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2.2.2 Linearization of Nonlinear Differential Equations 
The above components and systems are supposed to be linear, so the mathematical models of them 
are linear differential equations. Actually, all components or systems are nonlinear to some extent. 
For example, rigidity of a spring is related to its formation. It is not always a constant. 
Some parameters such as resistant R, inductance L and capacitance C are related to the 
environment (temperature, humidity, pressure, etc) and the current going through. Thus, they are 
not always constants. Friction, dead-zone or some other nonlinear factors will make the differential 
equation complex and nonlinear. Strictly speaking, mathematical models for real systems are 
always nonlinear. 
Unfortunately, so far there is no universal solution for nonlinear differential equations. Thus, 
nonlinear systems are usually linearized based on reasonable rules. Nonlinear systems usually can 
be represented by linear differential equations in a small value range of variables so that they can 
be analysis and design by linear system theories. Although it is an approximate solution, it is 
convenient for analysis and calculation in practice.

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Linearize Nonlinear Differential Equations Easily

  • 1. 2.2.2 Linearization of Nonlinear Differential Equations The above components and systems are supposed to be linear, so the mathematical models of them are linear differential equations. Actually, all components or systems are nonlinear to some extent. For example, rigidity of a spring is related to its formation. It is not always a constant. Some parameters such as resistant R, inductance L and capacitance C are related to the environment (temperature, humidity, pressure, etc) and the current going through. Thus, they are not always constants. Friction, dead-zone or some other nonlinear factors will make the differential equation complex and nonlinear. Strictly speaking, mathematical models for real systems are always nonlinear. Unfortunately, so far there is no universal solution for nonlinear differential equations. Thus, nonlinear systems are usually linearized based on reasonable rules. Nonlinear systems usually can be represented by linear differential equations in a small value range of variables so that they can be analysis and design by linear system theories. Although it is an approximate solution, it is convenient for analysis and calculation in practice.