System simplification through state space

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SUMMARY

The discussion centers on the simplification of a non-linear system by separating its linear and non-linear components using state space representation. The user, Guillem, successfully obtained the state space of the linear part using the 'linmod' command in MATLAB. The conversation highlights the importance of understanding the relationship between state space matrices and transfer functions for system simplification. It concludes that while separation is feasible under specific assumptions, further reduction of the linear system can be achieved through state space techniques.

PREREQUISITES
  • Understanding of state space representation in control systems
  • Familiarity with MATLAB, specifically the 'linmod' command
  • Knowledge of linear and non-linear system dynamics
  • Basic concepts of transfer functions in control theory
NEXT STEPS
  • Explore MATLAB's state space functions for system analysis
  • Learn about the relationship between state space and transfer function representations
  • Investigate methods for reducing state space models
  • Study the implications of non-linear components in control systems
USEFUL FOR

Electrical engineers, control system designers, and students working on projects involving non-linear systems and state space analysis.

Guillem
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Hi guys!

I study Electrical Engineering and, don't-know-why, I don't know anything about state space. Now I'm working on a project where I have a non-linear system. The first task in the project is to separate the linear and the non-linear part of this system, and then obtain the state space for the linear part in order to "simplify" it (that is at least what I understood).

So... I obtained the state space of the system (using linmod command in Matlab, easy) but now I wonder how I'm supposed to get the output (of the linear system) from the space state matrices.

· Would it be a reduction/simplification if I use the transfer function?
· Or I misunderstood something and it's impossible to simplify the system by its space state representation?

Thank you very much.

Guillem
 
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How exactly is the problem worded? In general one cannot separate the linear part from the nonlinear part unless one is told to make certain assumptions.
 
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In this case is easy, because the nonlinear part is modeled by a variable capacitor. So, the whole system can be separates in two series system, the first one linear, and the second one the capacitor with nonlinear respone.
Once separates I've to focus on reduce, using the state space, the linear system
 

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