06.07.2026 (Monday): Foundations of Control Systems & Python Setup: Introduction, Mathematical modeling (transfer functions, basic differential equations), Python tools: NumPy, Matplotlib, Control library & Hands-on Session: Setting up environment (Colab/ IDLE), Simple system simulation
07.07.2026 (Tuesday): System Representation & Analysis: Transfer functions and block diagrams, Time-domain analysis (step, impulse response), Stability basics (poles, zeros) & Hands-on Session: Plotting responses and interpreting results in Python
08.07.2026 (Wednesday): Frequency Domain Analysis: Frequency response concepts (Bode plots, Nyquist idea), Gain and phase margins, System performance interpretation & Hands-on Session: Generating Bode plots and analyzing stability in Python
09.07.2026 (Thursday): Controller Design Techniques: PID controller fundamentals, Tuning methods (trial, Ziegler–Nichols overview), Root locus concept (intuitive approach) & Hands-on Session: Designing and tuning PID controllers using Python
10.07.2026 (Friday): Applications & Industry case study: Real-world systems (motor control, temperature, robotics relevance), Introduction to state-space (basic idea), Hands-on Session: Case Study: Model → Analyze → Design → Simulate
11.07.2026 (Saturday): AI-Based Approaches and Applications: AI in control, real-time systems, Open discussion with Q&A Session
- End-to-end learning: Modeling → Analysis → Controller Design → Simulation using Python.
- Daily hands-on sessions with real-world control system applications.
- Integration of classical control techniques with modern AI-based approaches.
- Focus on open-source tools (Python) for practical, industry-relevant skills.
- Bridges theory with implementation for teaching, research, and innovation.
