MF

    Book Cover

    Optimal Frequency-Domain System Realization with Weighting

    Series:

    Several approaches are presented to identify an experimental system model directly from frequency response data. The formulation uses a matrix-fraction description as the model structure. Frequency weighting such as exponential weighting is introduced to solve a weighted least-squares problem to obtain the coefficient matrices for the matrix-fraction description. A multi-variable state-space model

    NaN

    VOLUME

    English

    Paperback

    Several approaches are presented to identify an experimental system model directly from frequency response data. The formulation uses a matrix-fraction description as the model structure. Frequency weighting such as exponential weighting is introduced to solve a weighted least-squares problem to obtain the coefficient matrices for the matrix-fraction description. A multi-variable state-space model can then be formed using the coefficient matrices of the matrix-fraction description. Three different approaches are introduced to fine-tune the model using nonlinear programming methods to minimize the desired cost function. The first method uses an eigenvalue assignment technique to reassign a subset of system poles to improve the identified model. The second method deals with the model in the real Schur or modal form, reassigns a subset of system poles, and adjusts the columns (rows) of the input (output) influence matrix using a nonlinear optimizer. The third method also optimizes a subset of poles, but the input and output influence matrices are refined at every optimization step through least-squares procedures.Juang, Jer-Nan and Maghami, Peiman G.Langley Research CenterFREQUENCY RESPONSE; FREQUENCY DOMAIN ANALYSIS; MATRICES (MATHEMATICS); COEFFICIENTS; EIGENVALUES; NONLINEARITY; COSTS; IDENTIFYING...



    Price Comparison [India]

      IN STOCK

      ₹1,890

      N/A



      In This Series



      Bestseller Manga



      Trending NEWS