A tool employing the RouthHurwitz stability criterion determines the stability of a linear, time-invariant (LTI) system. This method, based on the coefficients of the system’s characteristic polynomial, arranges them within a structured table called the Routh array. Analysis of this array reveals the presence of any roots with positive real parts, indicating instability. For instance, a simple second-order system with the characteristic equation s + 2ns + n = 0 can be evaluated using this tabular method to quickly assess system stability without explicitly solving for the roots.
This analytical technique provides a rapid and efficient means of evaluating system stability without requiring complex calculations. Its importance stems from the critical role stability plays in control system design, ensuring a system responds predictably and avoids uncontrolled oscillations or runaway behavior. Developed in the late 19th century, it remains a fundamental tool for engineers across various disciplines, facilitating the design and analysis of stable control systems in applications ranging from aerospace to industrial automation. The ability to swiftly determine stability allows engineers to focus on other design parameters, optimizing performance and robustness.