Results 231 to 240 of about 1,979,033 (284)
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On “Superstable” discrete systems
Automation and Remote Control, 2007zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Physics Letters A, 1992
Abstract An integrable discrete-time version of the Neumann system is presented. It obtains from the Toda-lattice spectral problem by requiring the potential to be restricted to a suitable finite-dimensional manifold. The analogy with the continuous Neumann system is explained. Some interesting open problems are briefly outlined.
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Abstract An integrable discrete-time version of the Neumann system is presented. It obtains from the Toda-lattice spectral problem by requiring the potential to be restricted to a suitable finite-dimensional manifold. The analogy with the continuous Neumann system is explained. Some interesting open problems are briefly outlined.
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Discrete Systems and Flowcharts
IEEE Transactions on Software Engineering, 1978This paper points out the abstract similarities between problems arising in programming, discrete systems analysis in engineering, and network flow problems in operations research. The highly developed techniques of analyzing discrete systems of two terminal elements in electrical engineering become applicable to analyzing the complexity and execution ...
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Theory of Probability & Its Applications, 1963
Queuing systems are considered, in which calls arrive in batches of size $\xi $ and are served in batches of size $\eta $ the period of time between two successive arrivals of batches of calls is equal to $\tau $; the time of a service is equal to $\sigma $. The quantities $\xi $,$\eta $, $\tau $ and $\sigma $ are discrete random variables.
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Queuing systems are considered, in which calls arrive in batches of size $\xi $ and are served in batches of size $\eta $ the period of time between two successive arrivals of batches of calls is equal to $\tau $; the time of a service is equal to $\sigma $. The quantities $\xi $,$\eta $, $\tau $ and $\sigma $ are discrete random variables.
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2017
The last chapter of the book is devoted to the study of discrete-time systems with input delays.
Iasson Karafyllis, Miroslav Krstic
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The last chapter of the book is devoted to the study of discrete-time systems with input delays.
Iasson Karafyllis, Miroslav Krstic
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1998
The concept of complexity and complex discrete system (CDS) is considered, and different signs and properties of complex systems are discussed in this chapter. Different examples of complex systems are presented which will be used in following chapters to show the possibilities and syntax constructions of RAO language.
A. Artiba +2 more
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The concept of complexity and complex discrete system (CDS) is considered, and different signs and properties of complex systems are discussed in this chapter. Different examples of complex systems are presented which will be used in following chapters to show the possibilities and syntax constructions of RAO language.
A. Artiba +2 more
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Discrete Communication Systems
2021Abstract The book present essential theory and practice of the discrete communication systems design, based on the theory of discrete time stochastic processes, and their relation to the existing theory of digital communication systems.
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2020
Discretization of continuous-time models is considered. Definition of SM for discrete-time systems is presented. The behavior under uncertainties of discrete-time systems, controlled by SM, is briefly discussed.
Vadim Utkin +3 more
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Discretization of continuous-time models is considered. Definition of SM for discrete-time systems is presented. The behavior under uncertainties of discrete-time systems, controlled by SM, is briefly discussed.
Vadim Utkin +3 more
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2001
In this Chapter we present solved problems about discrete-time linear control systems. For the most part it will be a reprise of Chapter 3. It will emphasize both similarities and differences between the discrete-time and the continuous-time systems.
Branislav Kisačanin, Gyan C. Agarwal
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In this Chapter we present solved problems about discrete-time linear control systems. For the most part it will be a reprise of Chapter 3. It will emphasize both similarities and differences between the discrete-time and the continuous-time systems.
Branislav Kisačanin, Gyan C. Agarwal
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