CONTROL SYSTEMS : THEORY AND APPLICATIONS

Control Systems: Theory and Applications is a foundational course designed to provide students with a comprehensive understanding of the principles and techniques used in the modeling, analysis, and design of control systems in engineering. It bridges theoretical concepts with real-world implementation, laying the groundwork for advanced study or industrial applications in automation, robotics, mechatronics, and electrical systems.

The course introduces both classical control strategies—such as transfer function-based analysis, root locus, Bode plots, and Nyquist plots—and modern control approaches, including state-space modeling. Core topics include system modeling using differential equations, Laplace transforms, block diagram reduction, time-domain and frequency-domain responses, feedback control, stability analysis, and controller design (PI, PD and PID controllers) and compensator design.

In addition to strong theoretical foundations, the course places emphasis on practical insights, demonstrating how control systems are utilized in real-life applications across aerospace, automotive systems, power generation, industrial automation, and biomedical devices.

Students will engage with analytical methods as well as simulation tools such as MATLAB/Simulink, enhancing their ability to visualize and test system behavior. By the end of the course, learners will be proficient in designing and evaluating control strategies that meet performance, stability, and robustness requirements for a variety of dynamic systems and applications.