Exosystem for reference generation












0












$begingroup$


Recently I have read a paper where an LTI system of the form



$$
begin{align}
dot{x}_p &= A_p x_p + B_p u \
y &= C_p x_p
end{align}tag{1}
$$



for the control plant was considered. In order to analyze the system for different reference inputs, the author used the notation of what they called exosystem defined as:



$$
begin{align}
dot{x}_e &= A_e x_e \
r &= C_e x_e
end{align}tag{2}
$$



which serves as a reference generator. Assume a P controller with $u = K(r - y)$, then they combine $(1)$ and $(2)$ to



$$
begin{align}
dot{x} &= A x \
y &= C x
end{align} tag{3}
$$



with $x = [x_p^T , x_e^T]^T$ and $A, C$ the resulting matrices from the feedback interconnection of $(1)$ and $(2)$. So far so good.



But now it is stated that such an exosystem can be used to generate all of the common input functions (step, ramp, sine, etc.) However I cannot see how the system $(2)$ is able to generate even just a simple step for example as it by itself, does not have any input.



Question: How can such an exosystem used to bring a system like $(1)$ to a form like $(3)$ given a specific input (e.g. step)? And how is the exosystem supposed to generate such input functions?










share|cite|improve this question











$endgroup$

















    0












    $begingroup$


    Recently I have read a paper where an LTI system of the form



    $$
    begin{align}
    dot{x}_p &= A_p x_p + B_p u \
    y &= C_p x_p
    end{align}tag{1}
    $$



    for the control plant was considered. In order to analyze the system for different reference inputs, the author used the notation of what they called exosystem defined as:



    $$
    begin{align}
    dot{x}_e &= A_e x_e \
    r &= C_e x_e
    end{align}tag{2}
    $$



    which serves as a reference generator. Assume a P controller with $u = K(r - y)$, then they combine $(1)$ and $(2)$ to



    $$
    begin{align}
    dot{x} &= A x \
    y &= C x
    end{align} tag{3}
    $$



    with $x = [x_p^T , x_e^T]^T$ and $A, C$ the resulting matrices from the feedback interconnection of $(1)$ and $(2)$. So far so good.



    But now it is stated that such an exosystem can be used to generate all of the common input functions (step, ramp, sine, etc.) However I cannot see how the system $(2)$ is able to generate even just a simple step for example as it by itself, does not have any input.



    Question: How can such an exosystem used to bring a system like $(1)$ to a form like $(3)$ given a specific input (e.g. step)? And how is the exosystem supposed to generate such input functions?










    share|cite|improve this question











    $endgroup$















      0












      0








      0





      $begingroup$


      Recently I have read a paper where an LTI system of the form



      $$
      begin{align}
      dot{x}_p &= A_p x_p + B_p u \
      y &= C_p x_p
      end{align}tag{1}
      $$



      for the control plant was considered. In order to analyze the system for different reference inputs, the author used the notation of what they called exosystem defined as:



      $$
      begin{align}
      dot{x}_e &= A_e x_e \
      r &= C_e x_e
      end{align}tag{2}
      $$



      which serves as a reference generator. Assume a P controller with $u = K(r - y)$, then they combine $(1)$ and $(2)$ to



      $$
      begin{align}
      dot{x} &= A x \
      y &= C x
      end{align} tag{3}
      $$



      with $x = [x_p^T , x_e^T]^T$ and $A, C$ the resulting matrices from the feedback interconnection of $(1)$ and $(2)$. So far so good.



      But now it is stated that such an exosystem can be used to generate all of the common input functions (step, ramp, sine, etc.) However I cannot see how the system $(2)$ is able to generate even just a simple step for example as it by itself, does not have any input.



      Question: How can such an exosystem used to bring a system like $(1)$ to a form like $(3)$ given a specific input (e.g. step)? And how is the exosystem supposed to generate such input functions?










      share|cite|improve this question











      $endgroup$




      Recently I have read a paper where an LTI system of the form



      $$
      begin{align}
      dot{x}_p &= A_p x_p + B_p u \
      y &= C_p x_p
      end{align}tag{1}
      $$



      for the control plant was considered. In order to analyze the system for different reference inputs, the author used the notation of what they called exosystem defined as:



      $$
      begin{align}
      dot{x}_e &= A_e x_e \
      r &= C_e x_e
      end{align}tag{2}
      $$



      which serves as a reference generator. Assume a P controller with $u = K(r - y)$, then they combine $(1)$ and $(2)$ to



      $$
      begin{align}
      dot{x} &= A x \
      y &= C x
      end{align} tag{3}
      $$



      with $x = [x_p^T , x_e^T]^T$ and $A, C$ the resulting matrices from the feedback interconnection of $(1)$ and $(2)$. So far so good.



      But now it is stated that such an exosystem can be used to generate all of the common input functions (step, ramp, sine, etc.) However I cannot see how the system $(2)$ is able to generate even just a simple step for example as it by itself, does not have any input.



      Question: How can such an exosystem used to bring a system like $(1)$ to a form like $(3)$ given a specific input (e.g. step)? And how is the exosystem supposed to generate such input functions?







      ordinary-differential-equations dynamical-systems control-theory linear-control






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      share|cite|improve this question













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      share|cite|improve this question








      edited Dec 10 '18 at 22:53







      SampleTime

















      asked Dec 10 '18 at 22:35









      SampleTimeSampleTime

      53539




      53539






















          1 Answer
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          $begingroup$

          If you set the initial conditions at $t=0$ of $x_p$ to zero, then system $(3)$ for $t>0$ behaves the same as when the input from $(2)$ would have been multiplied by a step function. It can be noted that the initial conditions of $x_e$ are not zero, unless a $r=0$ is desired. So for example to generate a step or a ramp then the reference should be $r=1$ or $r=t$ respectively which can be obtained by choosing appropriate $A_e$, $C_e$ and $x_e(0)$, namely after multiplying these with a step function you get the desired inputs.



          If you want $r$ to be an $n$th order polynomial in time then you could for example choose $A_e$ to be a Jordan block of size $n+1$ with eigenvalue zero. For example when $n=2$ one gets



          $$
          x_e(t)=e^{A_e,t} x_e(0)=
          begin{bmatrix}
          1 & t & tfrac12 t^2 \
          0 & 1 & t \
          0 & 0 & 1
          end{bmatrix}x_e(0)
          $$



          Now by choosing $x_e(0)$ and $C_e$ one can get any linear combination of $1$, $t$ and $t^2$. For polynomial times sinusoids you would need to use completely imaginary values or real Jordan blocks for the eigenvalues instead of zero.






          share|cite|improve this answer











          $endgroup$













          • $begingroup$
            I dont really understand how I can choose $A_e, C_e, x_e(0)$ such that $r$ is, for example a simple ramp signal $r = t$. If I take $A_e neq 0$, $r$ will decay exponentially to zero (or to $pm infty$ if $A_e$ is not Hurwitz). If I take $A_e = 0$, then I can only get a step at $t = 0$ with height depending on $x_e(0)$. Can you give an example how to choose $A_e, C_e, x_e(0)$ to generate $r = t$ with system $(2)$?
            $endgroup$
            – SampleTime
            Dec 11 '18 at 18:32










          • $begingroup$
            @SampleTime I have updated my answer.
            $endgroup$
            – Kwin van der Veen
            Dec 12 '18 at 0:49











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          $begingroup$

          If you set the initial conditions at $t=0$ of $x_p$ to zero, then system $(3)$ for $t>0$ behaves the same as when the input from $(2)$ would have been multiplied by a step function. It can be noted that the initial conditions of $x_e$ are not zero, unless a $r=0$ is desired. So for example to generate a step or a ramp then the reference should be $r=1$ or $r=t$ respectively which can be obtained by choosing appropriate $A_e$, $C_e$ and $x_e(0)$, namely after multiplying these with a step function you get the desired inputs.



          If you want $r$ to be an $n$th order polynomial in time then you could for example choose $A_e$ to be a Jordan block of size $n+1$ with eigenvalue zero. For example when $n=2$ one gets



          $$
          x_e(t)=e^{A_e,t} x_e(0)=
          begin{bmatrix}
          1 & t & tfrac12 t^2 \
          0 & 1 & t \
          0 & 0 & 1
          end{bmatrix}x_e(0)
          $$



          Now by choosing $x_e(0)$ and $C_e$ one can get any linear combination of $1$, $t$ and $t^2$. For polynomial times sinusoids you would need to use completely imaginary values or real Jordan blocks for the eigenvalues instead of zero.






          share|cite|improve this answer











          $endgroup$













          • $begingroup$
            I dont really understand how I can choose $A_e, C_e, x_e(0)$ such that $r$ is, for example a simple ramp signal $r = t$. If I take $A_e neq 0$, $r$ will decay exponentially to zero (or to $pm infty$ if $A_e$ is not Hurwitz). If I take $A_e = 0$, then I can only get a step at $t = 0$ with height depending on $x_e(0)$. Can you give an example how to choose $A_e, C_e, x_e(0)$ to generate $r = t$ with system $(2)$?
            $endgroup$
            – SampleTime
            Dec 11 '18 at 18:32










          • $begingroup$
            @SampleTime I have updated my answer.
            $endgroup$
            – Kwin van der Veen
            Dec 12 '18 at 0:49
















          1












          $begingroup$

          If you set the initial conditions at $t=0$ of $x_p$ to zero, then system $(3)$ for $t>0$ behaves the same as when the input from $(2)$ would have been multiplied by a step function. It can be noted that the initial conditions of $x_e$ are not zero, unless a $r=0$ is desired. So for example to generate a step or a ramp then the reference should be $r=1$ or $r=t$ respectively which can be obtained by choosing appropriate $A_e$, $C_e$ and $x_e(0)$, namely after multiplying these with a step function you get the desired inputs.



          If you want $r$ to be an $n$th order polynomial in time then you could for example choose $A_e$ to be a Jordan block of size $n+1$ with eigenvalue zero. For example when $n=2$ one gets



          $$
          x_e(t)=e^{A_e,t} x_e(0)=
          begin{bmatrix}
          1 & t & tfrac12 t^2 \
          0 & 1 & t \
          0 & 0 & 1
          end{bmatrix}x_e(0)
          $$



          Now by choosing $x_e(0)$ and $C_e$ one can get any linear combination of $1$, $t$ and $t^2$. For polynomial times sinusoids you would need to use completely imaginary values or real Jordan blocks for the eigenvalues instead of zero.






          share|cite|improve this answer











          $endgroup$













          • $begingroup$
            I dont really understand how I can choose $A_e, C_e, x_e(0)$ such that $r$ is, for example a simple ramp signal $r = t$. If I take $A_e neq 0$, $r$ will decay exponentially to zero (or to $pm infty$ if $A_e$ is not Hurwitz). If I take $A_e = 0$, then I can only get a step at $t = 0$ with height depending on $x_e(0)$. Can you give an example how to choose $A_e, C_e, x_e(0)$ to generate $r = t$ with system $(2)$?
            $endgroup$
            – SampleTime
            Dec 11 '18 at 18:32










          • $begingroup$
            @SampleTime I have updated my answer.
            $endgroup$
            – Kwin van der Veen
            Dec 12 '18 at 0:49














          1












          1








          1





          $begingroup$

          If you set the initial conditions at $t=0$ of $x_p$ to zero, then system $(3)$ for $t>0$ behaves the same as when the input from $(2)$ would have been multiplied by a step function. It can be noted that the initial conditions of $x_e$ are not zero, unless a $r=0$ is desired. So for example to generate a step or a ramp then the reference should be $r=1$ or $r=t$ respectively which can be obtained by choosing appropriate $A_e$, $C_e$ and $x_e(0)$, namely after multiplying these with a step function you get the desired inputs.



          If you want $r$ to be an $n$th order polynomial in time then you could for example choose $A_e$ to be a Jordan block of size $n+1$ with eigenvalue zero. For example when $n=2$ one gets



          $$
          x_e(t)=e^{A_e,t} x_e(0)=
          begin{bmatrix}
          1 & t & tfrac12 t^2 \
          0 & 1 & t \
          0 & 0 & 1
          end{bmatrix}x_e(0)
          $$



          Now by choosing $x_e(0)$ and $C_e$ one can get any linear combination of $1$, $t$ and $t^2$. For polynomial times sinusoids you would need to use completely imaginary values or real Jordan blocks for the eigenvalues instead of zero.






          share|cite|improve this answer











          $endgroup$



          If you set the initial conditions at $t=0$ of $x_p$ to zero, then system $(3)$ for $t>0$ behaves the same as when the input from $(2)$ would have been multiplied by a step function. It can be noted that the initial conditions of $x_e$ are not zero, unless a $r=0$ is desired. So for example to generate a step or a ramp then the reference should be $r=1$ or $r=t$ respectively which can be obtained by choosing appropriate $A_e$, $C_e$ and $x_e(0)$, namely after multiplying these with a step function you get the desired inputs.



          If you want $r$ to be an $n$th order polynomial in time then you could for example choose $A_e$ to be a Jordan block of size $n+1$ with eigenvalue zero. For example when $n=2$ one gets



          $$
          x_e(t)=e^{A_e,t} x_e(0)=
          begin{bmatrix}
          1 & t & tfrac12 t^2 \
          0 & 1 & t \
          0 & 0 & 1
          end{bmatrix}x_e(0)
          $$



          Now by choosing $x_e(0)$ and $C_e$ one can get any linear combination of $1$, $t$ and $t^2$. For polynomial times sinusoids you would need to use completely imaginary values or real Jordan blocks for the eigenvalues instead of zero.







          share|cite|improve this answer














          share|cite|improve this answer



          share|cite|improve this answer








          edited Dec 12 '18 at 0:49

























          answered Dec 11 '18 at 4:49









          Kwin van der VeenKwin van der Veen

          5,3952827




          5,3952827












          • $begingroup$
            I dont really understand how I can choose $A_e, C_e, x_e(0)$ such that $r$ is, for example a simple ramp signal $r = t$. If I take $A_e neq 0$, $r$ will decay exponentially to zero (or to $pm infty$ if $A_e$ is not Hurwitz). If I take $A_e = 0$, then I can only get a step at $t = 0$ with height depending on $x_e(0)$. Can you give an example how to choose $A_e, C_e, x_e(0)$ to generate $r = t$ with system $(2)$?
            $endgroup$
            – SampleTime
            Dec 11 '18 at 18:32










          • $begingroup$
            @SampleTime I have updated my answer.
            $endgroup$
            – Kwin van der Veen
            Dec 12 '18 at 0:49


















          • $begingroup$
            I dont really understand how I can choose $A_e, C_e, x_e(0)$ such that $r$ is, for example a simple ramp signal $r = t$. If I take $A_e neq 0$, $r$ will decay exponentially to zero (or to $pm infty$ if $A_e$ is not Hurwitz). If I take $A_e = 0$, then I can only get a step at $t = 0$ with height depending on $x_e(0)$. Can you give an example how to choose $A_e, C_e, x_e(0)$ to generate $r = t$ with system $(2)$?
            $endgroup$
            – SampleTime
            Dec 11 '18 at 18:32










          • $begingroup$
            @SampleTime I have updated my answer.
            $endgroup$
            – Kwin van der Veen
            Dec 12 '18 at 0:49
















          $begingroup$
          I dont really understand how I can choose $A_e, C_e, x_e(0)$ such that $r$ is, for example a simple ramp signal $r = t$. If I take $A_e neq 0$, $r$ will decay exponentially to zero (or to $pm infty$ if $A_e$ is not Hurwitz). If I take $A_e = 0$, then I can only get a step at $t = 0$ with height depending on $x_e(0)$. Can you give an example how to choose $A_e, C_e, x_e(0)$ to generate $r = t$ with system $(2)$?
          $endgroup$
          – SampleTime
          Dec 11 '18 at 18:32




          $begingroup$
          I dont really understand how I can choose $A_e, C_e, x_e(0)$ such that $r$ is, for example a simple ramp signal $r = t$. If I take $A_e neq 0$, $r$ will decay exponentially to zero (or to $pm infty$ if $A_e$ is not Hurwitz). If I take $A_e = 0$, then I can only get a step at $t = 0$ with height depending on $x_e(0)$. Can you give an example how to choose $A_e, C_e, x_e(0)$ to generate $r = t$ with system $(2)$?
          $endgroup$
          – SampleTime
          Dec 11 '18 at 18:32












          $begingroup$
          @SampleTime I have updated my answer.
          $endgroup$
          – Kwin van der Veen
          Dec 12 '18 at 0:49




          $begingroup$
          @SampleTime I have updated my answer.
          $endgroup$
          – Kwin van der Veen
          Dec 12 '18 at 0:49


















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