Computing the discrete-time difference equation when the system matrix is non-invertible











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If we have a continuous time equation,



$$ dot{x}(t) = A x(t) + B u(t)$$



where $A in mathbb{R}^{n times n}, x in mathbb{R}^{ntimes1}, B in mathbb{R}^{n times m}, u in mathbb{R}^{m times 1}$, the analytical solution is obtained as



$$x(t) = e^{A t} x(0) + int_0^t e^{A(t-tau)}B u(tau), dtau$$



Converting this to discrete-time, with sample-time $T_s$, and assuming that all eigen-values of $A$ are real & distinct and $u$ remains constant within each sample interval, $k$ to $k+1$, we get the following difference equation,



$$x[k+1] = e^{A T_s} x[k] + left[int_0^t e^{Atau}B , dtauright] u[k]$$



Which can be written as



$$x[k+1] = A_d x[k] + B_d u[k]$$



When the original matrix $A$ is invertible, the integral term corresponding to $B_d$ can be written as



$$B_d = A^{-1}(A_d - I)$$



The question is, What about the case when A is non-invertible? In particular, if my $A=begin{bmatrix}a_1 & 0 & 0 \ 0 & a_2 & 0 \ 0 & 0 & 0 end{bmatrix}$ and $B=begin{bmatrix}b_1 \ b_2 \ b_3 end{bmatrix}$. How do I obtain the corresponding $B_d$?










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    up vote
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    down vote

    favorite












    If we have a continuous time equation,



    $$ dot{x}(t) = A x(t) + B u(t)$$



    where $A in mathbb{R}^{n times n}, x in mathbb{R}^{ntimes1}, B in mathbb{R}^{n times m}, u in mathbb{R}^{m times 1}$, the analytical solution is obtained as



    $$x(t) = e^{A t} x(0) + int_0^t e^{A(t-tau)}B u(tau), dtau$$



    Converting this to discrete-time, with sample-time $T_s$, and assuming that all eigen-values of $A$ are real & distinct and $u$ remains constant within each sample interval, $k$ to $k+1$, we get the following difference equation,



    $$x[k+1] = e^{A T_s} x[k] + left[int_0^t e^{Atau}B , dtauright] u[k]$$



    Which can be written as



    $$x[k+1] = A_d x[k] + B_d u[k]$$



    When the original matrix $A$ is invertible, the integral term corresponding to $B_d$ can be written as



    $$B_d = A^{-1}(A_d - I)$$



    The question is, What about the case when A is non-invertible? In particular, if my $A=begin{bmatrix}a_1 & 0 & 0 \ 0 & a_2 & 0 \ 0 & 0 & 0 end{bmatrix}$ and $B=begin{bmatrix}b_1 \ b_2 \ b_3 end{bmatrix}$. How do I obtain the corresponding $B_d$?










    share|cite|improve this question
























      up vote
      2
      down vote

      favorite









      up vote
      2
      down vote

      favorite











      If we have a continuous time equation,



      $$ dot{x}(t) = A x(t) + B u(t)$$



      where $A in mathbb{R}^{n times n}, x in mathbb{R}^{ntimes1}, B in mathbb{R}^{n times m}, u in mathbb{R}^{m times 1}$, the analytical solution is obtained as



      $$x(t) = e^{A t} x(0) + int_0^t e^{A(t-tau)}B u(tau), dtau$$



      Converting this to discrete-time, with sample-time $T_s$, and assuming that all eigen-values of $A$ are real & distinct and $u$ remains constant within each sample interval, $k$ to $k+1$, we get the following difference equation,



      $$x[k+1] = e^{A T_s} x[k] + left[int_0^t e^{Atau}B , dtauright] u[k]$$



      Which can be written as



      $$x[k+1] = A_d x[k] + B_d u[k]$$



      When the original matrix $A$ is invertible, the integral term corresponding to $B_d$ can be written as



      $$B_d = A^{-1}(A_d - I)$$



      The question is, What about the case when A is non-invertible? In particular, if my $A=begin{bmatrix}a_1 & 0 & 0 \ 0 & a_2 & 0 \ 0 & 0 & 0 end{bmatrix}$ and $B=begin{bmatrix}b_1 \ b_2 \ b_3 end{bmatrix}$. How do I obtain the corresponding $B_d$?










      share|cite|improve this question













      If we have a continuous time equation,



      $$ dot{x}(t) = A x(t) + B u(t)$$



      where $A in mathbb{R}^{n times n}, x in mathbb{R}^{ntimes1}, B in mathbb{R}^{n times m}, u in mathbb{R}^{m times 1}$, the analytical solution is obtained as



      $$x(t) = e^{A t} x(0) + int_0^t e^{A(t-tau)}B u(tau), dtau$$



      Converting this to discrete-time, with sample-time $T_s$, and assuming that all eigen-values of $A$ are real & distinct and $u$ remains constant within each sample interval, $k$ to $k+1$, we get the following difference equation,



      $$x[k+1] = e^{A T_s} x[k] + left[int_0^t e^{Atau}B , dtauright] u[k]$$



      Which can be written as



      $$x[k+1] = A_d x[k] + B_d u[k]$$



      When the original matrix $A$ is invertible, the integral term corresponding to $B_d$ can be written as



      $$B_d = A^{-1}(A_d - I)$$



      The question is, What about the case when A is non-invertible? In particular, if my $A=begin{bmatrix}a_1 & 0 & 0 \ 0 & a_2 & 0 \ 0 & 0 & 0 end{bmatrix}$ and $B=begin{bmatrix}b_1 \ b_2 \ b_3 end{bmatrix}$. How do I obtain the corresponding $B_d$?







      differential-equations dynamical-systems matrix-equations






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      asked May 23 at 19:51









      Krishna

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