This document discusses using MATLAB to solve differential equations through Laplace transformations. It introduces key terms like the Laplace operator and generating function. It then demonstrates how to use MATLAB commands like "laplace" and "ilaplace" to calculate the Laplace transform of a function and take the inverse Laplace transform. Examples are provided, such as finding the Laplace transform of the function f(t)=-1.25+3.5t*exp(-2t)+1.25*exp(-2t).
Laplace transforms
Definition of Laplace Transform
First Shifting Theorem
Inverse Laplace Transform
Convolution Theorem
Application to Differential Equations
Laplace Transform of Periodic Functions
Unit Step Function
Second Shifting Theorem
Dirac Delta Function
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Laplace transforms
Definition of Laplace Transform
First Shifting Theorem
Inverse Laplace Transform
Convolution Theorem
Application to Differential Equations
Laplace Transform of Periodic Functions
Unit Step Function
Second Shifting Theorem
Dirac Delta Function
state space representation,State Space Model Controllability and Observabilit...Waqas Afzal
State Variables of a Dynamical System
State Variable Equation
Why State space approach
Block Diagram Representation Of State Space Model
Controllability and Observability
Derive Transfer Function from State Space Equation
Time Response and State Transition Matrix
Eigen Value
FDM Numerical solution of Laplace Equation using MATLABAya Zaki
Finite Difference Method Numerical solution of Laplace Equation using MATLAB. 2 computational methods are used.
U can vary the number of grid points and the boundary conditions
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Differential equation & laplace transformation with matlab
1. Differential equation &
LAPLACE TRANSFORmation
with MATLAB
RAVI JINDAL
Joint Masters, SEGE (M1) Second semester
B.K. Birla institute of Engineering & Technology, Pilani
2. Differential Equations with
MATLAB
MATLAB has some powerful features for
solving differential equations of all types. We
will explore some of these features for the
Constant Coefficient Linear Ordinary
Differential Equation forms.
The approach here will be that of the Symbolic
Math Toolbox. The result will be the form of
the function and it may be readily plotted with
MATLAB.
4. Finding Solutions to Differential
Equations
Solving a First Order Differential Equation
Solving a Second Order Differential
Equation
Solving Simultaneous Differential
Equations
Solving Nonlinear Differential Equations
Numerical Solution of a Differential
Equation
5. Solving a 1st Order DE
Consider the differential
equation:
122 =+ y
dt
dy
The general solution is given by:
The Matlab command used to solve differential
equations is dsolve .
Verify the solution using dsolve command
6. Solving a Differential
Equation in Matlab
C1 is a constant which is specified by way of the
initial condition
Dy means dy/dt and D2y means d2y/dt2 etc
» syms y t
» ys=dsolve('Dy+2*y=12')
ys =6+exp(-2*t)*C1
8. Solving a 2nd Order DE
8
Find the general solution of:
02
2
2
=+ yc
dt
yd
)cos()sin()( 21 ctCctCty +=
» syms c y
» ys=dsolve('D2y = - c^2*y')
ys = C1*sin(c*t)+C2*cos (c*t)
9. 9
Solve the following set of differential equations:
Solving Simultaneous
Differential Equations Example
yx
dt
dx
43 += yx
dt
dy
34 +−=
Syntax for solving simultaneous differential equations is:
dsolve('equ1', 'equ2',…)
10. The general solution is given by:
General Solution
)4sin()4cos()( 3
2
3
1 tectectx tt
+=
)4cos()4sin()( 3
2
3
1 tectecty tt
+−=
yx
dt
dx
43 += yx
dt
dy
34 +−=
Given the equations:
11. Matlab Verification
» syms x y t
» [x,y]=dsolve('Dx=3*x+4*y','Dy=-4*x+3*y')
x = exp(3*t)*(cos(4*t)*C1+sin(4*t)*C2)
y = -exp(3*t)*(sin(4*t)*C1-cos(4*t)*C2)
yx
dt
dx
43 += yx
dt
dy
34 +−=
Given the
equations:
General
solution is:
)4sin()4cos()( 3
2
3
1 tectectx tt
+=
)4cos()4sin()( 3
2
3
1 tectecty tt
+−=
12. Solve the previous system with the initial conditions:
Initial Conditions
0)0( =x 1)0( =y
» [x,y]=dsolve('Dx=3*x+4*y','Dy=-4*x+3*y',
'y(0)=1','x(0)=0')
x = exp(3*t)*sin(4*t)
y = exp(3*t)*cos(4*t) )4cos(
)4sin(
3
3
tey
tex
t
t
=
=
13. Non-Linear Differential Equation Example
Solve the differential equation: 2
4 y
dt
dy
−=
Subject to initial condition:
1)0( =y
» syms y t
» y=dsolve('Dy=4-y^2','y(0)=1')
» y=simplify(y)
y =
2*(3*exp(4*t)-1)/(1+3*exp(4*t))
( )
t
t
e
e
ty 4
4
31
132
)(
+
−
=
14. If another independent variable, other than t, is used, it must
be introduced in the dsolve command
Specifying the Independent Parameter of a
Differential Equation
122 =+ y
dx
dy
» y=dsolve('Dy+2*y=12','x')
y = 6+exp(-2*x)*C1
Solve the differential equation:
x
eCxy 2
16)( −
+=
15. Numerical Solution Example
Not all non-linear differential equations have a closed
form solution, but a numerical solution can be found
Solve the differential equation:
Subject to initial conditions:
0)sin(92
2
=+ y
dt
yd
1)0( =y
0)0( =
•
y
16. 16
Rewrite Differential Equation
yx =1
••
== 12 xyx
)sin(9
)sin(9
12
2
xx
yyx
−=
−==
•
•••
0)sin(92
2
=+ y
dt
yd
1)0()0(1 == yx
0)0()0(2 ==
•
yx
Rewrite in the
following form
)sin(92
2
yy
dt
yd
−==
••
17. 17
Solve DE with MATLAB.
>> y = dsolve ('D2y + 3*Dy + 2*y = 24',
'y(0)=10', 'Dy(0)=0')
y = 12+2*exp(-2*t)-4*exp(-t)
>> ezplot(y, [0 6])
2
2
3 2 24
d y dy
y
dt dt
+ + =
(0) 10y = '(0) 0y =
18.
19. Definition of Laplace
Transformation:
Let f(t) be a given function defined for all t ≥ 0 ,
then the Laplace Transformation of f(t)
is defined as
Here,
L = Laplace Transform Operator.
f(t) =determining function, depends on t .
F(s)= Generating function, depends on s .
21. Laplace Transforms with MATLAB
Calculating the Laplace F(s) transform of a function f(t) is
quite simple in Matlab . First you need to specify that the
variable t and s are symbolic ones. This is done with the
command
>> syms t s
The actual command to calculate the transform is
>> F = Laplace (f , t , s)
22. example for the function f(t)
>> syms t s
>> f=-1.25+3.5*t*exp(-2*t)+1.25*exp(-2*t);
>> F = laplace ( f , t , s)
F = -5/4/s+7/2/(s+2)^2+5/4/(s+2)
>> simplify(F)
ans = (s-5)/s/(s+2)^2
>> pretty (ans)
23. Inverse Laplace Transform
The command one uses now is ilaplace .
>> syms t s
>> F=(s-5)/(s*(s+2)^2);
>> ilaplace(F)
ans = -5/4+(7/2*t+5/4)*exp(-2*t)
>> simplify(ans)
ans = -5/4+7/2*t*exp(-2*t)+5/4*exp(-2*t)
>> pretty(ans)
- 5/4 + 7/2 t exp(-2 t) + 5/4 exp(-2 t)