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Relevant bibliographies by topics / Discrete-time systems

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Academic literature on the topic 'Discrete-time systems'

Author: Grafiati

Published: 4 June 2021

Last updated: 29 July 2024

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Journal articles on the topic "Discrete-time systems"

1

Ramakalyan, A., P. Kavitha, and S. Harini Vijayalakshmi. "Discrete-time systems." Resonance 5, no. 4 (April 2000): 91–96. http://dx.doi.org/10.1007/bf02837910.

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Ramakalyan, A., P. Kavitha, and S. Harini Vijayalakshmi. "Discrete-time systems." Resonance 5, no. 2 (February 2000): 39–49. http://dx.doi.org/10.1007/bf02838822.

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Ortigueira, Manuel D., Fernando J. V. Coito, and Juan J. Trujillo. "Discrete-time differential systems." Signal Processing 107 (February 2015): 198–217. http://dx.doi.org/10.1016/j.sigpro.2014.03.004.

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Zagalak, Petr. "Discrete-time control systems." Automatica 33, no. 12 (December 1997): 2281–82. http://dx.doi.org/10.1016/s0005-1098(97)00139-8.

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Halme, A. "Discrete-time control systems." Automatica 25, no. 5 (September 1989): 788–89. http://dx.doi.org/10.1016/0005-1098(89)90039-3.

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Norton, J. P. "Discrete-time control systems." Chemical Engineering Science 43, no. 5 (1988): 1218. http://dx.doi.org/10.1016/0009-2509(88)85088-7.

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Suris, Yuri B. "Discrete time Toda systems." Journal of Physics A: Mathematical and Theoretical 51, no. 33 (July 5, 2018): 333001. http://dx.doi.org/10.1088/1751-8121/aacbdc.

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Else, Dominic V., Christopher Monroe, Chetan Nayak, and Norman Y. Yao. "Discrete Time Crystals." Annual Review of Condensed Matter Physics 11, no. 1 (March 10, 2020): 467–99. http://dx.doi.org/10.1146/annurev-conmatphys-031119-050658.

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Experimental advances have allowed for the exploration of nearly isolated quantum many-body systems whose coupling to an external bath is very weak. A particularly interesting class of such systems is those that do not thermalize under their own isolated quantum dynamics. In this review, we highlight the possibility for such systems to exhibit new nonequilibrium phases of matter. In particular, we focus on discrete time crystals, which are many-body phases of matter characterized by a spontaneously broken discrete time-translation symmetry. We give a definition of discrete time crystals from several points of view, emphasizing that they are a nonequilibrium phenomenon that is stabilized by many-body interactions, with no analog in noninteracting systems. We explain the theory behind several proposed models of discrete time crystals, and compare several recent realizations, in different experimental contexts.

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LEE, H. G., A. ARAPOSTATHIS, and S. I. MARCUS. "Linearization of discrete-time systems." International Journal of Control 45, no. 5 (May 1987): 1803–22. http://dx.doi.org/10.1080/00207178708933847.

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Kohli, Teena, Suman Panwar, and S. K. Kaushik. "On Discrete Time Wilson Systems." Journal of Mathematics 2020 (November 30, 2020): 1–12. http://dx.doi.org/10.1155/2020/8426897.

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In this paper, we define the discrete time Wilson frame (DTW frame) for l 2 ℤ and discuss some properties of discrete time Wilson frames. Also, we give an interplay between DTW frames and discrete time Gabor frames. Furthermore, a necessary and a sufficient condition for the DTW frame in terms of Zak transform are given. Moreover, the frame operator for the DTW frame is obtained. Finally, we discuss dual pair of frames for discrete time Wilson systems and give a sufficient condition for their existence.

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Dissertations / Theses on the topic "Discrete-time systems"

1

Jerbi, Ali. "Adaptive control of time-varying discrete-time systems." Diss., Georgia Institute of Technology, 1994. http://hdl.handle.net/1853/15743.

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Walker, Daniel James. "Robust control of discrete time systems." Thesis, Imperial College London, 1992. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.321140.

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El-Bialy, Ahmed Mohamed. "Control of multiplicative discrete-time systems." Case Western Reserve University School of Graduate Studies / OhioLINK, 1990. http://rave.ohiolink.edu/etdc/view?acc_num=case1055262732.

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Haddleton, Steven W. "Steady-state performance of discrete linear time-invariant systems /." Online version of thesis, 1994. http://hdl.handle.net/1850/11795.

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Lawford, Mark Stephen. "Model reduction of discrete real-time systems." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp02/NQ27988.pdf.

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Dan-Isa, Ado. "Discrete-time design for computer controlled systems." Thesis, University of Sussex, 1995. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.283145.

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Zhao, Yong 1980. "Discrete-time observers for inertial navigation systems." Thesis, Massachusetts Institute of Technology, 2004. http://hdl.handle.net/1721.1/17956.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Mechanical Engineering, 2004.
Includes bibliographical references (p. 65-66).
In this thesis, we derive an exact deterministic nonlinear observer to compute the continuous-time states of inertial navigation system based on partial discrete measurements, the so-called strapdown problem. Nonlinear contraction theory is used as the main analysis tool. The hierarchical structure of the system physics is sytematically exploited and the use of nonlinear measurements, such as distances to time-varying reference points, is discussed. Effects of bounded errors on model and measurements are quantified, and can be used for active measurement selection. Work on vehicle state computation is carried out by using a similar observer design method. Finally, the approach is used to compute the head orientation of a simulated planar hopping robot, where the information provided by the observer is used for head stabilization and obstacle jump.
by Yong Zhao.
S.M.

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Dale, Wilbur Nolan. "Stabilization and robust stability of discrete-time, time- varying systems /." The Ohio State University, 1991. http://rave.ohiolink.edu/etdc/view?acc_num=osu1487694389393404.

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Riffer, Jennifer Lynn. "Time-optimal control of discrete-time systems with known waveform disturbances." [Milwaukee, Wis.] : e-Publications@Marquette, 2009. http://epublications.marquette.edu/theses_open/18.

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Iglesias, Pablo Alberto. "Robust and adaptive control for discrete-time systems." Thesis, University of Cambridge, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.386123.

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Books on the topic "Discrete-time systems"

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Söderström, T. Discrete-time Stochastic Systems. London: Springer London, 2002. http://dx.doi.org/10.1007/978-1-4471-0101-7.

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Gu, Guoxiang. Discrete-Time Linear Systems. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-2281-5.

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Zhang, Kuize, Lijun Zhang, and Lihua Xie. Discrete-Time and Discrete-Space Dynamical Systems. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-25972-3.

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Halanay, Aristide, and Vlad Ionescu. Time-Varying Discrete Linear Systems. Basel: Birkhäuser Basel, 1994. http://dx.doi.org/10.1007/978-3-0348-8499-0.

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Ludyk, Günter. Stability of Time-Variant Discrete-Time Systems. Wiesbaden: Vieweg+Teubner Verlag, 1985. http://dx.doi.org/10.1007/978-3-663-13932-4.

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Ludyk, Günter. Stability of time-variant discrete-time systems. Braunschweig: Vieweg, 1985.

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Ludyk, Günter. Stability of time-variant discrete-time systems. Braunschweig: Friedr. Vieweg, 1985.

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Cassandras, Christos G. Introduction to discrete event systems. 2nd ed. New York: Springer, 2011.

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Ackermann, Jurgen. Sampled-data control systems: Analysis and synthesis, robust system design. Berlin: Springer-Verlag, 1985.

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Hasegawa, Yasumichi. Control Problems of Discrete-Time Dynamical Systems. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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Book chapters on the topic "Discrete-time systems"

1

Blower, Gordon. "Discrete Time Systems." In Linear Systems, 255–88. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-21240-6_8.

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Perdikaris, George A. "Discrete-Time Systems." In Computer Controlled Systems, 139–234. Dordrecht: Springer Netherlands, 1991. http://dx.doi.org/10.1007/978-94-015-7929-2_3.

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Schlichthärle, Dietrich. "Discrete-Time Systems." In Digital Filters, 51–67. Berlin, Heidelberg: Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-662-04170-3_3.

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Asadi, Farzin. "Discrete Time Systems." In Signals and Systems with MATLAB® and Simulink®, 267–84. Cham: Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-45622-0_11.

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Esakkirajan, S., T. Veerakumar, and Badri N. Subudhi. "Discrete-Time Systems." In Digital Signal Processing, 123–65. Singapore: Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-6752-0_4.

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Karafyllis, Iasson, and Miroslav Krstic. "Discrete-Time Systems." In Predictor Feedback for Delay Systems: Implementations and Approximations, 251–78. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-42378-4_8.

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Utkin, Vadim, Alex Poznyak, Yury V. Orlov, and Andrey Polyakov. "Discrete-Time Systems." In SpringerBriefs in Mathematics, 91–97. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-41709-3_8.

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Sundararajan, D. "Discrete-Time Systems." In Digital Signal Processing, 37–64. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-62368-5_2.

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Schlichthärle, Dietrich. "Discrete-Time Systems." In Digital Filters, 85–105. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14325-0_3.

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Hernández-Guzmán, Victor Manuel, Ramón Silva-Ortigoza, and Jorge Alberto Orrante-Sakanassi. "Discrete-Time Systems." In Automatic Control with Experiments, 489–556. Cham: Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-55960-0_8.

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Conference papers on the topic "Discrete-time systems"

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Elliott, D. L. "Discrete-time systems on manifolds." In 29th IEEE Conference on Decision and Control. IEEE, 1990. http://dx.doi.org/10.1109/cdc.1990.203952.

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Dong, Xiaoning, and Guanrong Chen. "Controlling Discrete-Time Chaotic Systems." In 1992 American Control Conference. IEEE, 1992. http://dx.doi.org/10.23919/acc.1992.4792532.

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Amato, F., M. Carbone, M. Ariola, and C. Cosentino. "Finite-time stability of discrete-time systems." In Proceedings of the 2004 American Control Conference. IEEE, 2004. http://dx.doi.org/10.23919/acc.2004.1386778.

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Touri, B., and A. Nedic. "Discrete-time opinion dynamics." In 2011 45th Asilomar Conference on Signals, Systems and Computers. IEEE, 2011. http://dx.doi.org/10.1109/acssc.2011.6190199.

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Postoyan, Romain, and Dragan Nesic. "Time-triggered control of nonlinear discrete-time systems." In 2016 IEEE 55th Conference on Decision and Control (CDC). IEEE, 2016. http://dx.doi.org/10.1109/cdc.2016.7799318.

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Blachuta, M. J. "Continuous-time design of discrete-time control systems." In 1997 European Control Conference (ECC). IEEE, 1997. http://dx.doi.org/10.23919/ecc.1997.7082395.

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Zhou, Jian, Rajab Challoo, and Songjian Wu. "Multi Time-Scale Approach for Discrete-Time Systems." In 1991 American Control Conference. IEEE, 1991. http://dx.doi.org/10.23919/acc.1991.4791513.

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Meiyan Cong, Xiaowu Mu, and Jianyin Fang. "Stabilization of discrete-time switched systems." In 2008 7th World Congress on Intelligent Control and Automation. IEEE, 2008. http://dx.doi.org/10.1109/wcica.2008.4593581.

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Hoagg, J. B., and D. S. Bernstein. "Robust stabilization of discrete-time systems." In 2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601). IEEE, 2004. http://dx.doi.org/10.1109/cdc.2004.1428745.

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Katz, Rami, Michael Margaliot, and Emilia Fridman. "On Totally Positive Discrete- Time Systems." In 2019 27th Mediterranean Conference on Control and Automation (MED). IEEE, 2019. http://dx.doi.org/10.1109/med.2019.8798530.

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Reports on the topic "Discrete-time systems"

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Savov, Svetoslav, and Ivan Popchev. Stability Tests for Discrete-time Polytopic Systems. "Prof. Marin Drinov" Publishing House of Bulgarian Academy of Sciences, September 2018. http://dx.doi.org/10.7546/crabs.2018.09.10.

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Wong-Toi, Howard, and Gerard Hoffmann. The Control of Dense Real-Time Discrete Event Systems,. Fort Belvoir, VA: Defense Technical Information Center, March 1992. http://dx.doi.org/10.21236/ada325997.

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Lee, Hong-Gi, and Steven I. Marcus. Approximate and Local Linearizability of Nonlinear Discrete-Time Systems,. Fort Belvoir, VA: Defense Technical Information Center, January 1986. http://dx.doi.org/10.21236/ada174623.

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Premaratne, Kamal, and A. S. Boujarwah. An Algorithm for Stability Determination of Two-Dimensional Delta- Operator Formulated Discrete-Time Systems. Fort Belvoir, VA: Defense Technical Information Center, June 1993. http://dx.doi.org/10.21236/ada283070.

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Bauer, Peter H. High-Speed Fixed and Floating Point Implementation of Delta-Operator Formulated Discrete Time Systems. Fort Belvoir, VA: Defense Technical Information Center, February 1995. http://dx.doi.org/10.21236/ada301060.

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Sowers, Richard B., and Armand M. Makowski. On the Effects of the Initial Condition in State Estimation for Discrete-Time Linear Systems. Fort Belvoir, VA: Defense Technical Information Center, January 1992. http://dx.doi.org/10.21236/ada454943.

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Salama, A. I. A. Design techniques of digital proportional-plus-integral and proportional-plus-integral-plus-derivative controllers for linear discrete-time multivariable systems. Natural Resources Canada/ESS/Scientific and Technical Publishing Services, 1986. http://dx.doi.org/10.4095/304873.

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Saptsin, Vladimir, and Володимир Миколайович Соловйов. Relativistic quantum econophysics – new paradigms in complex systems modelling. [б.в.], July 2009. http://dx.doi.org/10.31812/0564/1134.

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This work deals with the new, relativistic direction in quantum econophysics, within the bounds of which a change of the classical paradigms in mathematical modelling of socio-economic system is oﬀered. Classical physics proceeds from the hypothesis that immediate values of all the physical quantities, characterizing system’s state, exist and can be accurately measured in principle. Non-relativistic quantum mechanics does not reject the existence of the immediate values of the classical physical quantities, nevertheless not each of them can be simultaneously measured (the uncertainty principle). Relativistic quantum mechanics rejects the existence of the immediate values of any physical quantity in principle, and consequently the notion of the system state, including the notion of the wave function, which becomes rigorously nondeﬁnable. The task of this work consists in econophysical analysis of the conceptual fundamentals and mathematical apparatus of the classical physics, relativity theory, non-relativistic and relativistic quantum mechanics, subject to the historical, psychological and philosophical aspects and modern state of the socio-economic modeling problem. We have shown that actually and, virtually, a long time ago, new paradigms of modeling were accepted in the quantum theory, within the bounds of which the notion of the physical quantity operator becomes the primary fundamental conception(operator is a mathematical image of the procedure, the action), description of the system dynamics becomes discrete and approximate in its essence, prediction of the future, even in the rough, is actually impossible when setting aside the aftereﬀect i.e. the memory. In consideration of the analysis conducted in the work we suggest new paradigms of the economical-mathematical modeling.

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Ruth, Brian G. Discrete Time Integrated Analysis Methodology for a Ground Combat System. Fort Belvoir, VA: Defense Technical Information Center, July 1999. http://dx.doi.org/10.21236/ada366972.

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Kularatne, Dhanushka N., Subhrajit Bhattacharya, and M. Ani Hsieh. Computing Energy Optimal Paths in Time-Varying Flows. Drexel University, 2016. http://dx.doi.org/10.17918/d8b66v.

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Autonomous marine vehicles (AMVs) are typically deployed for long periods of time in the ocean to monitor different physical, chemical, and biological processes. Given their limited energy budgets, it makes sense to consider motion plans that leverage the dynamics of the surrounding flow field so as to minimize energy usage for these vehicles. In this paper, we present two graph search based methods to compute energy optimal paths for AMVs in two-dimensional (2-D) time-varying flows. The novelty of the proposed algorithms lies in a unique discrete graph representation of the 3-D configuration space spanned by the spatio-temporal coordinates. This enables a more efficient traversal through the search space, as opposed to a full search of the spatio-temporal configuration space. Furthermore, the proposed strategy results in solutions that are closer to the global optimal when compared to greedy searches through the spatial coordinates alone. We demonstrate the proposed algorithms by computing optimal energy paths around the Channel Islands in the Santa Barbara bay using time-varying flow field forecasts generated by the Regional Ocean Model System. We verify the accuracy of the computed paths by comparing them with paths computed via an optimal control formulation.

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