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Find link is a tool written by Edward Betts.searching for Linear time-invariant system 27 found (61 total)
alternate case: linear time-invariant system
Exponential stability
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In control theory, a continuous linear time-invariant system (LTI) is exponentially stable if and only if the system has eigenvalues (i.e., the poles ofStable polynomial (786 words) [view diff] no match in snippet view article find links to article
mathematical theory of differential and difference equations. A linear, time-invariant system (see LTI system theory) is said to be BIBO stable if every boundedRosenbrock system matrix (420 words) [view diff] exact match in snippet view article find links to article
Rosenbrock system matrix or Rosenbrock's system matrix of a linear time-invariant system is a useful representation bridging state-space representationSeparation principle (687 words) [view diff] exact match in snippet view article find links to article
stable observer and a stable state feedback are designed for a linear time-invariant system (LTI system hereafter), then the combined observer and feedbackWeighting pattern (259 words) [view diff] no match in snippet view article find links to article
A weighting pattern for a linear dynamical system describes the relationship between an input u {\displaystyle u} and output y {\displaystyle y} . GivenHautus lemma (655 words) [view diff] exact match in snippet view article find links to article
control theory and in particular when studying the properties of a linear time-invariant system in state space form, the Hautus lemma (after Malo L. J. Hautus)First-order hold (957 words) [view diff] exact match in snippet view article find links to article
applying the hypothetical sequence of Dirac impulses, xs(t), to a linear time-invariant system, otherwise known as a linear filter with such characteristicsMinimum energy control (401 words) [view diff] no match in snippet view article find links to article
is the control u ( t ) {\displaystyle u(t)} that will bring a linear time invariant system to a desired state with a minimum expenditure of energy. LetLinear filter (2,743 words) [view diff] no match in snippet view article find links to article
invariant) in which case they can be analyzed exactly using LTI ("linear time-invariant") system theory revealing their transfer functions in the frequency domainAdditive state decomposition (1,269 words) [view diff] exact match in snippet view article find links to article
Here, the task yp → 0 is assigned to the linear time-invariant system (9) (a linear time-invariant system being simpler than a nonlinear one). On theMinimum phase (3,165 words) [view diff] no match in snippet view article find links to article
In control theory and signal processing, a linear, time-invariant system is said to be minimum-phase if the system and its inverse are causal and stableState variable (694 words) [view diff] no match in snippet view article find links to article
shown below, the state equations and output equations for a linear time invariant system can be expressed using coefficient matrices: A, B, C, and D AIntermodulation (2,532 words) [view diff] exact match in snippet view article find links to article
passband of the receiver. A linear time-invariant system cannot produce intermodulation. If the input of a linear time-invariant system is a signal of a singleAcoustic impedance (3,233 words) [view diff] exact match in snippet view article find links to article
current resulting from a voltage applied to the system. For a linear time-invariant system, the relationship between the acoustic pressure applied to theBode plot (4,721 words) [view diff] no match in snippet view article find links to article
example of analysis in the frequency domain. The Bode plot for a linear, time-invariant system with transfer function H ( s ) {\displaystyle H(s)} ( s {\displaystyleWiener deconvolution (1,318 words) [view diff] exact match in snippet view article find links to article
) {\displaystyle \ h(t)} is the known impulse response of a linear time-invariant system n ( t ) {\displaystyle \ n(t)} is some unknown additive noiseLamberto Tronchin (665 words) [view diff] no match in snippet view article find links to article
METHOD FOR ARTIFICIALLY REPRODUCING AN OUTPUT SIGNAL OF A NON-LINEAR TIME INVARIANT SYSTEM The "Tuned City" project: lecture at Wiels, Brussels TronchinSystem identification (2,278 words) [view diff] exact match in snippet view article find links to article
Generalized filtering Grey box completion and validation Hysteresis Linear time-invariant system theory Model order reduction Model selection Nonlinear autoregressiveDryden Wind Turbulence Model (1,330 words) [view diff] no match in snippet view article find links to article
through a process known as spectral factorization. Consider a linear time invariant system with a white noise input that has unit variance, transfer functionApplications of capacitors (2,584 words) [view diff] exact match in snippet view article find links to article
the filter design. A high-pass filter is usually modeled as a linear time-invariant system. It is sometimes called a low-cut filter or bass-cut filter.[1]Von Kármán wind turbulence model (1,652 words) [view diff] no match in snippet view article find links to article
through a process known as spectral factorization. Consider a linear time invariant system with a white noise input that has unit variance, transfer functionOhm's law (6,080 words) [view diff] exact match in snippet view article find links to article
s is a complex parameter, and A is a complex scalar. In any linear time-invariant system, all of the currents and voltages can be expressed with the sameFourier analysis (4,788 words) [view diff] exact match in snippet view article find links to article
coefficients into ordinary algebraic ones. Therefore, the behavior of a linear time-invariant system can be analyzed at each frequency independently. By the convolutionHead-related transfer function (3,365 words) [view diff] exact match in snippet view article find links to article
directional transfer function (DTF). The transfer function H(f) of any linear time-invariant system at frequency f is: H(f) = Output(f) / Input(f) One method usedConvolutional code (2,834 words) [view diff] exact match in snippet view article find links to article
{*}} denotes convolution. A convolutional encoder is a discrete linear time-invariant system. Every output of an encoder can be described by its own transferExponential response formula (4,083 words) [view diff] exact match in snippet view article find links to article
When the time-invariant system is also linear, it is called a linear time-invariant system (LTI system). Most of these LTI systems are derived from linearGreen's function (5,191 words) [view diff] exact match in snippet view article find links to article
case, Green's function is the same as the impulse response of linear time-invariant system theory. Loosely speaking, if such a function G can be found for