The identification method for stiffness constant parameters and damping coefficient parameters of connections using test data is derived when a structure is attached to another structure via connections. Because of the inherent difficulties of deriving spatial models from test data, the frequency re
Adaptive frequency response identification using the lagrange filter
โ Scribed by Yu Tang
- Publisher
- Elsevier Science
- Year
- 1993
- Tongue
- English
- Weight
- 369 KB
- Volume
- 29
- Category
- Article
- ISSN
- 0005-1098
No coin nor oath required. For personal study only.
โฆ Synopsis
This paper addresses the problem of identifying the frequency response of a stable discrete-time system at a set of arbitrary frequencies. The output of the identifier may be used directly in control synthesis based on points of frequency response, or to give a frequency response estimate together with an Hยฎ bounding function for robust control. Central to our idea is Lagrange interpolation. Conditions for exponential convergence of the parameter estimates are given in terms of energy of input signal. Simulations are presented to illustrate the analytical results.
๐ SIMILAR VOLUMES
The impact of induced dispersion on the microwaยจe frequency response of an optical fiber notch filter is analyzed and simulated in this letter. An experiment has been carried out to ยจerify the theoretical prediction. The technique to suppress this impact and experimental results haยจe also been prese
Structural damage detection has gained increasing attention from the scienti"c community since unpredicted major hazards, most with human losses, have been reported. Aircraft crashes and the catastrophic bridge failures are some examples. Security and economy aspects are the important motivations fo
This paper discusses the non-parametric identi"cation if MIMO rotor-bearing systems in the frequency domain for real as well as for complex modal testing. The FRFs are estimated on the basis of the maximum likelihood estimator, considering noise on both inputs and outputs (error-in-variables model).