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Essential parameters in sensitivity analysis

โœ Scribed by D.F. Wilkie; W.R. Perkins


Publisher
Elsevier Science
Year
1969
Tongue
English
Weight
600 KB
Volume
5
Category
Article
ISSN
0005-1098

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โœฆ Synopsis


Two new properties of the companion canonic representation of a controllable singleinput linear time-invariant system and a modified Leverrier algorithm are used to generate efficiently all sensitivity .functions of the system state variables.

Summary--A method is developed to generate by one nth order sensitivity model all the sensitivity functions [(OxO/(Oqj)]lqo, i= 1 ..... n, j= 1 ..... r for a single input, linear, time-invariant, controllable nth order system which depends on r different parameters. This represents an improvement over known methods for generating the sensitivity functions, which generally require a composite dynamic system of order n(r+l). In the development, two useful properties of the sensitiVity functions of the states of the companion form of a system, where the system A matrix is in companion form, are used. It is shown that all the sensitivity functions of the states of the companion form system can be generated by linear combinations of the signals on one sensitivity model of the system and the system states. The Leverrier algorithm has been extended so that the method of the paper is readily implemented on a digital or hybrid computer. Finally, an example is given, demonstrating how the technique of the paper can result in considerable time savings in the computer simulation and sensitivity analysis of systems.


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Parallel sensitivity analysis for DAEs w
โœ Zhu, Wenjie; Petzold, Linda ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 104 KB

In this paper, we discuss the parallel computation of the sensitivity analysis of systems of differential-algebraic equations (DAEs) with a moderate number of state variables and a large number of sensitivity parameters. Several parallel implementations based on DASSLSO are explored and their perfor