ECE 8443 – Pattern Recognition EE 3512 – Signals: Continuous and Discrete Objectives: First-Order Second-Order N th -Order Computation of the Output Signal.

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ECE 8443 – Pattern Recognition EE 3512 – Signals: Continuous and Discrete Objectives: First-Order Second-Order N th -Order Computation of the Output Signal Transfer Functions Resources: PD: Differential Equations Wiki: Applications to DEs GS: Laplace Transforms and DEs IntMath: Solving DEs Using Laplace PD: Differential Equations Wiki: Applications to DEs GS: Laplace Transforms and DEs IntMath: Solving DEs Using Laplace LECTURE 23: DIFFERENTIAL EQUATIONS Audio: URL:

EE 3512: Lecture 23, Slide 1 First-Order Differential Equations Consider a linear time-invariant system defined by: Apply the one-sided Laplace transform: We can now use simple algebraic manipulations to find the solution: If the initial condition is zero, we can find the transfer function: Why is this transfer function, which ignores the initial condition, of interest? (Hints: stability, steady-state response) Note we can also find the frequency response of the system: How does this relate to the frequency response found using the Fourier transform? Under what assumptions is this expression valid?

EE 3512: Lecture 23, Slide 2 RC Circuit The input/output differential equation: Assume the input is a unit step function: We can take the inverse Laplace transform to recover the output signal: For a zero initial condition: Observations:  How can we find the impulse response?  Implications of stability on the transient response?  What conclusions can we draw about the complete response to a sinusoid?

EE 3512: Lecture 23, Slide 3 Second-Order Differential Equation Consider a linear time-invariant system defined by: Apply the Laplace transform: If the initial conditions are zero: Example: What is the nature of the impulse response of this system? How do the coefficients a 0 and a 1 influence the impulse response?

EE 3512: Lecture 23, Slide 4 N th -Order Case Consider a linear time-invariant system defined by: Example: Could we have predicted the final value of the signal? Note that all circuits involving discrete lumped components (e.g., RLC) can be solved in terms of rational transfer functions. Further, since typical inputs are impulse functions, step functions, and periodic signals, the computations for the output signal always follows the approach described above. Transfer functions can be easily created in MATLAB using tf(num,den).

EE 3512: Lecture 23, Slide 5 Circuit Analysis Voltage/Current Relationships: Series Connections (Voltage Divider):

EE 3512: Lecture 23, Slide 6 Circuit Analysis (Cont.) Parallel Connections (Current Divider): Example: Note the denominator of the transfer function did not change. Why?

EE 3512: Lecture 23, Slide 7 RLC Circuit Consider computation of the transfer function relating the current in the capacitor to the input voltage. Strategy: convert the circuit to its Laplace transform representation, and use normal circuit analysis tools. Compute the voltage across the capacitor using a voltage divider, and then compute the current through the capacitor. Alternately, can use KVL, KVC, mesh analysis, etc. The Laplace transform allows us to reduce circuit analysis to algebraic manipulations. Note, however, that we can solve for both the steady state and transient responses simultaneously. See the textbook for the details of this example.

EE 3512: Lecture 23, Slide 8 Interconnections of Other Components There are several useful building blocks in signal processing: integrator, differentiator, adder, subtractor and scalar multiplication. Graphs that describe interconnections of these components are often referred to as signal flow graphs. MATLAB includes a very nice tool, SIMULINK, to deal with such systems.

EE 3512: Lecture 23, Slide 9 Example

EE 3512: Lecture 23, Slide 10 Example (Cont.) Write equations at each node: Solve for the first for Q 1 (s): Subst. this into the second: Subst. into the third and solve for Y(s)/X(s):

EE 3512: Lecture 23, Slide 11 Interconnections Blocks can be thought of as subsystems that make up a system described by a signal flow graph. We can reduce such graphs to a transfer function. Consider a parallel connection: Consider a series connection:

EE 3512: Lecture 23, Slide 12 Feedback Feedback plays a major role in signals and systems. For example, it is one way to stabilize an unstable system. Assuming interconnection does not load the other systems: How does the addition of feedback influence the stability of the system? What if connection of the feedback system changes the properties of the systems? How can we mitigate this?

EE 3512: Lecture 23, Slide 13 Summary Demonstrated how to solve 1 st and 2 nd -order differential equations using Laplace transforms. Generalized this to N th -order differential equations. Demonstrated how the Laplace transform can be used in circuit analysis. Generalize this approach to other useful building blocks (e.g., integrator). Next:  Generalize this approach to other block diagrams.  Work another circuit example demonstrating transient and steady-state response.

EE 3512: Lecture 23, Slide 14 Circuit Analysis Example Assume R = 1, C = 2, and: Also assume Can we predict the form of the output signal? Or solve using Laplace: Class assignment: find y(t) using: Analytic/PPT – Laplace transform (last name begins with A-M) Numerical – MATLAB code + plot (last name begins with N-P) me the results by 8 AM Monday for 1 point extra credit (maximum)