The root locus method is an invaluable tool for analyzing higher-order systems without needing to factor the denominator of the transfer function. A pole of the system is identified when the characteristic polynomial in the transfer function's denominator equals zero.

To determine if a point lies on the root locus, the criterion involves the sum of angles contributed by all poles and zeros to that point. Specifically, this sum must be an odd multiple of 180 degrees. The gain at any point on the root locus is found by dividing the product of the lengths from the poles to the point by the product of the lengths from the zeros to the point.

For a unity feedback system, the transfer function can be analyzed using this method. The angle at a specific point on the root locus is calculated by summing the angles from the system's zeros and poles to that point. To verify if a point is part of the root locus, this sum must equal an odd multiple of 180 degrees.

Once a point is confirmed to be on the root locus, the gain at that point can be determined by comparing the distances from the system's poles and zeros to the point. This involves calculating the product of distances from each pole to the point and dividing by the product of distances from each zero to the point.

This method is particularly useful in the design and analysis of control systems, allowing engineers to predict how changes in system parameters affect stability and response. By understanding the root locus, engineers can design systems that maintain desired performance characteristics, ensuring stability across a range of operating conditions.

In summary, the root locus method provides a systematic approach to analyzing higher-order systems by focusing on the angles and distances from poles and zeros to a given point. This technique helps confirm the stability and performance of a system under varying gains, making it an essential tool in control system design and analysis.