H-2 AND H-infinity FILTERING FOR LINEAR SYSTEMS WITH UNKNOWN INPUTS AND POLYTOPIC UNCERTAINTY

Hosam-Eldin Emara Shabaik; MagdiSadek Mostafa Mahmoud; Y Shi

H-2 AND H-infinity FILTERING FOR LINEAR SYSTEMS WITH UNKNOWN INPUTS AND POLYTOPIC UNCERTAINTY

Hosam-Eldin Emara Shabaik
, MagdiSadek Mostafa Mahmoud
, Y Shi

Research output: Contribution to journal › Article › peer-review

Abstract

State estimation of linear systems under the influence of both unknown deterministic time varying disturbance inputs and Gaussian noise is considered. Two new filters are developed. The first is based on H-2 estimation, while the second is based on estimation. Extension to the case of real convex parametric uncertainties in the system matrices is presented. Performance of the developed filters is numerically illustrated using a fifth order dynamic system.

Original language	English
Journal	International Journal of Innovative Computing, Information and Control
State	Published - 2010

Cite this

@article{1118cc14effb44ac8044f0719008229f,

title = "H-2 AND H-infinity FILTERING FOR LINEAR SYSTEMS WITH UNKNOWN INPUTS AND POLYTOPIC UNCERTAINTY",

abstract = "State estimation of linear systems under the influence of both unknown deterministic time varying disturbance inputs and Gaussian noise is considered. Two new filters are developed. The first is based on H-2 estimation, while the second is based on estimation. Extension to the case of real convex parametric uncertainties in the system matrices is presented. Performance of the developed filters is numerically illustrated using a fifth order dynamic system.",

author = "Shabaik, \{Hosam-Eldin Emara\} and Mahmoud, \{MagdiSadek Mostafa\} and Y Shi",

year = "2010",

language = "English",

}

TY - JOUR

T1 - H-2 AND H-infinity FILTERING FOR LINEAR SYSTEMS WITH UNKNOWN INPUTS AND POLYTOPIC UNCERTAINTY

AU - Shabaik, Hosam-Eldin Emara

AU - Mahmoud, MagdiSadek Mostafa

AU - Shi, Y

PY - 2010

Y1 - 2010

N2 - State estimation of linear systems under the influence of both unknown deterministic time varying disturbance inputs and Gaussian noise is considered. Two new filters are developed. The first is based on H-2 estimation, while the second is based on estimation. Extension to the case of real convex parametric uncertainties in the system matrices is presented. Performance of the developed filters is numerically illustrated using a fifth order dynamic system.

AB - State estimation of linear systems under the influence of both unknown deterministic time varying disturbance inputs and Gaussian noise is considered. Two new filters are developed. The first is based on H-2 estimation, while the second is based on estimation. Extension to the case of real convex parametric uncertainties in the system matrices is presented. Performance of the developed filters is numerically illustrated using a fifth order dynamic system.

M3 - Article

SN - 1349-4198

JO - International Journal of Innovative Computing, Information and Control

JF - International Journal of Innovative Computing, Information and Control

ER -

H-2 AND H-infinity FILTERING FOR LINEAR SYSTEMS WITH UNKNOWN INPUTS AND POLYTOPIC UNCERTAINTY

Abstract

Fingerprint

Cite this