MATLAB & SIMULINK

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MATLAB & Simulink – Training focuses on modeling, simulation & analysis for real-world engineering applications using MATLAB and Simulink tools. It is important as it helps professionals design, test & optimize systems in domains like control, signal processing & embedded systems. This training is ideal for engineers, researchers & students seeking hands-on expertise in simulation & system design.

Duration of Training : 40-50 Hours
Batch type : Weekdays/Weekends
Mode of Training : Classroom/Online/Corporate Training

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Overview

The Syllabus

Curriculum Designed by Experts

Module 1: Introduction to MATLAB Environment (3 Hours)

• Overview of MATLAB Interface and Workflow
• MATLAB Desktop, Editor, Command Window, and Help Browser
• Working with Variables, Arrays, and Matrices
• Scripts, Functions, and M-files
• Data Types and Basic Mathematical Operations
• Importing and Exporting Data (Excel, CSV, Text Files)
Assignment:
• Write MATLAB scripts for matrix operations and data plotting.
• Create a custom function to calculate basic statistics.

Module 2: Data Visualization and Programming Concepts (4 Hours)

• 2D and 3D Plotting (line, bar, surface, mesh)
• Conditional Statements and Loops
• Creating Functions and Subfunctions
• File Input/Output Operations
• Debugging and Error Handling
• MATLAB App Designer Introduction
Assignment:
• Develop a MATLAB app to visualize 2D datasets.
Project Scenario:
• Build a simple “Data Trend Analyzer” tool using MATLAB UI.

Module 3: Introduction to Simulink (4 Hours)

• What is Simulink?
• Simulink Environment and Libraries
• Model-Based Design Concepts
• Blocks, Signals, and Parameters
• Building and Running Basic Simulink Models
• Simulation Settings, Solver Configuration, and Time Steps
Assignment:
• Create a Simulink model for a basic mathematical operation (e.g., y=mx+cy = mx+ cy=mx+c).
Project Scenario:
• Model and simulate a simple DC motor system in Simulink.

Module 4: Control System Design using MATLAB & Simulink (6 Hours)

• Transfer Function and State-Space Representation
• Step Response and System Stability
• PID Controller Design and Tuning
• Root Locus, Bode Plot, and Frequency Analysis
• Closed-loop vs Open-loop System Simulations
• Simulink Control Design Toolbox
Assignment:
• Simulate a PID controller for a first-order system.
Project Scenario:
• Design and simulate a Speed Control System for a DC Motor using PID tuning.

Module 5: Signal Processing and Filter Design (5 Hours)

• Introduction to Digital Signal Processing (DSP) in MATLAB
• Fourier Transform, FFT, and Spectral Analysis
• Designing FIR and IIR Filters using MATLAB
• Implementing Filters in Simulink
• Signal Visualization and Noise Reduction Techniques
Assignment:
• Design a low-pass FIR filter and test with noisy audio data.
Project Scenario:
• Build a Noise Cancellation System using real-time audio signals in MATLAB.

Module 6: Simulink for Electrical & Mechanical Systems (5 Hours)

• Modeling Electrical Circuits (RLC, Motors, Transformers)
• Simscape and SimElectronics Overview
• Modeling Mechanical and Thermal Systems
• Parameter Sweeps and System Optimization
• Multi-domain Simulation (Electromechanical System)
Assignment:
• Model an RLC circuit using Simulink and analyze its transient response.
Project Scenario:
• Develop and simulate a Hybrid Energy Storage System (Battery +
Supercapacitor).

Module 7: MATLAB for Machine Learning and Data Analytics (5 Hours)

• Introduction to Machine Learning in MATLAB
• Data Preprocessing and Feature Engineering
• Regression, Classification, and Clustering Models
• Model Evaluation and Visualization
• Integration with Simulink for Predictive Control
Assignment:
• Train and test a linear regression model for predictive analysis.
Project Scenario:
• Predict Vehicle Fuel Efficiency using MATLAB Machine Learning Toolbox

Module 8: Embedded System Design & Code Generation (5 Hours)

• Embedded Coder Overview
• Simulink Code Generation for Microcontrollers
• Hardware-in-the-Loop (HIL) Simulation Basics
• Arduino and Raspberry Pi Integration
• Real-Time Workshop and Deployment
Assignment:
• Generate C code for a Simulink model using Embedded Coder.
Project Scenario:
• Implement a Temperature Control System using Arduino + Simulink Model.

Module 9: Modeling and Simulation Optimization (3 Hours)

• Simulation Data Inspector and Performance Analysis
• Parameter Tuning & Sensitivity Analysis
• Monte Carlo Simulation
• Optimization Toolbox in MATLAB
• Integrating MATLAB Scripts with Simulink Models
Assignment:
• Perform parameter optimization for a second-order control system.

Module 10: Capstone Projects (6–8 Hours)

Project 1: DC Motor Speed Control System
• Use Simulink and Control Toolbox to design a PID controller.
• Compare manual vs. auto-tuning results.
Project 2: Real-Time TraWic Signal Control
• Develop a Simulink model that simulates real-time tramic light operations using logical blocks.
Project 3: Signal Processing and Audio Filtering
• Design and test a real-time audio equalizer using MATLAB DSP Toolbox.
Project 4: Machine Learning Integration with Simulink
• Build a predictive maintenance model and deploy it in a Simulink control loop.

Duration: 40–50 Hours

Section	Hours
MATLAB Fundamentals & Visualization	7
Simulink Modeling	8
Control Systems & Signal Processing	10
Machine Learning & Embedded Systems	10
Optimization & Projects	8–10

Tools & Toolboxes Covered

• MATLAB Core Environment
• Simulink
• Control System Toolbox
• Signal Processing Toolbox
• Simscape / SimElectronics
• Machine Learning Toolbox
• Embedded Coder
• Optimization Toolbox

🎯 Learning Outcomes

After completing this course, participants will be able to:
✅ Build MATLAB scripts and functions for data analysis and visualization.
✅ Design and simulate dynamic systems using Simulink.
✅ Implement control systems, DSP algorithms, and predictive models.
✅ Deploy MATLAB-Simulink models to embedded hardware.
✅ Solve real-world engineering problems through simulation and data analysis.

💼 Ideal for

• Electrical / Electronics / Mechanical Engineers
• Control System Engineers
• Automotive / Aerospace Simulation Engineers
• Embedded Systems Developers
• Research Scholars & Data Analysts

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Matlab & Simulink Course Certification With Training In Bangalore

Q: Module 10: Capstone Projects (6–8 Hours)

Project 1: DC Motor Speed Control System • Use Simulink and Control Toolbox to design a PID controller. • Compare manual vs. auto-tuning results. Project 2: Real-Time TraWic Signal Control • Develop a Simulink model that simulates real-time tramic light operations using logical blocks. Project 3: Signal Processing and Audio Filtering • Design and test a real-time audio equalizer using MATLAB DSP Toolbox. Project 4: Machine Learning Integration with Simulink • Build a predictive maintenance model and deploy it in a Simulink control loop.

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