---
title: "State model from 20(4s+2)/(s³+5s²+8s+2)"
subject: "Control Systems"
chapter: 8
key: "semester_3/control_systems:ss-from-tf-20-4s2"
source: https://www.bctengineer.com/q/semester_3/control_systems/ss-from-tf-20-4s2
site: BCT Engineering
---

# State model from 20(4s+2)/(s³+5s²+8s+2)

Control Systems · Chapter 8: State Space Analysis

- Asked in: 2075 Asoj, 8 marks; 2079 Bhadra, 8 marks (asked 2 times)
- Answer checked by Claude Opus 5.5 (high effort) on 2026-10-14
- Page: https://www.bctengineer.com/q/semester_3/control_systems/ss-from-tf-20-4s2
- Whole chapter: https://www.bctengineer.com/md/semester_3/control_systems/chapter-8

## Question

A system is characterized by the equation Y(s)/U(s) = 20(4s+2)/(s³ + 5s² + 8s + 2). Find its state and output equation and express in matrix form. Then using your matrix, how do you get characteristic equation?

## Short answer

Using phase-variable form: A = [0 1 0; 0 0 1; -2 -8 -5], B = [0; 0; 1], C = [40 80 0]. Characteristic equation is |sI-A| = s^3+5s^2+8s+2 = 0.

## Answer

$$
\frac{Y(s)}{U(s)} = \frac{20(4s+2)}{s^3+5s^2+8s+2} = \frac{80s + 40}{s^3 + 5s^2 + 8s + 2}
$$

Since the numerator has $s$ terms, use the **phase-variable (controllable canonical) form** with an intermediate variable $X(s)$.

#### Step 1: Split the transfer function

$$
\frac{Y(s)}{U(s)} = \frac{X(s)}{U(s)}\cdot\frac{Y(s)}{X(s)},\qquad \frac{X(s)}{U(s)} = \frac{1}{s^3+5s^2+8s+2},\qquad \frac{Y(s)}{X(s)} = 80s + 40
$$

So $\dddot{x} + 5\ddot{x} + 8\dot{x} + 2x = u$ and $y = 80\dot{x} + 40x$.

#### Step 2: Choose state variables
$x_1 = x$, $x_2 = \dot{x}$, $x_3 = \ddot{x}$:

$$
\begin{aligned}
\dot{x}_1 &= x_2 \\
\dot{x}_2 &= x_3 \\
\dot{x}_3 &= -2x_1 - 8x_2 - 5x_3 + u \\
y &= 40x_1 + 80x_2
\end{aligned}
$$

#### Step 3: Matrix form

$$
\begin{bmatrix} \dot{x}_1 \\ \dot{x}_2 \\ \dot{x}_3 \end{bmatrix} = \begin{bmatrix} 0 & 1 & 0 \\ 0 & 0 & 1 \\ -2 & -8 & -5 \end{bmatrix}\begin{bmatrix} x_1 \\ x_2 \\ x_3 \end{bmatrix} + \begin{bmatrix} 0 \\ 0 \\ 1 \end{bmatrix}u
$$

$$
y = \begin{bmatrix} 40 & 80 & 0 \end{bmatrix}\begin{bmatrix} x_1 \\ x_2 \\ x_3 \end{bmatrix}
$$

#### Step 4: Characteristic equation from the matrix
The characteristic equation is $|sI - A| = 0$:

$$
sI - A = \begin{bmatrix} s & -1 & 0 \\ 0 & s & -1 \\ 2 & 8 & s+5 \end{bmatrix}
$$

$$
\begin{aligned}
|sI-A| &= s\left[s(s+5) + 8\right] + 1\left[0 + 2\right] \\
&= s^3 + 5s^2 + 8s + 2 = 0
\end{aligned}
$$

This equals the denominator of the transfer function, as it must. Its roots (eigenvalues of $A$) are $s = -0.304$ and $-2.348 \pm j1.029$, all in the left half-plane, so the system is stable.

**Answer:** $A = \begin{bmatrix} 0&1&0\\0&0&1\\-2&-8&-5 \end{bmatrix}$, $B = \begin{bmatrix}0\\0\\1\end{bmatrix}$, $C = \begin{bmatrix}40&80&0\end{bmatrix}$; characteristic equation $s^3 + 5s^2 + 8s + 2 = 0$.

## Check yourself

The answer's key points as multiple-choice questions, with the correct option and why.

1. The numerator has s terms. How is the realisation obtained?
   A. Set all numerator terms to zero
   B. Split into X/U = 1/denominator and Y/X = numerator, using phase variables
   C. Use only the denominator and ignore the numerator
   D. Differentiate the output twice
   Answer: B. An intermediate variable X(s) makes the denominator define the states and the numerator define the output. (Key point: Why phase-variable form)

2. Which last row does A have for the denominator s^3 + 5s^2 + 8s + 2?
   A. [-5 -8 -2]
   B. [2 8 5]
   C. [-2 -8 -5]
   D. [-1 -5 -8]
   Answer: C. The last row is the negative coefficients in ascending order: -a0, -a1, -a2 = -2, -8, -5. (Key point: A matrix)

3. The numerator is 80s + 40. What is C?
   A. [80 40 0]
   B. [0 40 80]
   C. [20 4 0]
   D. [40 80 0]
   Answer: D. y = 40x + 80x' = 40x1 + 80x2, so C = [40 80 0]. (Key point: Output matrix)

4. How is the characteristic equation obtained from the model?
   A. Expand |sI - A| = 0, which gives s^3 + 5s^2 + 8s + 2 = 0
   B. Expand |A| = 0
   C. Expand |B C| = 0
   D. Set the numerator 80s + 40 = 0
   Answer: A. |sI - A| = 0 reproduces the denominator of the transfer function. (Key point: Characteristic equation from matrices)

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