Solving Non-Linear Systems with Higher Order Differential Equations

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In control engineering, higher order differential equations can be represented as a set of first-order differential equations, allowing for the application of state space representation. The discussion highlights the ability to solve non-linear systems using state space models, which are suitable for multiple input and output systems. The user seeks guidance on solving non-linear systems specifically when they are described by higher order differential equations. Key mathematical concepts to explore include state space techniques and transformation methods. Understanding these concepts is essential for effectively modeling physical systems in control engineering.
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Homework Statement


In control engineering, I want to have a mathematical model of a physical system as a set of input, output and state variables related by higher order differential equations.

2. Relevant concepts
As we all know that, in control engineering, we can solve linear-system using transfer functions. The transfer function is the linear mapping of the Laplace transform of the input, X(s), to the output Y(s). And we use state space models for Multiple input Multiple output systems and/or for non-linear systems. Right?

Y(s) = H(s) X(s)

The Attempt at a Solution



I am able to solve non-linear system using state space representation where mathematical model of a physical system is a set of input, output and state variables are related by first-order differential equations.

But, my question is, how do I solve non-linear system using state space representation where physical system is a set of input, output and state variables are related by higher order differential equations.

Which concepts in mathematics should I refer?

I hope my question is clear. Thanks for the help.
 
Last edited:
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An nth order differential equation can allways be represented as a set of n first order differential equations.
 

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