Academic laboratory experiments using MATLAB & Simulink for system modeling and control analysis

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⚙️ MATLAB & Simulink – Academic Practice Repository

This repository contains MATLAB programs, Simulink models, calculations, and lab reports developed as part of my first-semester undergraduate engineering coursework.

The work focuses on fundamental concepts of electrical circuits, signals, systems, and control engineering, implemented through MATLAB scripting and Simulink block-diagram simulations.

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📘 Academic Context

• Course: Signals & Systems / Control Systems Laboratory
• Level: Undergraduate (First Semester)
• Purpose: To build a strong foundation in mathematical modeling, simulation, and analysis of engineering systems using MATLAB and Simulink.

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🧠 Concepts Covered

🔹 MATLAB Programming

• Numerical computation and equation solving
• System response analysis
• Plotting and visualization of results
• Script-based experimentation using .m files

🔹 Simulink Modeling

• Block-diagram representation of dynamic systems
• Modeling of control and signal-flow systems
• Simulation and visualization of system behavior
• Interpretation of results using scopes and plots

🔹 Control Systems

• Open-loop and closed-loop system analysis
• Time-domain response evaluation
• Stability and response behavior
• Comparison between theoretical and simulated outputs

🔹 Circuit & System Analysis

• Basic electrical and system-level modeling
• Validation of analytical calculations using simulation
• Understanding real-world system behavior through models

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🛠️ Tools Used

• MATLAB
• Simulink
• MATLAB Plotting Utilities
• PDF / DOCX for formal lab documentation

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🎯 Learning Outcomes

Through these laboratory experiments, I developed:

• Hands-on experience with MATLAB and Simulink
• Strong understanding of system modeling and simulation
• Foundational knowledge of control systems
• Ability to validate mathematical models using simulation tools
• Confidence in analyzing and interpreting engineering system behavior

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📌 Notes

• This repository represents academic coursework and laboratory practice.
• The code and models are written with a focus on learning, clarity, and correctness.
• This is not a production-level control system implementation.

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📜 License

This project is licensed under the MIT License.

Copyright (c) 2026
Krish Singh
GitHub: https://github.com/wasitkrish