What's the course about
The course focuses on how to implement complex decision flows and finite-state machines using Stateflow and provides a general understanding of how to accelerate the design process for closed-loop control systems using MATLAB. Also it offers the good understanding of modelling and analyzing electrical systems. |
| |
| Course objective |
| This course gives guidance on key features of widely used toolboxes in simulink, help transform concepts to a complete model, verify and evaluate the system behaviour in different user environments. It allows the attendees to explore the more advanced features of MATLAB in a unified manner and help learners 'future-proof' themselves and remain relevant for the rapidly evolving technology from industry perspective. |
| |
| Key course contents |
 |
MATLAB built-in functions |
|
2D and 3D plots |
|
Simulink modelling |
|
Masks and Subsystems |
|
Lookup table editor and breakpoints |
|
Stateflow modelling |
|
Hierarchical state machines) |
|
Parallel state machines |
|
Events in state machines |
|
Functions in state machines |
|
Truth tables and State transition tables |
|
Control systems stability analysis |
|
Controller implementation – P, PI, PID |
|
Frequency response estimation |
|
Simscape modelling |
|
Selecting solver methods |
|
Connecting physical signals and simulink signals |
|
|
|
| |
| Who can enroll |
Students, professionals, research scholars in Electrical and Electronics domain and students pursuing their Bachelors, Diploma or Masters in ECE, EEE, E&I, CS and IT, and industry professionals.
Anyone who wants to enrich themselves with the key skills of simulink, Stateflow, Simscape and control systems design. |
| |
| Job opportunities |
| MATLAB developer, Simulink model developers, Electric vehicle modelling engineer, Vehicle dynamics engineer,Process control engineer are some of the frequently posted jobs for which MATLAB students can apply. |
| |
 |
|
