š Routh-Hurwitz Criterion – Complete Theory & Worked Examples
Routh-Hurwitz Criterion is a powerful method to determine stability without solving the characteristic equation. It tells how many roots lie in the Right Half Plane.
š¹ 1. Characteristic Equation
General nth order polynomial:
a₀sāæ + a₁sāæ⁻¹ + a₂sāæ⁻² + ... + aā = 0
All coefficients must be positive for possible stability.
š¹ 2. Routh Array Formation
First two rows are formed from coefficients:
Row 1 → a₀ a₂ a₄ ... Row 2 → a₁ a₃ a₅ ...
Remaining rows computed using determinant formula.
š¹ 3. Stability Condition
- All elements of first column must be positive.
- Number of sign changes in first column = number of RHP roots.
š¹ 4. Worked Example 1
Given characteristic equation:
s³ + 5s² + 6s + 2 = 0
Step 1: Form Routh Table
s³ | 1 6 s² | 5 2 s¹ | (5×6 − 1×2)/5 = 28/5 s⁰ | 2
Step 2: First Column
1 5 28/5 2
No sign change → Stable system.š¹ 5. Worked Example 2 (Unstable Case)
s³ + 2s² − s − 2 = 0
Routh Table
s³ | 1 -1 s² | 2 -2 s¹ | (2×(-1) − 1×(-2))/2 = 0 s⁰ | -2
First column: 1 2 0 -2 Sign change from + to - → One RHP root → Unstable.š¹ 6. Special Case – Zero in First Column
If first element becomes zero: Replace zero with small ε and continue. This indicates possible marginal stability.š¹ 7. Special Case – Entire Row Zero
Indicates:- Symmetrical roots
- Imaginary axis roots
š¹ 8. Gain K Stability Range
Given:
s³ + 3s² + 2s + K = 0
Form Routh array:s³ | 1 2 s² | 3 K s¹ | (3×2 − 1×K)/3 = (6 − K)/3 s⁰ | K
For stability:- All first column elements > 0
- K > 0
- 6 − K > 0 → K < 6
0 < K < 6
šÆ GATE Important Points
- Sign change count directly gives RHP roots
- Gain range questions very common
- Zero row case very important
- Always check coefficient positivity first
Routh = Fastest Way to Check Stability
š Routh-Hurwitz – Advanced Worked Examples (Deep Stability Practice)
These examples include higher order systems and special cases. Follow the first-column sign changes carefully.
š¹ Example 1 – 4th Order Polynomial
Given:
s⁴ + 2s³ + 3s² + 4s + 5 = 0
Step 1: Form Routh Table
s⁴ | 1 3 5 s³ | 2 4 0 s² | (2×3 − 1×4)/2 = 1 (2×5 − 1×0)/2 = 5 s¹ | (1×4 − 2×5)/1 = -6 s⁰ | 5
Step 2: First Column
1 2 1 -6 5 Sign changes: + to - (1 change) - to + (1 change) Total 2 sign changes → 2 RHP roots → Unstable system.š¹ Example 2 – Zero in First Column
Given:
s³ + 4s² + 5s + 0 = 0
Step 1: Routh Table
s³ | 1 5 s² | 4 0 s¹ | (4×5 − 1×0)/4 = 5 s⁰ | 0
Last element zero indicates root at origin. System is marginally stable.š¹ Example 3 – Entire Row Zero Case
Given:
s⁴ + 2s³ + 3s² + 2s + 1 = 0
Step 1: Routh Table
s⁴ | 1 3 1 s³ | 2 2 0 s² | (2×3 − 1×2)/2 = 2 (2×1 − 1×0)/2 = 1 s¹ | 0 0
Entire row zero.Step 2: Auxiliary Polynomial
From row above (s² row):A(s) = 2s² + 1
Differentiate:dA/ds = 4s
Replace zero row with coefficients of derivative. System has imaginary axis roots → Marginal stability.š¹ Example 4 – Gain Range (4th Order)
Given:
s⁴ + 5s³ + 8s² + 4s + K = 0
Step 1: Routh Table
s⁴ | 1 8 K s³ | 5 4 0 s² | (5×8 − 1×4)/5 = 36/5 (5K − 1×0)/5 = K s¹ | [(36/5×4 − 5K)/ (36/5)] s⁰ | K
For stability: All first column > 0 Conditions:- K > 0
- 36/5 > 0 (already positive)
- 36/5×4 − 5K > 0
K < 144/25
Final range:0 < K < 5.76
š¹ Example 5 – Number of RHP Roots
Given:
s⁴ + 3s³ + 2s² − s − 1 = 0
After Routh calculation: First column: 1 3 5/3 -2 -1 Sign change: + to - (1 change) Thus: 1 RHP root → Unstable system.šÆ Final Advanced Stability Tips
- Count sign changes carefully
- Zero in first column → use ε
- Entire row zero → auxiliary polynomial
- Gain range questions very common in GATE
Routh-Hurwitz = Fast Stability Decision Tool
š Routh-Hurwitz – Advanced Worked Examples (Deep Stability Practice)
These examples include higher order systems and special cases. Follow the first-column sign changes carefully.
š¹ Example 1 – 4th Order Polynomial
Given:
s⁴ + 2s³ + 3s² + 4s + 5 = 0
Step 1: Form Routh Table
s⁴ | 1 3 5 s³ | 2 4 0 s² | (2×3 − 1×4)/2 = 1 (2×5 − 1×0)/2 = 5 s¹ | (1×4 − 2×5)/1 = -6 s⁰ | 5
Step 2: First Column
1 2 1 -6 5 Sign changes: + to - (1 change) - to + (1 change) Total 2 sign changes → 2 RHP roots → Unstable system.š¹ Example 2 – Zero in First Column
Given:
s³ + 4s² + 5s + 0 = 0
Step 1: Routh Table
s³ | 1 5 s² | 4 0 s¹ | (4×5 − 1×0)/4 = 5 s⁰ | 0
Last element zero indicates root at origin. System is marginally stable.š¹ Example 3 – Entire Row Zero Case
Given:
s⁴ + 2s³ + 3s² + 2s + 1 = 0
Step 1: Routh Table
s⁴ | 1 3 1 s³ | 2 2 0 s² | (2×3 − 1×2)/2 = 2 (2×1 − 1×0)/2 = 1 s¹ | 0 0
Entire row zero.Step 2: Auxiliary Polynomial
From row above (s² row):A(s) = 2s² + 1
Differentiate:dA/ds = 4s
Replace zero row with coefficients of derivative. System has imaginary axis roots → Marginal stability.š¹ Example 4 – Gain Range (4th Order)
Given:
s⁴ + 5s³ + 8s² + 4s + K = 0
Step 1: Routh Table
s⁴ | 1 8 K s³ | 5 4 0 s² | (5×8 − 1×4)/5 = 36/5 (5K − 1×0)/5 = K s¹ | [(36/5×4 − 5K)/ (36/5)] s⁰ | K
For stability: All first column > 0 Conditions:- K > 0
- 36/5 > 0 (already positive)
- 36/5×4 − 5K > 0
K < 144/25
Final range:0 < K < 5.76
š¹ Example 5 – Number of RHP Roots
Given:
s⁴ + 3s³ + 2s² − s − 1 = 0
After Routh calculation: First column: 1 3 5/3 -2 -1 Sign change: + to - (1 change) Thus: 1 RHP root → Unstable system.šÆ Final Advanced Stability Tips
- Count sign changes carefully
- Zero in first column → use ε
- Entire row zero → auxiliary polynomial
- Gain range questions very common in GATE
Routh-Hurwitz = Fast Stability Decision Tool
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