Gramian-preserving frequency transformation for linear continuous-time state-space systems
暂无分享,去创建一个
[1] L. Silverman,et al. Model reduction via balanced state space representations , 1982 .
[2] B. Moore. Principal component analysis in linear systems: Controllability, observability, and model reduction , 1981 .
[3] Brian D. O. Anderson,et al. Network Analysis and Synthesis: A Modern Systems Theory Approach , 2006 .
[4] R. Roberts,et al. Roundoff noise in digital filters: Frequency transformations and invariants , 1976 .
[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] Shunsuke Koshita,et al. Invariance of Second-Order Modes under Frequency Transformation in 2-D Separable Denominator Digital Filters , 2005, Multidimens. Syst. Signal Process..
[7] Masayuki Kawamata. On the invariance of the second-order modes of continuous-time systems under general frequency transformation [analog filters] , 2003, Proceedings of the 2003 International Symposium on Circuits and Systems, 2003. ISCAS '03..
[8] R. Ober. Balanced parametrization of classes of linear systems , 1991 .
[9] M. Kawamata,et al. Statistical sensitivity and minimum sensitivity structures with fewer coefficients in discrete time linear systems , 1990 .
[10] A. Antoulas,et al. A Survey of Model Reduction by Balanced Truncation and Some New Results , 2004 .
[11] S. Hwang. Minimum uncorrelated unit noise in state-space digital filtering , 1977 .
[12] E. Jonckheere,et al. A contraction mapping preserving balanced reduction scheme and its infinity norm error bounds , 1988 .
[13] Clifford T. Mullis,et al. Synthesis of minimum roundoff noise fixed point digital filters , 1976 .