A new orthogonal series approach to sensitivity analysis
โ Scribed by P.N. Paraskevopoulos; P.G. Sklavounos; D.A. Karkas
- Publisher
- Elsevier Science
- Year
- 1990
- Tongue
- English
- Weight
- 676 KB
- Volume
- 327
- Category
- Article
- ISSN
- 0016-0032
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โฆ Synopsis
The problem of' trajectory and output sensitivity analysis of linear time-invariant systems is studied using a new orthogonal series method. Simple expressions are derived for the determination qf the coeficient sensitivity matrices involving multiplications of matrices of small dimensions. No solution qf algebraic equations is required, hence no matrix inversion is needed here compared to known techniques. The present results, therefore, reduce the computational efort involved and increase accuracy due to round-oRerrors.
๐ SIMILAR VOLUMES
A simplified method is proposedfor the determination of sensitivity functions of linear time invariant systems. This method, based on the idea of using Chebyshev polynomials, is also extended in the case of linear systems with time-varying variations. The approach is approximate, straightforward and
Sensitivity analysis has traditionally been applied to decision models to quantify the stability of a preferred alternative to parametric variation. In the health literature, sensitivity measures have traditionally been based upon distance metrics, payoff variations, and probability measures. We adv