루스-허위츠 기준 II

A singular zero in the first column creates a division by zero problem. To resolve this, a small number called epsilon is substituted for the zero. The stability analysis then proceeds by assuming a sign for epsilon. Regardless of whether epsilon is positive or negative, the sign changes indicate the system is unstable with two poles in the right-half s-plane.

When an entire row consists of zeros, it indicates an even polynomial is a factor of the original polynomial. An auxiliary polynomial is constructed using coefficients from the row above the zero row. This auxiliary polynomial is differentiated, and the derivative coefficients replace the zeros in the table. The standard Routh table construction then continues from this point.

The epsilon substitution method resolves division by zero issues when a singular zero appears in the Routh table's first column. By assuming epsilon as either positive or negative and observing sign changes, engineers can determine if the system is unstable. Both epsilon values lead to the same conclusion: two poles exist in the right-half s-plane, indicating instability.

When an entire row of zeros appears, the original polynomial contains an even polynomial factor. Even and odd polynomials are tabulated separately using the auxiliary polynomial method. The total number of right-half s-plane poles is determined by summing the poles found in both the even and odd polynomial Routh tables, ensuring comprehensive stability analysis.

The auxiliary polynomial method addresses the special case when an entire Routh table row contains zeros. By differentiating the auxiliary polynomial formed from the row above the zeros, engineers obtain coefficients that replace the zeros. This technique prevents misinterpretation of system stability and enables accurate identification of right-half s-plane poles for robust system design.

The first special case occurs when a singular zero appears in the Routh table's first column, requiring epsilon substitution. The second case arises when an entire row contains zeros, indicating an even polynomial factor. Both scenarios require specific handling techniques to avoid misinterpretation and ensure accurate determination of system stability and right-half s-plane pole locations.

The Routh-Hurwitz criterion analyzes sign changes in the first column of the Routh table to determine stability. When special cases like singular zeros or zero rows occur, specific techniques such as epsilon substitution or auxiliary polynomial differentiation are applied. The presence of sign changes indicates poles in the right-half s-plane, confirming the system is unstable and affecting transient and steady state response.