Control systems form the backbone of modern engineering, enabling precise regulation of dynamic processes in industries, robotics, and automation. Linear control focuses on systems that obey the principle of superposition, providing analytical tools for stability and feedback design. Fundamentals of Linear Control introduces the essential theories and mathematical models governing linear time-invariant systems. It covers topics such as transfer functions, root locus, frequency response, and state-space analysis. The book also explores PID controllers, system compensation, and stability criteria. With examples, simulations, and real-world applications, it equips students and engineers with a solid understanding of classical and modern control strategies.