Finding eigenvalues for 4 DOF system

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SUMMARY

The discussion focuses on determining the eigenvalues of a fourth-order dynamic system, specifically an 8x8 system represented by the equation \(\dot{\mathbf{u}} = A \mathbf{u} + \mathbf{b}\). The approach involves introducing auxiliary variables to reduce the system to first order, allowing for the analysis of the matrix A to find its eigenvalues. The goal is to ensure that the eigenvalues are purely real, indicating stability in the system. Participants emphasize the importance of correctly transforming the system to facilitate eigenvalue calculation.

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  • Understanding of eigenvalue problems in linear algebra
  • Familiarity with dynamic systems and state-space representation
  • Knowledge of matrix transformations and auxiliary variable introduction
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Sirsh
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Hey all,

I've derived a fourth order dynamic system as represented by the following:
Capture.jpg

I need to determine the eigenvalues for this system to check whether they're purely real with no imaginary components.

How should I go about doing this? I have done eigenvalue problems in the past, but not to this extent. Would I just determine the eigenvalues for each matrix then do the addition of them?

Note: all the variables (excluding theta's and x's) have constant values.

Any help would be appreciated, thanks!
 
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Here's how I would approach it, first introduce auxiliary variables and reduce the system to first order. For example replace \ddot{\theta}_2 \to \dot{\omega}_2 and \dot{\theta}_2 \to \omega with the additional equation \dot{\theta}_2 = \omega_2. You'll end up with an 8x8 system but it will be first order, of the form:

\dot{\mathbf{u}} = A \mathbf{u} + \mathbf{b}
With \mathbf{u} = ( \theta_2,\theta_3, x_2, x_5, \omega_2,\omega_3, v_2,v_5)^T.

You can then focus on finding or qualifying the eigen-values of the matrix A.
 
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jambaugh said:
Here's how I would approach it, first introduce auxiliary variables and reduce the system to first order. For example replace \ddot{\theta}_2 \to \dot{\omega}_2 and \dot{\theta}_2 \to \omega with the additional equation \dot{\theta}_2 = \omega_2. You'll end up with an 8x8 system but it will be first order, of the form:

\dot{\mathbf{u}} = A \mathbf{u} + \mathbf{b}
With \mathbf{u} = ( \theta_2,\theta_3, x_2, x_5, \omega_2,\omega_3, v_2,v_5)^T.

You can then focus on finding or qualifying the eigen-values of the matrix A.

Thank you for your help Jambaugh!
 

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