dx.doi.org/10.21236/ada330093.
Full textZhao, Feng. Practical Control Algorithms for Nonlinear Dynamical Systems Using Phase-Space Knowledge and Mixed Numeric and Geometric Computation. Fort Belvoir, VA: Defense Technical Information Center, September 1998. http://dx.doi.org/10.21236/ada353610.
Full text