Monday to Saturday 9am to 9pm , Sunday - Halfday

Address

KP Towers, Arcot road
Arut Jothi Towers

MATLAB

MATLAB

MATLAB FOR ELECTRONICS

OBJECTIVE:

This course provides and enriched platform in MATLAB using the key skills of Simulink, Stateflow image processing, Signal processing, Fuzzy Logic, Networks and gets to explore more advanced features of interfacing with Arduino, Raspberry  Pi, Android sensors, FPGA, Embedded systems and IOT based applications.

matlab

COURSE CURRICULUM:

  • Introduction to MATLAB environment
  • Simulink modelling
  • Marks and Subsystems
  • Lookup table editor and breakpoints
  • State flow modelling
  • Hierarchical and parallel state machines
  • Events and functions in state machines
  • Truth tables and state transition tables
  • Digital Image Processing-Split and Simulating
  • Digital signal processing-script and Simulink 
  • Developing applications using GUI environment
  • Fuzzy Logic Toolbox
  • Neural Networks Toolbox
  • Interfacing Arduino with Sprit and Simulink
  • Interfacing Raspberry Pi with Spirit and Simulink
  • Interface in Android sensor
  • Code generation using HDL coder
  • Interfacing with Embedded  systems
  • MATLAB and the internet of things (IoT)

matlab

Duration: 40 hours

MATLAB FOR ELECTRICALS

OBJECTIVE:

This course gives guidance on key features of widely used toolboxes in Simulink , Stateflow, control system and Simscape. The course focuses on how to implement complex decision flows and finite-state machines using Stateflow and provides a general understanding of how accelerate the design process for closed-loop control systems using MATLAB. It also offers the good understanding of modeling and analyzing electrical systems.

matlab electrical

COURSE CURRICULUM:

  • 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 system stability analysis
  • Controller implementation-P, P1, PID
  • Frequency response estimation
  • Simscape modelling
  • Selecting solver methods 
  • Connecting physical signals and Simulink signals.

Duration: 40 hours

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