MATLAB Cheatsheet

🟢 Beginner Level

📊 Data Types

🔢 Arrays

myArray = 1:1:10;
myArray2 = 1:2:10;
A = [1 2; 2 3];

Array Indexing

A = [10 20; 30 40];
A(1,2);
A(3);
A(:,1);
A(2,:);

🧩 Concatenation

A = ones(1,4);
B = zeros(1,4);
C = [A B];
D = [A; B];

📦 Cell Arrays

name = {"Shuvangkar", "Swati"};
info = {"Shuvangkar", 28, [1,2,3]};
info{1};
info{3};
firstname = name{1};
firstname2 = name(1);

🧱 Structures

student.name = "Shuvangkar";
student.id = 1106125;
student.class = "PhD Student";
student.('name');

Arrays of Structures

student(1).name = "Shuvangkar";
student(2).name = "Swati";
nums(1).f = 1; nums(2).f = 2;
allNums = [nums.f];

🔁 Control Flow

for i = 1:10
    disp(i)
end

while condition
    % code
end

if condition
    % code
elseif other_condition
    % code
else
    % code
end

🖨️ Console Output

fprintf('My name is %s\n', "Shuvangkar");
disp("Shuvangkar");

🔤 String Operations

strcmp('a','a');
"a" == "a";
"Hello" + " World";
strcat('Good','Morning');
["Good ", "Morning"]

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🟡 Intermediate Level

⚡ Vectorized Operations

A = [1 2 3]; B = [2 4 6]; C = 10;
A + B;
A + C;
A .* B;
B ./ A;

🔎 Logical Indexing

D = [-0.2 1.0 1.5 3.0 -1.0];
Dpositive = D(D >= 0);

🏗️ Memory Preallocation

data = zeros(1,5);
names = cell(1,5);

⏱️ Measure Execution Time

startTime = clock;
etime(clock, startTime);

tic;
toc;

📈 Basic Plotting

plot(x1,y1,x2,y2,...);
plot(y);

🎨 Plotting Enhancements

xlabel('x-axis'); ylabel('y-axis');
title('My Plot');
legend('Data 1');
grid on;
subplot(2,1,1); scatter(x,y); histogram(data);

📏 Array Dimensions

size(A);
length(A);
numel(A);

🔧 Utility Functions

isempty(A);
find(X==1);
unique(A);
sort(A);
mean(A);
std(A);
max(A); min(A);
any(A); all(A);

📁 File I/O

data = readmatrix('file.csv');
writematrix(data, 'output.csv');
text = fileread('file.txt');

📊 Tables

T = table(Name, Age);
T.Name;
T(2,:);

🔄 Loop Over Structure Fields

fn = fieldnames(data);
for k = 1:numel(fn)
    disp(data.(fn{k}));
end

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🔵 Advanced Level

∑ Symbolic Math

sym(2)/sym(5);
syms a b c x;
f = a*x^2 + b*x + c;
syms f(x,y);
f(x,y) = x^2*y;
dfx = diff(f, x);
dfy = diff(f, y);

🧩 Matrix Operations

inv(A);
pinv(A);
det(A);
eig(A);
rank(A);
null(A);
svd(A);

🔄 Anonymous Functions

f = @(x) x.^2 + 1;
fminbnd(f, 0, 10);

🧪 NaN and Inf Handling

isnan(A);
isinf(A);
fillmissing(A,'previous');

🧪 Debugging & Help

help functionName;
doc functionName;
which functionName;

🚀 Optional Advanced Topics

• ODE solvers: ode45, ode23, ode15s

• Parallel Computing: parfor, parpool

• GUI: uifigure, uicontrol

• Classes & OOP

• App Designer

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👋 About Me

Hi, I’m Shuvangkar Das, a power systems researcher with a Ph.D. in Electrical Engineering from Clarkson University. I work at the intersection of power electronics, DER, IBR, and AI — building greener, smarter, and more stable grids. Currently, I’m a Research Scientist at EPRI (though everything I share here reflects my personal experience, not my employer’s views).

Over the years, I’ve worked on real-world projects involving large scale EMT simulation and firmware development for grid-forming and grid following inverter and reinforcement learning (RL). I also publish technical content and share hands-on insights with the goal of making complex ideas accessible to engineers and researchers.

📺 Subscribe to my YouTube channel, where I share tutorials, code walk-throughs, and research productivity tips.

Connect with me:

📚References