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Chapter 2 Systems Defined by Differential or Difference Equations

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Presentation on theme: "Chapter 2 Systems Defined by Differential or Difference Equations"— Presentation transcript:

1 Chapter 2 Systems Defined by Differential or Difference Equations

2 Linear I/O Differential Equations with Constant Coefficients
Consider the CT SISO system described by System

3 Initial Conditions In order to solve the previous equation for , we have to know the N initial conditions

4 Initial Conditions – Cont’d
If the M-th derivative of the input x(t) contains an impulse or a derivative of an impulse, the N initial conditions must be taken at time , i.e.,

5 First-Order Case Consider the following differential equation: Its solution is or if the initial time is taken to be

6 Generalization of the First-Order Case
Consider the equation: Define Differentiating this equation, we obtain

7 Generalization of the First-Order Case – Cont’d

8 Generalization of the First-Order Case – Cont’d
Solving for it is which, plugged into , yields

9 Generalization of the First-Order Case – Cont’d
If the solution of is then the solution of is

10 System Modeling – Electrical Circuits
resistor capacitor inductor

11 Example: Bridged-T Circuit
Kirchhoff’s voltage law loop (or mesh) equations

12 Linear I/O Difference Equation With Constant Coefficients
Consider the DT SISO system described by System N is the order or dimension of the system

13 Solution by Recursion Unlike linear I/O differential equations, linear I/O difference equations can be solved by direct numerical procedure (N-th order recursion) (recursive DT system or recursive digital filter)

14 Solution by Recursion – Cont’d
The solution by recursion for requires the knowledge of the N initial conditions and of the M initial input values

15 can be obtained analytically in a closed form and expressed as
Analytical Solution Like the solution of a constant-coefficient differential equation, the solution of can be obtained analytically in a closed form and expressed as (total response = zero-input response + zero-state response)


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