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Factorization of the Popov function of a multivariable linear distributed parameter system in the non-coercive case: a penalization approach

100%

Pandolfi L.

International Journal of Applied Mathematics and Computer Science

2001

tom 11

nr 6

1249-1260

We study the construction of an outer factor to a positive definite Popov function of a distributed parameter system. We assume that is a non-negative definite matrix with non-zero determinant. Coercivity is not assumed. We present a penalization approach which gives an outer factor just in the case when there exists any outer factor.

Robust identification of parasitic feedback disturbances for linear lumped parameter systems

63%

Maksimov V., Pandolfi L.

International Journal of Applied Mathematics and Computer Science

2001

tom 11

nr 4

835-858

We study the problem of identification of an input to a linear finite-dimensional system. We assume that the input has a feedback form, which is related to a problem often encountered in fault detection. The method we use is to embed the identification problem in a class of inverse problems of dynamics for controlled systems. Two algorithms for identification of a feedback matrix based on the method of feedback control with a model are constructed. These algorithms are stable with respect to noise-corrupted observations and computational errors.

Ograniczanie wyników

2 International Journal of Applied Mathematics and Computer Science

2 Pandolfi L.

1 Maksimov V.

2 2001

Wyniki wyszukiwania

Factorization of the Popov function of a multivariable linear distributed parameter system in the non-coercive case: a penalization approach

Robust identification of parasitic feedback disturbances for linear lumped parameter systems