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How To Plot Transfer Functions In Matlab?

  How can I plot this state space like the graph I attached by using tf() and step() command? Thank you!   I2/E0=1/(s^3+s^2+3*s+1)         NOTE:- Matlabsolutions.com  provide latest  MatLab Homework Help, MatLab Assignment Help  ,  Finance Assignment Help  for students, engineers and researchers in Multiple Branches like ECE, EEE, CSE, Mechanical, Civil with 100% output.Matlab Code for B.E, B.Tech,M.E,M.Tech, Ph.D. Scholars with 100% privacy guaranteed. Get MATLAB projects with source code for your learning and research. Try these codes below please;   clc; clear; close all; numerator = 1; denominator = [1,1,3,1]; sys = tf(numerator,denominator); yyaxis left SEE COMPLETE ANSWER CLICK THE LINK https://www.matlabsolutions.com/resources/how-to-plot-transfer-functions-in-matlab-.php

How to plot multiple graphs in one figure ?

 I have two codes. Each code has four graphs. I want to plot two graphs in one figure. For example: Dead nodes vs Round graph of two should be in one figure. In the same way other graphs also. I tried hold on function but still not getting. How to merge the two codes in order to get the graphs ?

Code 1:

clc
clear all;
close all;
xm=100;
ym=100;
x=0;
y=0;
sink.x=0.5*xm;  %location of sink on x-axis
sink.y=0.9*ym;  %location of sink on y-axis
n=100  %nodes
P=0.1 ;  %probability of cluster heads
Eo=0.5; %initial energy
ETX=50*0.000000001;  %tx energy
ERX=50*0.000000001;  %rx energy
Efs=10*0.000000000001;  %free space loss
Emp=0.0013*0.000000000001;   %multi path loss
%Data Aggregation Energy
EDA=5*0.000000001;  %compression energy
a=1;   %fraction of energy enhancment of advance nodes
rmax=3000  %maximum number of rounds
do=sqrt(Efs/Emp);  %distance do is measured
Et=0;  %variable just use below 
A=0;
for i=1:1:n
    S(i).xd=rand(1,1)*xm;  %generates a random no. use to randomly distibutes nodes on x axis
    XR(i)=S(i).xd;
    S(i).yd=rand(1,1)*ym;  %generates a random no. use to randomly distibutes nodes on y axis
    YR(i)=S(i).yd;
    S(i).G=0; %node is elegible to become cluster head
    talha=rand*a;
    S(i).E=Eo*(1+talha);
    E(i)= S(i).E;
    A=A+talha;  
    Et=Et+E(i);  %estimating total energy of the network
    %initially there are no cluster heads only nodes
    S(i).type='N';
    figure(10)
    plot(S(i).xd,S(i).yd,'bo');
    text(S(i).xd+1,S(i).yd-0.5,num2str(i));
    title 'Node Deployment';
    xlabel 'X-Coordinate(m)';
    ylabel 'Y-Coordinate(m)';
    hold on;
end

d1=0.765*xm/2;  %distance between cluster head and base station
K=sqrt(0.5*n*do/pi)*xm/d1^2; %optimal no. of cluster heads
d2=xm/sqrt(2*pi*K);  %distance between cluster members and cluster head
Er=4000*(2*n*ETX+n*EDA+K*Emp*d1^4+n*Efs*d2^2);  %energy desipated in a round
S(n+1).xd=sink.x; %sink is a n+1 node, x-axis postion of a node
S(n+1).yd=sink.y; %sink is a n+1 node, y-axis postion of a node
countCHs=0;  %variable, counts the cluster head
cluster=1;  %cluster is initialized as 1
flag_first_dead=0; %flag tells the first node dead
flag_tenth_dead=0;  %flag tells the 10th node dead
flag_all_dead=0;  %flag tells all nodes dead
dead=0;  %dead nodes count initialized to 0
first_dead=0;
tenth_dead=0;
all_dead=0;
allive=n;
%counter for bit transmitted to Bases Station and to Cluster Heads
packets_TO_BS=0;
packets_TO_CH=0;
for r=0:1:rmax     
    r
  if(mod(r, round(1/P) )==0)
    for i=1:1:n
        S(i).G=0;
        S(i).cl=0;
    end
  end
Ea=Et*(1-r/rmax)/n;
dead=0;
for i=1:1:n
   
    if (S(i).E<=0)
        dead=dead+1; 
        if (dead==1)
           if(flag_first_dead==0)
              first_dead=r;
              flag_first_dead=1;
           end
        end
        if(dead==0.1*n)
           if(flag_tenth_dead==0)
              tenth_dead=r;
              flag_tenth_dead=1;
           end
        end
        if(dead==n)
           if(flag_all_dead==0)
              all_dead=r;
              flag_all_dead=1;
           end
        end
    end
    if S(i).E>0
        S(i).type='N';
    end
end

  NOTE:-


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> I want to plot two graphs in one figure
Options are
  • subplot
  • tiledlayout with nexttile - preferred, starting in R2019b
subplot(m,n,i) creates an axes in the i^th position of an m-by-n grid.
tiledlayout(m,n) creates an m-by-n grid upon which axes can be added using nexttile.
See documentation links for details.
Benefits to using tiledlayout
The following features are great improvements available in tiledlayout.
  1. Flexible grid sizes (TileArrangment property)
  2. Control spacing (TileSpacing and Padding properties, Community Highlight)
  3. Row-wise or column-wise order of axes (TileIndexing property, Community Highlight)
  4. Global labels such as a title, subtitle, xlabel and ylabel (labels properties)
  5. Global legends, starting in R2020b (legend layout propertydocumentation examplemore demos)
  6. Global colorbars, starting in R2020b (colorbar layout propertydocumentation exampledemo)
  7. Specify the span of an axes within the grid using nexttile(span)
Demo
 
 
tcl = tiledlayout(2,3,'TileSpacing','compact');

nexttile
plot(magic(5))
axis tight

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