论文信息 - A squared magnitude continued fraction expansion for stable reduced models

A squared magnitude continued fraction expansion for stable reduced models

The direct continued fraction method of model reduction for single-input-output and multi-input—output cases sometimes produces unstable reduced models. A generalization is made by using the squared magnitude continued fraction and factorization technique to obtain reduced models which are always stable.

Yih T. Tsay | Y. Tsay | C. P. Chen | C. Chen

[1] D. H. Owens. Dyadic approximation method for multivariable control-systems analysis with a nuclear-reactor application , 1973 .

[2] F. P. Lees,et al. A survey of simple transfer-function derivations from high-order state-variable models , 1972 .

[3] Y. Shih,et al. Simplification of z -transfer functions by continued fractions † , 1973 .

[4] S. C. Chuang. Application of continued-fraction method for modelling transfer functions to give more accurate initial transient response , 1970 .

[5] D. J. Wright,et al. The continued fraction representation of transfer functions and model simplification , 1973 .

[6] V. Zakian,et al. Simplification of linear time-invariant systems by moment approximants † , 1973 .

[7] C. F. Chen,et al. A novel approach to linear model simplification , 1968 .

[8] M. Healey,et al. Continued-fraction model-reduction technique for multivariable systems , 1974 .

[9] N. Sinha,et al. Near-optimal control of high-order systems using low-order models † , 1973 .

[10] L. Shieh,et al. Continued fraction expansion and inversion of the Cauer third form , 1974 .

[11] F. Lees,et al. On the relation between the continued fraction expansion and moments matching methods of model reduction , 1973 .