State Space: time dependent states but time-independent output

In summary, the conversation discusses representing a system in a state space model and determining the output matrix. It is noted that the state space representation is only valid for linear systems and should not contain time as a variable. Modifications are suggested to make the system linear and time independent.
  • #1
phys_student1
106
0
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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  • #2
Looks good to me!
 
  • #3
But this blows up if cos(x)=0, although the original output would not!
 
  • #4
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 :(
 
  • #5
you need to modify your system, or representation of the system, such that it is linear and time independant
 

1. What is state space in relation to time-dependent states but time-independent output?

State space refers to a mathematical model used to represent the behavior of a system over time. In the context of time-dependent states but time-independent output, it means that the state of the system changes over time, but the output remains constant.

2. How is state space different from time domain and frequency domain?

State space is a more general representation of a system compared to time domain and frequency domain. In state space, the state of the system is represented by a set of variables, whereas in time and frequency domain, the system is described by its input and output signals.

3. What are the advantages of using state space over other representations?

State space provides a more complete and accurate description of a system's behavior, as it takes into account the interdependencies between the system's inputs, outputs, and internal states. It also allows for easy analysis and control design.

4. How is state space used in control systems?

In control systems, state space is used to represent the dynamics of the system and its behavior over time. This allows for the design of controllers that can regulate and stabilize the system based on its internal states.

5. Can state space be used for nonlinear systems?

Yes, state space can be used to represent and analyze both linear and nonlinear systems. However, for nonlinear systems, the state space equations may become more complex and require advanced techniques for analysis and control design.

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