The paper gives a Lyapunov function which can be used for certain naturallyoccurring systems of nonlinear simultaneous differential equations. The equations arise when there is a flow of some physical quantity such as heat, matter or electricity through an appropriate physical system. The Lyapunov
Some properties of physical measurements with application to system identification
β Scribed by J.L. Hammond Jr.
- Publisher
- Elsevier Science
- Year
- 1964
- Tongue
- English
- Weight
- 593 KB
- Volume
- 278
- Category
- Article
- ISSN
- 0016-0032
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β¦ Synopsis
SUMMXRY:
The problem of characterizing a measurement instrument and examining its effect on the identi~eation of systems is considered in this paper. A model for a measurement instrument is given, and the e-information gain of the instrument is deΒ£ned and expressed in terms of the parameters of the model. Vitushkin's e-entropy is shown to be a measure of the "cost" of identi~cation. One of his theorems is adapted to show that to measure a function from a given space to e-accuracy requires an e-information gain from the measurement instrument equal to or greater than the e-entropy of the input space.
An upper bound on the e-information gain for linear measurement instruments is obtained. For a ~xed space of input functions this upper bound on e-information gain speci~es a lower bound on e-accuracy.
The results obtained are applied to two classes of identilication problems. The ~rst is a problem posed by Zadeh which involves matching an unknown "black box" to some member of a class of "black boxes." In this case the c-information necessary to make the required identi~cation is computed. The upper bound on e-information is used to show that if a linear instrument is used, precise identiΒ£cation is impossible in general, and identi~cation to some e-accuracy is suggested as an alternative requirement.
The second identi~cation problem involves measurement of a constant quantity and serves to indicate orders of magnitude for some of the variables.
π SIMILAR VOLUMES
In this paper, we present some analytical results regarding the performance of a recently introduced method of system identification based on Interpolated Mapping (IM). The results are restricted to linear systems even though the method is intended, and appears to work well, for non-linear systems.
## Abstract This paper is concerned with properties and applications of monotone rearrangement as defined in [18]. Unlike the Schwarz and Steiner symmetrization, in the monotone rearrangement framework, the inequality for the Dirichlet integral holds for all functions in __H__^1^ (not only __H__^1^