Abstract
Any kind of approach to the description of a real system has some inherent advantages over other kinds in the wealth of conclusions and the easiness of their deduction, as well in what it does or does not come natural to say about the studied system. This lecture is meant as a short sight—seeing tour intended to convey an idea of what the black—box approach is all about.
Suppose we have a collection of identical systems, say T, which we are observing during the time interval t ∈ [0,∞) from the outside. We notice that our inputs. say iin = iin(t), t ∈ [0,∞), to T are transformed into uniquely determined outputs, say iout = iout,(t), t E [0,∞) a fact we choose to represent as follows:
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Ribarič, M.: Functional–Analytic Concepts and Structures of Neutron Transport Theory, Vol. I and II. Slovene Academy of Sciences and Arts, Ljubljana, 1973.
Ribarič, M.: Basic equation of input–output models and some related topics, in Control Theory and Topics in Functional Analysis, Vol. II, pp. 257–279, Int. Atomic Energy Agency, Vienna, 1976.
Ribarič, M. & I. Vidav: Analytic properties of the inverse A(z)−1 of an analytic linear operator valued function. Arch. Rational Mech. Anal. 32, pp. 298–310 (1969).
Scott, M.R.: A bibliography on invariant imbedding and related topics. SLA–74– 0284, Sandia Laboratories Albuquerque, N.M. 1974.
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Ribarič, M. (2010). The Black Box Approach and Systems with Memory. In: Graffi, D. (eds) Materials with Memory. C.I.M.E. Summer Schools, vol 74. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-11096-2_5
Download citation
DOI: https://doi.org/10.1007/978-3-642-11096-2_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-11095-5
Online ISBN: 978-3-642-11096-2
eBook Packages: Mathematics and StatisticsMathematics and Statistics (R0)