Model reduction by matching Markov parameters, time moments, and impulse-response energies
暂无分享,去创建一个
[1] Victor Sreeram,et al. On the computation of the Gram matrix in time domain and its application , 1993, IEEE Trans. Autom. Control..
[2] Umberto Viaro,et al. Some comments on steady-state and asymptotic responses , 1994 .
[3] Umberto Viaro,et al. Reduction of linear continuous-time multivariable systems by matching first- and second-order information , 1994, IEEE Trans. Autom. Control..
[4] Yujiro Inouye,et al. Approximation of multivariable linear systems with impulse response and autocorrelation sequences , 1983, Autom..
[5] R. Roberts,et al. The use of second-order information in the approximation of discreate-time linear systems , 1976 .
[6] Victor Sreeram,et al. Identification and model reduction from impulse response data , 1990 .
[7] Hiroshi Nagaoka. Mullis–Roberts–type approximation for continuous–time linear systems , 1987 .
[8] B. Moore. Principal component analysis in linear systems: Controllability, observability, and model reduction , 1981 .
[9] B. Anderson,et al. The generation of all q-Markov covers , 1987 .
[10] P. Agathoklis,et al. The discrete-time q-Markov cover models with improved low-frequency approximation , 1994, IEEE Trans. Autom. Control..
[11] V. Sreeram,et al. Model reduction of linear continuous systems using weighted impulse response Gramians , 1993 .
[12] Brian D. O. Anderson,et al. Weighted q-Markov covariance equivalent realizations , 1989 .
[13] Gian Antonio Mian,et al. Optimality conditions in multivariable L2 model reduction , 1993 .
[14] R. Skelton,et al. Linear system approximation via covariance equivalent realizations , 1985 .
[15] E. Jonckheere,et al. Combined sequence of Markov parameters and moments in linear systems , 1989 .