The Experts below are selected from a list of 273 Experts worldwide ranked by ideXlab platform

Bernard Hanzon - One of the best experts on this subject based on the ideXlab platform.

  • Lossless scalar functions: boundary interpolation, Schur algorithm and Ober's Canonical Form
    2008
    Co-Authors: Martine Olivi, Bernard Hanzon, Ralf L.m. Peeters
    Abstract:

    In Ober (1987) a balanced Canonical Form for continuous-time lossless systems was presented. This Form has a tridiagonal dynamical matrix A and the useful property that the corresponding controllability matrix K is upper triangular. In this paper, a connection is established between Ober's Canonical Form and a Schur algorithm builts from angular derivative interpolation conditions. It provides a new interpretation of the parameters in Ober's Form, as interpolation values at infinity, and a recursive construction of the balanced realization.

  • A new balanced Canonical Form for stable multivariable systems
    IEEE Transactions on Automatic Control, 1995
    Co-Authors: Bernard Hanzon
    Abstract:

    A new balanced Canonical Form is presented for stable multivariable linear systems. Overlapping continuous block-balanced Canonical Forms were introduced by Hanson-Ober for the stable single-input/single-output (SISO) case as a generalisation of the balanced Canonical Form introduced by Ober (1987) for the SISO case. In the search for a generalization of these results to the multivariable case a new multivariable balanced Canonical Form was discovered, which is of interest in its own right and is presented in this paper. The new Canonical Form has a number of nice properties. The integer invariants that appear in the Canonical Form are the multiplicities of the Hankel singular values and a number of new invariants, which are in one-to-one objective correspondence with the Kronecker indexes of subsystems. Truncation of the state vector leads to stable minimal models in Canonical Form. In the SISO case the Canonical Form coincides with Ober's balanced Canonical Form. The reachability matrix of a system in Canonical Form with identical singular values is positive upper triangular. >

  • A new balanced Canonical Form for stable multivariable systems
    Proceedings of 32nd IEEE Conference on Decision and Control, 1
    Co-Authors: Bernard Hanzon
    Abstract:

    A new balanced Canonical Form is presented for stable continuous time multivariable linear systems. The new Canonical Form has a number of nice properties. The integer invariants that appear in the Canonical Form are the multiplicities of the Hankel singular values and a number of new invariants, which are in one-to-one bijective correspondence with the Kronecker indices of subsystems. Truncation ofthe state vector leads to stable minimal models in Canonical Form. In the SISO case the Canonical Form coincides with Ober's balanced Canonical Form. The reachability matrix of a system in Canonical Form with identical singular values is positive upper triangular. For the class of stable multivariable all-pass systems a detailed treatment of the Canonical Form is presented. >

Antonella Capitanio - One of the best experts on this subject based on the ideXlab platform.

  • on the Canonical Form of scale mixtures of skew normal distributions
    Statistica, 2020
    Co-Authors: Antonella Capitanio
    Abstract:

    The Canonical Form of scale mixtures of multivariate skew-normal distribution is defined, emphasizing its role in summarizing some key properties of this class of distributions. It is also shown that the Canonical Form corresponds to an affine invariant co-ordinate system as defined in Tyler et al. (2009), and a method for obtaining the linear transForm that converts a scale mixture of multivariate skew-normal distribution into a Canonical Form is presented. Related results, where the particular case of the multivariate skew t distribution is considered in greater detail, are the general expression of the Mardia indices of multivariate skewness and kurtosis and the reduction of dimensionality in calculating the mode.

  • on the Canonical Form of scale mixtures of skew normal distributions
    arXiv: Methodology, 2012
    Co-Authors: Antonella Capitanio
    Abstract:

    The Canonical Form of scale mixtures of multivariate skew-normal distribution is defined, emphasizing its role in summarizing some key properties of this class of distributions. It is also shown that the Canonical Form corresponds to an affine invariant co-ordinate system as defined in Tyler \emph{et} al. (2009), and a method for obtaining the linear transForm that converts a scale mixture of multivariate skew-normal distribution into a Canonical Form is presented. Related results, where the particular case of the multivariate skew $t$ distribution is considered in greater detail, are the general expression of the Mardia indices of multivariate skewness and kurtosis and the reduction of dimensionality in calculating the mode.

Driss Boutat - One of the best experts on this subject based on the ideXlab platform.

Walter F Mascarenhas - One of the best experts on this subject based on the ideXlab platform.

Zongli Lin - One of the best experts on this subject based on the ideXlab platform.

  • interconnection of kronecker Canonical Form and special coordinate basis of multivariable linear systems
    Systems & Control Letters, 2008
    Co-Authors: Ben M. Chen, Xinmin Liu, Zongli Lin
    Abstract:

    This paper establishes a straightforward interconnection between the Kronecker Canonical Form and the special coordinate basis of linear systems. Such an interconnection yields an alternative approach for computing the Kronecker Canonical Form, and as a by-product, the Smith Form, of the system matrix of general multivariable time-invariant linear systems. The overall procedure involves the transFormation of a given system in the state-space description into the special coordinate basis, which is capable of explicitly displaying all the system structural properties, such as finite and infinite zero structures, as well as system invertibility structures. The computation of the Kronecker Canonical Form and Smith Form of the system matrix is rather simple and straightforward once the given system is put under the special coordinate basis. The procedure is applicable to proper systems and singular systems.