词条 | Time-invariant system |
释义 |
A time-invariant (TIV) system has a time-dependent system function that is not a direct function of time. Such systems are regarded as a class of systems in the field of system analysis. The time-dependent system function is a function of the time-dependent input function. If this function depends only indirectly on the time-domain (via the input function, for example), then that is a system that would be considered time-invariant. Conversely, any direct dependence on the time-domain of the system function could be considered as a "time-varying system". Mathematically speaking, "time-invariance" of a system is the following property:[1]{{rp|p. 50}} Given a system with a time-dependent output function , and a time-dependent input function ; the system will be considered time-invariant if a time-delay on the input directly equates to a time-delay of the output function. For example, if time is "elapsed time", then "time-invariance" implies that the relationship between the input function and the output function is constant with respect to time : In the language of signal processing, this property can be satisfied if the transfer function of the system is not a direct function of time except as expressed by the input and output. In the context of a system schematic, this property can also be stated as follows: If a system is time-invariant then the system block commutes with an arbitrary delay. If a time-invariant system is also linear, it is the subject of linear time-invariant theory (linear time-invariant) with direct applications in NMR spectroscopy, seismology, circuits, signal processing, control theory, and other technical areas. Nonlinear time-invariant systems lack a comprehensive, governing theory. Discrete time-invariant systems are known as shift-invariant systems. Systems which lack the time-invariant property are studied as time-variant systems. Simple exampleTo demonstrate how to determine if a system is time-invariant, consider the two systems:
Since system A explicitly depends on t outside of and , it is not time-invariant. System B, however, does not depend explicitly on t so it is time-invariant. Formal exampleA more formal proof of why systems A and B above differ is now presented. To perform this proof, the second definition will be used. System A: Start with a delay of the input Now delay the output by Clearly , therefore the system is not time-invariant. System B: Start with a delay of the input Now delay the output by Clearly , therefore the system is time-invariant. More generally, the relationship between the input and output is , and its variation with time is . For time-invariant systems, the system properties remain constant with time, . Applied to Systems A and B above: in general, so not time-invariant so time-invariant. Abstract exampleWe can denote the shift operator by where is the amount by which a vector's index set should be shifted. For example, the "advance-by-1" system can be represented in this abstract notation by where is a function given by with the system yielding the shifted output So is an operator that advances the input vector by 1. Suppose we represent a system by an operator . This system is time-invariant if it commutes with the shift operator, i.e., If our system equation is given by then it is time-invariant if we can apply the system operator on followed by the shift operator , or we can apply the shift operator followed by the system operator , with the two computations yielding equivalent results. Applying the system operator first gives Applying the shift operator first gives If the system is time-invariant, then See also
References1. ^{{cite book | first1=Alan | last1=Oppenheim | first2=Alan | last2=Willsky | title=Signals and Systems (second edition)| publisher=Prentice Hall | year=1997}} 2 : Control theory|Signal processing |
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