Linear & Nonlinear Systems | Digital Signal Processing - Electronics and Communication Engineering (ECE) PDF Download

A linear system follows the laws of superposition. This law is necessary and sufficient condition to prove the linearity of the system. Apart from this, the system is a combination of two types of laws −

  • Law of additivity
  • Law of homogeneity

Linear & Nonlinear Systems | Digital Signal Processing - Electronics and Communication Engineering (ECE)

Both, the law of homogeneity and the law of additivity are shown in the above figures. However, there are some other conditions to check whether the system is linear or not.

The conditions are

  • The output should be zero for zero input.
  • There should not be any non-linear operator present in the system.

Examples of non-linear operators −

(a) Trigonometric operators- Sin, Cos, Tan, Cot, Sec, Cosec etc.

(b) Exponential, logarithmic, modulus, square, Cube etc.

(c) sa(i/p) , Sinc (i/p) , Sqn (i/p) etc.

Either input x or output y should not have these non-linear operators.

Examples

Let us find out whether the following systems are linear.

a) y(t) = x(t)+3

This system is not a linear system because it violates the first condition. If we put input as zero, making x(t) = 0, then the output is not zero.

b) y(t) = sintx(t)

In this system, if we give input as zero, the output will become zero. Hence, the first condition is clearly satisfied. Again, there is no non-linear operator that has been applied on x(t). Hence, second condition is also satisfied. Therefore, the system is a linear system.

c) y(t) = sin(x(t))

In the above system, first condition is satisfied because if we put x(t) = 0, the output will also be sin(0) = 0. However, the second condition is not satisfied, as there is a non-linear operator which operates x(t). Hence, the system is not linear.

If we want to define this system, we can say that the systems, which are not linear are non-linear systems. Clearly, all the conditions, which are being violated in the linear systems, should be satisfied in this case.

Conditions

  • The output should not be zero when input applied is zero.

  • Any non-linear operator can be applied on the either input or on the output to make the system non-linear.

Examples

To find out whether the given systems are linear or non-linear.

a) y(t)=ex(t)

In the above system, the first condition is satisfied because if we make the input zero, the output is 1. In addition, exponential non-linear operator is applied to the input. Clearly, it is a case of Non-Linear system.

b) y(t) = x(t+1) +x(t−1)

The above type of system deals with both past and future values. However, if we will make its input zero, then none of its values exists. Therefore, we can say if the input is zero, then the time scaled and time shifted version of input will also be zero, which violates our first condition. Again, there is no non-linear operator present. Therefore, second condition is also violated. Clearly, this system is not a non-linear system; rather it is a linear system.

The document Linear & Nonlinear Systems | Digital Signal Processing - Electronics and Communication Engineering (ECE) is a part of the Electronics and Communication Engineering (ECE) Course Digital Signal Processing.
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FAQs on Linear & Nonlinear Systems - Digital Signal Processing - Electronics and Communication Engineering (ECE)

1. What is the difference between linear and non-linear systems in electrical engineering?
Ans. In electrical engineering, a linear system is one where the output is directly proportional to the input, following the principle of superposition. On the other hand, a non-linear system does not exhibit a proportional relationship between the input and output. Non-linear systems often involve components like diodes, transistors, and amplifiers that introduce non-linearities.
2. Can linear systems be solved using linear algebra?
Ans. Yes, linear systems can be solved using linear algebra techniques. This involves representing the system of equations as a matrix equation and then finding the solution using methods like Gaussian elimination, matrix inversion, or matrix eigenvalue analysis. Linear algebra provides a powerful toolset for analyzing and solving linear systems in electrical engineering.
3. How are linear and non-linear systems modeled mathematically?
Ans. Linear systems can be modeled mathematically using linear differential equations or difference equations, which describe the relationship between the input and output variables. Non-linear systems, on the other hand, require more complex mathematical models that may involve non-linear differential equations, nonlinear state-space representations, or non-linear difference equations.
4. What are some practical applications of linear and non-linear systems in electrical engineering?
Ans. Linear systems find applications in various areas of electrical engineering, such as control systems, signal processing, communication systems, and circuit analysis. Non-linear systems are commonly encountered in areas like power electronics, RF and microwave engineering, audio systems, and nonlinear control systems. Understanding and analyzing both types of systems is crucial for designing efficient and reliable electrical engineering systems.
5. Are there any techniques to linearize non-linear systems in electrical engineering?
Ans. Yes, there are techniques to linearize non-linear systems in electrical engineering. One common approach is linearization by approximation, where the system is linearized around an operating point using techniques like Taylor series expansion. Another method is feedback linearization, which involves designing a feedback control system to transform a non-linear system into a linear one. These techniques are useful in simplifying the analysis and control of non-linear systems.
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