Robust H∞ filter design for 2D discrete systems in roesser model
This paper investigates the robust H∞ filtering problem for uncertain two-dimensional (2D) systems described by the Roesser model. The parameter uncertainties considered in this paper are assumed to be of polytopic type. A new structured polynomially parameter-dependent method is utilized, which is based on homogeneous polynomially parameter-dependent matrices of arbitrary degree. The proposed method includes results in the quadratic framework and the linearly parameter-dependent framework as special cases for zeroth degree and first degree, respectively. A numerical example illustrates the feasibility and advantage of the proposed filter design methods. © 2008 Institute of Automation, Chinese Academy of Sciences and Springer-Verlag GmbH.
Publication Source (Journal or Book title)
International Journal of Automation and Computing
Gao, C., Duan, G., & Meng, X. (2008). Robust H∞ filter design for 2D discrete systems in roesser model. International Journal of Automation and Computing, 5 (4), 413-418. https://doi.org/10.1007/s11633-008-0413-4