Learn how to use MATLAB to simulate nonlinear and complex process dynamics in four steps: define the model, solve the equations, plot the results, and analyze sensitivity.

Model Identification algorithms play a vital role in determining process dynamics. After performing bump test, the very next is to identify model dynamics to tune PID controller or MPC. Otherwise, ...

Learn how to use MATLAB for data analysis, modeling, simulation, optimization, and code generation for process automation in the energy sector.

Modeling: Gaussian Process Regression (GPR) with Automatic Relevance Determination (ARD) is used to model the relationship between climate indicators and the number of hotspots. Kernel Functions: The ...

In this project, temperature data is logged in real time in MATLAB workspace by building a model using Arduino IO Library in Simulink. Process parameter measurement carried out for experimental ...

In my co-op experience, I worked in various fields and industries including oil and gas, medical devices, batteries and nanotechnology. However, the areas that have attracted my attention the most are ...

The control schemes of the aerobridge docking process are proposed based on (1) Home position to Pre-set position, and (2) Pre-set position to Target position, which are developed in MATLAB/Simulink.

The Matlab PDE Toolbox and Comsol Multiphysics coupling with Matlab via LiveLink are used in mathematical and computer modeling of field electron emission from emitter-arrays, as well as from single ...