State Space: time dependent states but time-independent output

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SUMMARY

The discussion focuses on the representation of a time-dependent sinusoidal system in state space form. The state transition matrix is defined as $$A=\begin{bmatrix} 0 & 1 \\ -\omega^2 & 0 \\ \end{bmatrix}$$, while the output matrix is proposed as $$C=\begin{bmatrix} 0 & \frac{-1}{\cos{\omega t}} \end{bmatrix}$$. However, it is concluded that the state space representation is only valid for linear systems, and sinusoidal functions are inherently non-linear. Therefore, modifications are necessary to ensure the system is both linear and time-independent.

PREREQUISITES
  • Understanding of state space representation in control systems
  • Knowledge of linear algebra, specifically matrices
  • Familiarity with sinusoidal functions and their properties
  • Concept of linearity in mathematical systems
NEXT STEPS
  • Research linearization techniques for non-linear systems
  • Study the implications of time independence in state space models
  • Explore the use of the state transition matrix in control theory
  • Learn about the representation of sinusoidal signals in linear systems
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Control engineers, systems analysts, and students studying linear systems and state space representation will benefit from this discussion.

phys_student1
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Let:
$$x_1=A\sin{\omega t}$$ $$x_2=\dot{x}_1=A\omega \cos{\omega t}$$ $$y=A\omega$$
We want to represent this system in a state space model. The state transition matrix read:
$$A=\begin{bmatrix} 0 & 1 &\\ -\omega^2 & 0 \\ \end{bmatrix}$$ I am not sure what the output matrix will be like. Can we say
$$y=A\omega=\frac{-x_2}{\cos{\omega t}}$$
So that:
$$C=\begin{bmatrix} 0 & \frac{-1}{\cos{\omega t}} \end{bmatrix}$$
 
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Looks good to me!
 
But this blows up if cos(x)=0, although the original output would not!
 
So one point that I overlooked, state space representation is really only valid for linear systems.
sinusoidal functions are not linear.
the state space representation also should not contain time as a variable, as it demonstrates how the system responds over time.

I was incorrect to say it looked fine :(
 
you need to modify your system, or representation of the system, such that it is linear and time independent
 

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