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Stability of a class of hybrid computer models of dynamical systems

✍ Scribed by J.R. Amyot; G.A. Camiré

Publisher
Elsevier Science
Year
1986
Tongue
English
Weight
394 KB
Volume
28
Category
Article
ISSN
0378-4754

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✦ Synopsis

Hybrid computer programming automation research is giving rise to a renewed interest in standard hybrid programming configurations. The stability of implementations whereby only time integrations and first-order prediction compensation are performed in the analog section is examined as a function of: (1) the damping ratio 5 of any one of the conceptual model's second-order eigenvalues, and (2) the normalized sampling rate R, expressed in samples per cycle of its natural undamped frequency. Stability boundaries in the (c,R) plane indicate a great dependence of stability on 5 and the existence of an optimum value of compensation factor, also a function of 5. Suboptimal values of compensation and corresponding lower bounds of R are tabulated for specific ranges of 5.

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