Results 131 to 140 of about 1,794,969 (184)
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Resonance, 2000
Let us first consider the context of discrete-time systems. Input and output signals are no longer physical quantities, but sequences of dimensionless numbers. Having in mind a physical meaning behind a discrete-time signal, the physical quantity can always be recovered by multiplying the numbers of the sequence by a reference value of this quantity ...
A. Ramakalyan +2 more
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Let us first consider the context of discrete-time systems. Input and output signals are no longer physical quantities, but sequences of dimensionless numbers. Having in mind a physical meaning behind a discrete-time signal, the physical quantity can always be recovered by multiplying the numbers of the sequence by a reference value of this quantity ...
A. Ramakalyan +2 more
+4 more sources
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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2021
In the chapter, Discrete-time Systems, system classification, system response, system stability and realization of systems are presented. The discretization of continuous systems into discrete-time systems if first presented. Computation of the response of discrete-time systems by iteration, solving the difference equation and by convolution are ...
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In the chapter, Discrete-time Systems, system classification, system response, system stability and realization of systems are presented. The discretization of continuous systems into discrete-time systems if first presented. Computation of the response of discrete-time systems by iteration, solving the difference equation and by convolution are ...
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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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1977
State-variable analysis has been developed entirely in terms of continuous systems, but the same principles and methods can be applied to discrete-time systems. In such systems, variables may change only at discrete intervals of time, the system being analogous to a difference equation.
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State-variable analysis has been developed entirely in terms of continuous systems, but the same principles and methods can be applied to discrete-time systems. In such systems, variables may change only at discrete intervals of time, the system being analogous to a difference equation.
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Linearization of Discrete-Time Systems
SIAM Journal on Control and Optimization, 1996The paper deals with discrete-time nonlinear systems of the form \(x(k+1) = f(x(k), u(k))\) with \(x(\cdot) \in \mathbb{R}^n\) and \(u(\cdot) \in \mathbb{R}^m\) and \(f\) an analytic map. Using an algebraic formalism based on tools from difference algebra and exterior differential systems, a characterization of accessibility of the system is found ...
Aranda Bricaire, Eduardo +2 more
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Invertibility of Discrete-Time Systems
IFAC Proceedings Volumes, 1992Abstract Formulae which permit the computation of the rank of discrete-time systems are given. We are utilizing some classical mathematical tools, such as the notion of filtrations and the associated Hilbert polynomials.
S. El Asml, M. Fliess
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Linearizing Discrete-Time Hybrid Systems
IEEE Transactions on Automatic Control, 2017Model-based design approaches for embedded systems aim at generating correct-by-construction control software, guaranteeing that the closed-loop system (controller and plant) meets given system level formal specifications. This technical note addresses control synthesis for safety and reachability properties of possibly nonlinear discrete-time hybrid ...
ALIMGUZHIN, VADIM +4 more
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1991
A signal is defined as continuous within a time range if its amplitude is specified for all t in that range, except possibly at a finite number of discontinuities. If a continuous time variable is quantized, that is, if t is represented by a set of distinct values denoted by tk, where k takes on positive integer values exclusively, the signal is ...
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A signal is defined as continuous within a time range if its amplitude is specified for all t in that range, except possibly at a finite number of discontinuities. If a continuous time variable is quantized, that is, if t is represented by a set of distinct values denoted by tk, where k takes on positive integer values exclusively, the signal is ...
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Nonlinear Systems in Discrete Time
1986The paper deals with a survey presentation of recent results obtained in the area of nonlinear discrete time systems following an approach based on the functional expansions of the state and output behaviours.
MONACO, Salvatore, Normand Cyrot D.
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