Nonlinear constrained optimization using MATLAB’s fmincon

Because of the pervasiveness of nonlinearities in modeling practical objective functions and constraints, it is essential to study the methods of solving nonlinear optimization problems with equality and/or inequality constraints. Learn how to solve them using MATLAB’s fmincon solver and graphically interpret the optimal solutions.

MATLAB, Blog

Audio Processing using MATLAB

Learn the simplified way of Audio Processing in MATLAB and experiment with more ways of manipulating signals in MATLAB.

Simulink, Blog, MATLAB

Battery Management System in MATLAB

Battery Management System is a Smart technology that automatically monitors a Battery pack. Learn its working and characteristics, and implement it in Simulink.

MATLAB, Blog

MATLAB Modelling of Heat Eqn

The heat equation is one of the partial differential equation applications, which is used to study random walks and Brownian motion. Learn the complete mathematics behind it along with the MATLAB modeling.

MATLAB, Blog

Robot motion simulation and localization with particle filter in MATLAB

Have you ever thought about how you could estimate the position and orientation of a mobile robot with range sensors in a known map? We can quickly and accurately achieve this using a particle filter to localize the robot. Visualize this simulation in MATLAB using GUI and get an intuitive understanding of how the particle filter work

Blog, MATLAB

Designing and Analysis of a Weather Radar in MATLAB

Time to create a weather RADAR, using the Signal Processing & Communication Toolbox in MATLAB! We will be looking into the characteristics and performance of the weather RADAR under different environmental conditions.

MATLAB, Blog

Modelling of Free Oscillations of Mass Spring System

We all came across the infamous mass-spring system during our physics classes. This time let’s revisit it with the visualization power of MATLAB.

MATLAB, Blog

Distance between randomly sampled points in sphere using MATLAB

Random sampling of points in a unit sphere is done by normalizing a direction vector and scaling this vector by the cube root of a uniform random number.