Control Systems Engineering with MATLAB

Engineering relies on the ability to predict and manage the behavior of complex machines. This text-based course introduces the essential principles of control systems, providing the mathematical and practical tools needed to ensure system stability and performance. You will learn to bridge the gap between theoretical physics and automated execution through clear, written explanations and code-based examples. What you'll learn: - Define core concepts of feedback, sensitivity, and system error. - Model dynamic systems using transfer functions and state-space equations. - Evaluate stability using frequency response methods and Root Locus techniques. - Design and tune PID controllers for various engineering applications. - Use MATLAB for system simulation and performance verification. - Understand the transition from continuous-time to modern digital control systems. The course starts with foundational definitions and modeling techniques before moving into detailed analysis and controller design strategies. It is created for beginners and early-career engineers looking to build a professional grasp of control logic. Begin your journey into system automation and stability.