On the Absence of Limit Cycles in State-Space Digital Filters With Minimum $L_{2}$-Sensitivity

This brief proposes a systematic approach to synthesis of limit cycle free state-space digital filters with minimum L2-sensitivity. We synthesize the minimum L2-sensitivity realization adopting the balanced realization as an initial realization. The coordinate transformation matrix which transforms the balanced realization into the minimum L2-sensitivity realization is expressed as the product of a positive definite symmetric matrix and arbitrary orthogonal matrix. We show that the controllability and observability Gramians of the minimum L2-sensitivity realization satisfy a sufficient condition for the absence of limit cycles when we select an appropriate orthogonal matrix. As a result, the minimum L2-sensitivity realization without limit cycles can be synthesized by selecting an appropriate orthogonal matrix.

[1]  C. Barnes,et al.  Minimum norm recursive digital filters that are free of overflow limit cycles , 1977 .

[2]  T. Ooba,et al.  On companion systems with state saturation nonlinearity , 2003 .

[3]  Vimal Singh,et al.  Robust stability of 2-D discrete systems described by the Fornasini-Marchesini second model employing quantization/overflow nonlinearities , 2004, IEEE Transactions on Circuits and Systems II: Express Briefs.

[4]  Vimal Singh,et al.  Elimination of overflow oscillations in fixed-point state-space digital filters with saturation arithmetic: an LMI approach , 2004, IEEE Trans. Circuits Syst. II Express Briefs.

[5]  Masayuki Kawamata,et al.  A unified approach to the optimal synthesis of fixed-point state-space digital filters , 1985, IEEE Trans. Acoust. Speech Signal Process..

[6]  Wei-Yong Yan,et al.  On L/sup 2/-sensitivity minimization of linear state-space systems , 1992 .

[7]  Masayuki Kawamata,et al.  A closed form solution to L2-sensitivity minimization of second-order state-space digital filters , 2006, ISCAS.

[8]  M. Kawamata,et al.  On the absence of limit cycles in a class of state-space digital filters which contains minimum noise realizations , 1984 .

[9]  Takao Hinamoto,et al.  Analysis and minimization of L/sub 2/-sensitivity for linear systems and two-dimensional state-space filters using general controllability and observability Gramians , 2002 .

[10]  Masayuki Kawamata,et al.  A closed form solution to L/sub 2/-sensitivity minimization of second-order state-space digital filters , 2008, 2006 IEEE International Symposium on Circuits and Systems.

[11]  Vimal Singh Modified Form of Liu-Michel's Criterion for Global Asymptotic Stability of Fixed-Point State-Space Digital Filters Using Saturation Arithmetic , 2006, IEEE Transactions on Circuits and Systems II: Express Briefs.

[12]  Clifford T. Mullis,et al.  Digital filter realizations without overflow oscillations , 1978, ICASSP.