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剑桥大学用于线性和双线性动力学系统辨识的工具箱

% CUED System Identification Toolbox.
% Version 1.0 (R12) 1-Jun-2002
%
%   Subspace identification of linear systems.
%     subid3b        - Main function for linear subspace identification.
%
%   Identification of linear systems using a balanced parameterization.
%     balpem         - Main function for balanced identification.
%     isbalanced     - Determines whether a state-space system is balanced.
%     ismpbalanced   - Determines whether a system is minimum-phase balanced.
%     mpbal          - Computes a minimum-phase balanced realization.
%
%   Subspace identification of bilinear systems.
%     bilinid        - Main function for bilinear subspace identification.
%     bilin          - Create a discrete-time, bilinear, state-space system.
%     bilin/compare  - Compare simulated data with measured data.
%     bilin/isstable - Determine whether a given bilinear system is stable.
%     bilin/pe       - Compute prediction errors associated with a data set.
%     bilin/sim      - Simulate a given bilinear system (with noise).
%
%   Auxiliary functions.
%     blochank       - Assemble a block Hankel matrix.
%     bloctoep       - Assemble a block Toeplitz matrix.
%     coorproj       - Orthogonal projection onto a complement subspace. 
%     khatri         - Compute the Khatri-Rao product of two matrices.
%     obmat          - Construct the observability matrix with a given index.
%     orthproj       - Orthogonal projection onto a subspace.
%     soltritoep     - Solve for a lower triangular block Toeplitz matrix.
%
%   Example MAT files.
%     example3block  - Example data for use with subid3b.
%     examplebalpem  - Example data for use with balpem.
%     example2i2s2o  - Example data for use with bilinid.
%
% NB: Requires Matlab System Identification and Control System Toolboxes.
% 
% Cambridge University Engineering Department.
% Copyright (C) 1998-2002. All Rights Reserved.

% Created by H. Chen and E.C. Kerrigan.