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Understand how to analyse, design, and optimise dynamic systems.
Exam‑style questions with instant feedback.
Section 1: Introduction
Section 2: Mathematical Modeling
Section 3: Time Domain Analysis
Section 4: Root Locus
Section 5: Frequency Domain Analysis
Section 6: Compensation Design
Section 7: State-Space Modeling
Section 8: State-Space Design
What you’ll achieve
Learn feedback control principles and system stability analysis.
Analyse dynamic systems using transfer functions and frequency response.
Design and implement PID and advanced controllers.
Apply control theory to mechanical, electrical, and industrial systems.
Develop problem-solving skills for real-world system optimisation.

Course overview
Control Systems introduces the principles and techniques used to model, analyse, and control engineering systems. Students explore feedback mechanisms, system stability, transfer functions, and frequency response analysis. The course covers both classical and modern control approaches, including PID controllers and state-space methods. Practical applications in mechanical, electrical, and industrial engineering are emphasised, enabling learners to design systems that maintain desired performance under varying conditions. By the end of the course, students gain the analytical and practical skills to implement effective control strategies in real-world engineering scenarios.
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