time-invariant system

(redirected from Time invariant)

time-invariant system

[′tīm in‚ver·ē·ənt ‚sis·təm]
(control systems)
A system in which all quantities governing the system's behavior remain constant with time, so that the system's response to a given input does not depend on the time it is applied.
Mentioned in ?
References in periodicals archive ?
i] captures the impact of time invariant determinants of costs such as the geographical location of the municipality; the parameter [[delta].
According to the results, technical inefficiency, though exists, is time invariant and technological progress (TP) became the main contributor to TFPG of the sector during 1981/82-2010/11.
This can be assumed in the above case since convergence, a constant control structure, is only strived for when the frequency distribution is time invariant.
A hybrid automaton H is a time invariant hybrid automaton [H.
The benefit of the change regression is that it controls for unobservable time invariant characteristics of individuals such as unobserved health or riskiness that could be correlated with both healthcare expenditures and the likelihood of obtaining health insurance.
The combination of the two approaches produces estimates robust to the presence of time invariant and time varying factors that simultaneously influence the choice of form and economic outcomes.
The most widely used proportional and integral (PI) control is designed for a linear time invariant system (Astrom et al.
Second, we are able to address important methodological issues such as firm-level time invariant heterogeneity or endogeneity.
The use of Random Effects lets the model contain observed time invariant characteristics, while the Fixed Effects model does not; if present, they are simply absorbed into the fixed effects.
For example, linear models of first and second order with time invariant parameters are employed in [1, 6], but these approximations only can track simulated EEG signals, even when these are physiological meaningful models.
In this paper an explicit necessary condition is given for a list of polynomials to be invariant polynomials of a system obtained by constant output feedback from the given linear time invariant system.
We exploit a rich dataset that includes matched, longitudinal college transcripts and Unemployment Insurance records for students who entered a Washington State community college in 2001-2002, and we use an individual fixed effects identification strategy to control for both observed and unobserved student characteristics that are time invariant.