t=(ti:h:tf);
n=length(t);
if t(n)<tf
t(n+1)=tf;
n=n+1;
end
else t=tspan;
end
while(1)
tend=t(np+1);
hh=t(np+1)-t(np);
while(1)
if hh>h,hh=h;
end
while(1)
if tt+hh>tend,hh=tend-tt;
end
k1=dydt(tt,y(i,:),varargin{:})';
ymid=y(1,:)+k1.*hh./2;
k2=dydt(tt+hh/2,ymid,varargin{:})';
ymid=y(i,:)+k2*hh/2;
k3=dydt(tt+hh/2,ymid,varargin{:});
yend=y(i,:);
k4=dydt(tt+hh,yend,varargin{:})';
phi=(k1+2*(k2+k3)+k4)/6;
y(i+1,:)=y(i,:)+phi*hh;
tt=tt+hh;
i=i+1;
if tt>=tend,break,end
end
np=np+1;
tp(np)=tt;
yp(np,:)=y(i,:);
if tt>=tf,break,end
end
plot(tp,yp)
end
clc;
clear all;
h=1.5;
x = 0:h:3;
y = zeros(1,length(x));
y(1) = 5;
F_xy = @(t,r) 3.*exp(-t)-0.4*r;
for i=1:(length(x)-1)
k_1 = F_xy(x(i),y(i));
k_2 = F_xy(x(i)+0.5*h,y(i)+0.5*h*k_1);
k_3 = F_xy((x(i)+0.5*h),(y(i)+0.5*h*k_2));
k_4 = F_xy((x(i)+h),(y(i)+k_3*h));
y(i+1) = y(i) + (1/6)*(k_1+2*k_2+2*k_3+k_4)*h;
end
function [t,y] = System(f,n,h)
M = [0,1;-3,-4];
y(1, :) = [2, -4];
f =@(t,y)(M*y')';
t(1) = 0;
for j = 1 : n
k1 = h * f(t(j), y(j,:) );
k2 = h * f( t(j) + h/2, y(j,:) + k1/2 );
k3 = h * f( t(j) + h/2, y(j,:) + k2/2 );
k4 = h * f( t(j) + h, y(j,:) + k3 );
y(j+1,:) = y(j,:) + (k1 + 2*k2 + 2*k3 + k4) / 6;
end
clc; % Clears the screen
clear all;
thete=30;
g= 9.81; %Constant
h=0.01; % step size
tfinal = 3;
N=ceil(tfinal/h); %ceil is round up
t(1) = 0;% initial condition
Vx(1)=0;%initial accleration
X(1)=0;
Vz(1)=0;
Z(1)=20;%initial velocity
fn = 0.866;
Bz = 0.35;
Phi(1)= 30;
W(1)= 0;
%Bxx = ((Z-Z(1))+5.8*cos(thete)+Bz*(sin(Phi)-sin(thete)));
Bxx = 0.5;
%sliding phase
F_X = @(t,X,Vx,Phi) Vx;
F_Z = @(t,Z,Vz,Phi) Vz;
F_Phi= @(t,Phi,W) W;
F_Vx = @(t,X,Vx,Phi)(fn*(cos(Phi)-0.05*(sin(Phi))));
F_Vz = @(t,Z,Vz,Phi)(fn*(sin(Phi)+0.05*(cos(Phi)))-g);
F_W = @(t,Phi,W)((fn*(Bxx+Bz*0.05))/20000);
for i=1:N; % calculation loop
%update time
t(i+1)=t(i)+h;
%update motions main equation
%rotation phase
k_1 = F_X (t(i) ,X(i) ,Vx(i) ,Phi(i));
L_1 = F_Vx(t(i) ,X(i) ,Vx(i) ,Phi(i));
k_2 = F_X
(t(i)+0.5*h,X(i)+0.5*h*k_1,Vx(i)+0.5*h*L_1,Phi(i)+0.5*h*L_1);
L_2 =
F_Vx(t(i)+0.5*h,X(i)+0.5*h*k_1,Vx(i)+0.5*h*L_1,Phi(i)+0.5*h*L_1);
k_3 = F_X
(t(i)+0.5*h,X(i)+0.5*h*k_2,Vx(i)+0.5*h*L_2,Phi(i)+0.5*h*L_2);
L_3 =
F_Vx(t(i)+0.5*h,X(i)+0.5*h*k_2,Vx(i)+0.5*h*L_2,Phi(i)+0.5*h*L_2);
k_4 = F_X (t(i)+h ,X(i)+h *k_3,Vx(i)+ h*L_3,Phi(i)+h*L_3);
L_4 = F_Vx(t(i)+h ,X(i)+h *k_3,Vx(i)+ h*L_3,Phi(i)+h*L_3);
k_11 = F_Z (t(i) ,Z(i) ,Vz(i) ,Phi(i));
L_11 = F_Vz(t(i) ,Z(i) ,Vz(i) ,Phi(i));
k_22 = F_Z
(t(i)+0.5*h,Z(i)+0.5*h*k_11,Vz(i)+0.5*h*L_11,Phi(i)+0.5*h*L_11);
L_22 =
F_Vz(t(i)+0.5*h,Z(i)+0.5*h*k_11,Vz(i)+0.5*h*L_11,Phi(i)+0.5*h*L_11);
k_33 = F_Z
(t(i)+0.5*h,Z(i)+0.5*h*k_22,Vz(i)+0.5*h*L_22,Phi(i)+0.5*h*L_22);
L_33 =
F_Vz(t(i)+0.5*h,Z(i)+0.5*h*k_22,Vz(i)+0.5*h*L_22,Phi(i)+0.5*h*L_22);
k_44 = F_Z (t(i)+ h,Z(i)+ h*k_33,Vz(i)+
h*L_33,Phi(i)+h*L_33);
L_44 = F_Vz(t(i)+ h,Z(i)+ h*k_33,Vz(i)+ h*L_33,Phi(i)+h*L_33);
k_5 = F_Phi (t(i) ,Phi(i) ,W(i));
L_5 = F_W (t(i) ,Phi(i) ,W(i));
k_6 = F_Phi (t(i)+0.5*h,Phi(i)+0.5*h*k_5,W(i)+0.5*h*L_5);
L_6 = F_W (t(i)+0.5*h,Phi(i)+0.5*h*k_5,W(i)+0.5*h*L_5);
k_7 = F_Phi (t(i)+0.5*h,Phi(i)+0.5*h*k_6,W(i)+0.5*h*L_6);
L_7 = F_W (t(i)+0.5*h,Phi(i)+0.5*h*k_6,W(i)+0.5*h*L_6);
k_8 = F_Phi (t(i)+ h,Phi(i)+ h*k_7,W(i)+ h*L_7);
L_8 = F_W (t(i)+ h,Phi(i)+ h*k_7,W(i)+ h*L_7);
X(i+1) = X(i) + (h/6)*(k_1+2*k_2+2*k_3+k_4);
Vx(i+1) = Vx(i) + (h/6)*(L_1+2*L_2+2*L_3+L_4);
Z(i+1) = Z(i) + (h/6)*(k_11+2*k_22+2*k_33+k_44);
Vz(i+1) = Vz(i) + (h/6)*(L_11+2*L_22+2*L_33+L_44);
Phi(i+1)= Phi(i) + (h/6)*(k_5+2*k_6+2*k_7+k_8);
W(i+1) = W(i) + (h/6)*(L_5+2*L_6+2*L_7+L_8);
end
figure
plot(X,Z,'--', 'Linewidth', 1.5, 'color', 'red')
xlabel('time')
ylabel('height')
legend('position')
figure
plot(Phi,W,'--', 'Linewidth', 1.5, 'color', 'blue')
xlabel('time')
ylabel('height')
legend('rotation')
figure
plot(t,Vx,'--', 'Linewidth', 1.5, 'color', 'black')
hold on
plot(t,Vz,'--', 'Linewidth', 1.5, 'color', 'yellow')
hold on
plot(t,W,'--','Linewidth',1.5,'color','green')
xlabel('time')
ylabel('height')
legend('Vx','Vz','W')
fprintf('time %.3f\n x %.3f\n z %.3f\n ',t,X,Z);
fprintf('W %.3f\n',W);
fprintf('Phi %.3f\n',Phi);
function RKSystems(a, b, m, N, alpha, f)
h = (b - a)/N;
t = a;
w = zeros(1, m);
for j = 1:m
w(j) = alpha(j);
end
fprintf('t = %.2f;', t);
for i = 1:m
fprintf(' w(%d) = %.10f;', i, w(i));
end
fprintf('\n');
k = zeros(4, m);
for i = 1:N
for j = 1:m
k(1, j) = h*f{j}(t, w);
end
for j = 1:m
k(2, j) = h*f{j}(t + h/2, w + (1/2)*k(1));
end
for j = 1:m
k(3, j) = h*f{j}(t + h/2, w + (1/2)*k(2));
end
for j = 1:m
k(4, j) = h*f{j}(t + h, w + k(3));
end
for j = 1:m
w(j) = w(j) + (k(1, j) + 2*k(2, j) + 2*k(3, j) + k(4, j))/6;
end
t = a + i*h;
fprintf('t = %.2f;', t);
for k = 1:m
fprintf(' w(%d) = %.10f;', k, w(k));
end
fprintf('\n');
end
end
Solve Example 6.2 on page 111 of textbook, using (1) the 4th order Runge Kutta method...
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help me with this. Im done with task 1 and on the way to do task 2. but I don't know how to do it. I attach 2 file function of rksys and ode45 ( the first is rksys and second is ode 45) . thank for your help Consider the spring-mass damper that can be used to model many dynamic systems -- ----- ------- m Applying Newton's Second Law to a free-body diagram of the mass m yields the...
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I'm trying to solve this differential equations by using matlab and I've got a plot from the code attached. But I wanna get a plot of completely sinusoidal form. If I can magnify the plot and expand x-axis, maybe we can get the sinusoidal form. So help me with this problem by using matlab. Example is attached in below. One is the plot from this code and another is example. function second_order_ode2 t=[0:0.001:1]; initial_x=0; initial_dxdt=0; [t,x]=ode45(@rhs,t,[initial_x initial_dxdt]); plot(t,x(:,1)) xlabel('t') ylabel('x')...
I'm trying to solve this differential equations by using matlab and I've got a plot from the code attached. But I wanna get a plot of completely sinusoidal form. If I can magnify the plot and expand x-axis, maybe we can get the sinusoidal form. So help me with this problem by using matlab. Example is attached in below. One is the plot from this code and another is example. function second_order_ode2 t=[0:0.001:1]; initial_x=0; initial_dxdt=0; [t,x]=ode45(@rhs,t,[initial_x initial_dxdt]); plot(t,x(:,1)) xlabel('t') ylabel('x')...
(1) (2) (3) (4) (1 point) 18 28 -1 (Note: This problem has several parts. The latter parts will not appear until after the earlier parts are completed correctly.) This is similar to a problem in the textbook. A graph of f is shown above. Estimate the following integral. 18 f(x)dx Notice the integral points x-values y-values Estimate the integral Sf(x)dx x-values If we use these integral points to divide the region into five intervals, what are the x-values (including...