Filtering and System Identification: A Least Squares Approach

Exercises

  • 9.1 Consider the system


  • where u(k) ? ? m and y(k) ? ? m with m>1. We are given the sequences of input-output data pairs


  • such that


  • with e i being the ith column of the n n identity matrix. Assume that N ? s, and show how the output data sequences for i=1, 2, , m must be stored in the matrix such that


  • 9.2 Consider the subspace identification method for impulse input signals, described in Section 9.2.3.

    1. Write a Matlab program to determine the system matrices A, B, and C up to a similarity transformation.

    2. Test this program using 20 data points obtained from the following system:


      Check the eigenvalues of the estimated A matrices, and compare the outputs from the models with the real output of the system.

  • 9.3 Consider the minimal and asymptotically stable LTI system


  • with x(0)=0 and u(k) equal to a step sequence given by


    1. Show that the data equation (9.7) on page 296 can be written as


      where j ? ? j denotes the vector with all entries equal to unity.

    2. Show that


    3. Show that


      and use it to prove that


    4. Use the results derived above to prove that


  • 9.4 When the input to the state-space system


  • is periodic, the output will also be periodic. In this case there is no need to build a block Hankel...

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