(Created page with "2016 AC-2 P1. (a) <math> X=\begin{bmatrix} x_1 \\ x_2 \end{bmatrix}=\begin{bmatrix} y \\ \dot{y} \end{bmatrix}</math> <math>\begin{cases} \dot{x}=\begin{bmatrix} \do...") |
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<math>y[k]=\begin{bmatrix} | <math>y[k]=\begin{bmatrix} | ||
+ | -1 & 1 | ||
+ | \end{bmatrix}x[k]</math> | ||
+ | |||
+ | let <math>x_[k]=\begin{bmatrix} | ||
+ | a\\ | ||
+ | b | ||
+ | \end{bmatrix} \quad y[0]=\begin{bmatrix} | ||
+ | -1 & 1 | ||
+ | \end{bmatrix}\begin{bmatrix} | ||
+ | a\\ | ||
+ | b | ||
+ | \end{bmatrix}=1</math> | ||
+ | |||
+ | <math> -a+b=1</math> | ||
+ | |||
+ | <math>y[1]=\begin{bmatrix} | ||
-1 & 1 | -1 & 1 | ||
\end{bmatrix}x[1]=\begin{bmatrix} | \end{bmatrix}x[1]=\begin{bmatrix} | ||
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-1 & 2 | -1 & 2 | ||
\end{bmatrix}x[0]=0</math> | \end{bmatrix}x[0]=0</math> | ||
+ | |||
+ | <math>x[1]=Ax[0]</math> | ||
+ | |||
+ | <math>3a+2b=0</math> | ||
+ | |||
+ | <math>\therefore a=-\frac{2}{5} \quad b=\frac{3}{5}</math> | ||
+ | |||
+ | <math>x[0]=\begin{bmatrix} | ||
+ | -\frac{2}{5}\\ | ||
+ | \frac{3}{5} | ||
+ | \end{bmatrix}</math> | ||
+ | |||
+ | ii)<math>x[0]=\begin{bmatrix} | ||
+ | a\\ | ||
+ | b | ||
+ | \end{bmatrix} \quad x[2]=Ax[1]=A^2x[0]</math> | ||
+ | |||
+ | <math>A^2=0 \quad x[2]=0</math> | ||
+ | |||
+ | <math>y[2]=[-1 \quad 1]\quad x[2]=0 \quad y[1]=[-1 \quad 1] \quad x[1]=1</math> | ||
+ | |||
+ | <math>[-1\quad 1]\quad \begin{bmatrix} | ||
+ | 2 &4\\ | ||
+ | -1&2 | ||
+ | \end{bmatrix}\quad\begin{bmatrix} | ||
+ | a\\ | ||
+ | b | ||
+ | \end{bmatrix}=1</math> | ||
+ | |||
+ | we only have -3a-2b=1,so we can't uniquely determine a,b. | ||
+ | |||
+ | P3 (a)<math>\lambda I-A=\begin{bmatrix} | ||
+ | \lambda+2&-4\\ | ||
+ | 1&\lambda-2 | ||
+ | \end{bmatrix}</math> | ||
+ | |||
+ | <math>\lambda_1=\lambda_2=0</math> | ||
+ | |||
+ | <math>\begin{bmatrix} | ||
+ | -2-\lambda_1 & 4\\ | ||
+ | -1 & 2-\lambda_1 | ||
+ | \end{bmatrix}\begin{bmatrix} | ||
+ | u_1 \\ | ||
+ | u_2 | ||
+ | \end{bmatrix}=\begin{bmatrix} | ||
+ | 0\\ | ||
+ | 0 | ||
+ | \end{bmatrix}</math> | ||
+ | |||
+ | <math>\begin{cases} | ||
+ | -2u_1-\lambda_1u_1+4u_2=0\\ | ||
+ | -u_1+2u_2-\lambda_1u_2=0 | ||
+ | \end{cases}</math> | ||
+ | |||
+ | <math>u_1=2u_2</math> | ||
+ | |||
+ | <math> \therefore eigenvector \begin{bmatrix} | ||
+ | u_1\\ | ||
+ | u_2 | ||
+ | \end{bmatrix}=\begin{bmatrix} | ||
+ | 2\\ | ||
+ | 1 | ||
+ | \end{bmatrix}</math> | ||
+ | |||
+ | <math>J=MAM^{-1}</math> | ||
+ | |||
+ | (b)<math>e^{At}=L^{-1}\begin{bmatrix} | ||
+ | (SI-A)^{-1} | ||
+ | \end{bmatrix}=L^{-1}\begin{bmatrix} | ||
+ | \frac{s-2}{s^2} & \frac{4}{s^2} \\ | ||
+ | \frac{-1}{s^2} & \frac{s+2}{s^2} | ||
+ | \end{bmatrix}</math> | ||
+ | |||
+ | <math>L^{-1}\begin{bmatrix} | ||
+ | \frac{s-2}{s^2} | ||
+ | \end{bmatrix}= L^{-1}\begin{bmatrix} | ||
+ | \frac{1}{s}-\frac{2}{s^2} | ||
+ | \end{bmatrix}=1-2t</math> | ||
+ | |||
+ | <math>L^{-1}\begin{bmatrix} | ||
+ | \frac{4}{s^2} | ||
+ | \end{bmatrix}=4t</math> | ||
+ | |||
+ | <math>L^{-1}\begin{bmatrix} | ||
+ | \frac{-1}{s^2} | ||
+ | \end{bmatrix}=-t</math> | ||
+ | |||
+ | <math>L^{-1}\begin{bmatrix} | ||
+ | \frac{s+2}{s^2} | ||
+ | \end{bmatrix}=L^{-1}\begin{bmatrix} | ||
+ | \frac{1}{s}+\frac{2}{s^2} | ||
+ | \end{bmatrix}=1+2t</math> | ||
+ | |||
+ | <math>e^{At}=\begin{bmatrix} | ||
+ | 1-2t & 4t\\ | ||
+ | -t & 1+2t | ||
+ | \end{bmatrix}</math> | ||
+ | |||
+ | (c)T(s)=<math>C(SI-A)^{-1}B</math> | ||
+ | |||
+ | =<math>[-1 \quad 1] \quad | ||
+ | \begin{bmatrix} | ||
+ | \frac{s-2}{s^2} & \frac{4}{s^2} \\ | ||
+ | \frac{-1}{s^2} & \frac{s+2}{s^2} | ||
+ | \end{bmatrix} \quad | ||
+ | \begin{bmatrix} | ||
+ | 2\\ | ||
+ | 1 | ||
+ | \end{bmatrix}</math> | ||
+ | |||
+ | <math> =\frac{\begin{bmatrix} | ||
+ | -1 & 1 | ||
+ | \end{bmatrix}}{s^2}\begin{bmatrix} | ||
+ | 2s-4+4 \\ | ||
+ | -2+s+2 | ||
+ | \end{bmatrix}</math> | ||
+ | |||
+ | <math> T(s)=\begin{bmatrix} | ||
+ | -1 & 1 | ||
+ | \end{bmatrix}\begin{bmatrix} | ||
+ | \frac{2}{s} \\ | ||
+ | \frac{1}{s} | ||
+ | \end{bmatrix}=\frac{-2}{s}+\frac{1}{s}</math> | ||
+ | |||
+ | <math>T(s)=\frac{-1}{s} </math> | ||
+ | |||
+ | pole is at s=0. | ||
+ | |||
+ | <math> \therefore marginally \; stable.</math> | ||
+ | |||
+ | (d) Given <math>\dot{x}=Ax+Bu</math> | ||
+ | |||
+ | <math>Ax=\begin{bmatrix} | ||
+ | -2 & u \\ | ||
+ | -1 & 2 | ||
+ | \end{bmatrix} x,\quad Bu=\begin{bmatrix} | ||
+ | 2 \\ | ||
+ | 1 | ||
+ | \end{bmatrix} u</math> | ||
+ | |||
+ | <math> C=\begin{bmatrix} | ||
+ | B & AB & A^2B | ||
+ | \end{bmatrix}=\begin{bmatrix} | ||
+ | 2 & 0 \\ | ||
+ | 1 & 0 | ||
+ | \end{bmatrix}</math> | ||
+ | |||
+ | <math> \therefore not \; controllable</math> | ||
+ | |||
+ | To make <math>x(1)=\begin{bmatrix} | ||
+ | -u & -2 | ||
+ | \end{bmatrix}</math> | ||
+ | |||
+ | corres ponding characteristic equation. | ||
+ | |||
+ | <math> (s+u)(s+2)=0</math> | ||
+ | |||
+ | <math> s^2+6s+8=0</math> | ||
+ | |||
+ | <math> u=-kx </math> | ||
+ | |||
+ | <math>\dot{x}=(A-Bk) x</math> | ||
+ | |||
+ | <math> \begin{vmatrix} | ||
+ | SI-(A-Bk) | ||
+ | \end{vmatrix}=0</math> | ||
+ | |||
+ | <math> A-BK=\begin{bmatrix} | ||
+ | -2 & 4\\ | ||
+ | -1 & 2 | ||
+ | \end{bmatrix}-\begin{bmatrix} | ||
+ | 2K_1 \\ | ||
+ | 1K_2 | ||
+ | \end{bmatrix}</math> | ||
+ | |||
+ | <math>\begin{vmatrix} | ||
+ | S+2+2k_1 & -4 \\ | ||
+ | 1+k_2 & S-2 | ||
+ | \end{vmatrix}=0 \qquad \begin{bmatrix} | ||
+ | A-Bk | ||
+ | \end{bmatrix}=\begin{bmatrix} | ||
+ | -2-2k_1 & 4 \\ | ||
+ | -1-k_2 & 2 | ||
+ | \end{bmatrix}</math> | ||
+ | |||
+ | <math> (S+2+2k_1)(S-2)+4(1+k_2)=0</math> | ||
+ | |||
+ | <math> 2k_1=6</math> | ||
+ | |||
+ | <math> k_1=3 </math> | ||
+ | |||
+ | <math> uk_2=20</math> | ||
+ | |||
+ | <math> k_2=5</math> | ||
+ | |||
+ | <math> \therefore </math> control <math> u_{(t)}=-\begin{bmatrix} | ||
+ | k_1 & k_2 | ||
+ | \end{bmatrix} x</math> | ||
+ | |||
+ | or <math> u_{(t)}=-\begin{bmatrix} | ||
+ | 3 & 5 | ||
+ | \end{bmatrix} x</math> | ||
+ | |||
+ | our goal is to have <math>x_{(1)}= -\begin{bmatrix} | ||
+ | 1 & 2 | ||
+ | \end{bmatrix}</math> | ||
+ | |||
+ | <math>(s-1)(s+2)=0</math> | ||
+ | |||
+ | <math>2k_1=-3</math> | ||
+ | |||
+ | <math>k_1=-\frac{3}{2}</math> | ||
+ | |||
+ | <math>uk_2=-4</math> | ||
+ | |||
+ | <math>2k_1=-3</math> | ||
+ | |||
+ | <math>k_2=-1</math> | ||
+ | |||
+ | <math>\therefore u_{(t)}=-\begin{bmatrix} | ||
+ | k_1 & k_2 | ||
+ | \end{bmatrix} x =\begin{bmatrix} | ||
+ | -\frac{3}{2} & -1 | ||
+ | \end{bmatrix} x </math> | ||
+ | |||
+ | e) consider <math>\dot{x}=A_{C1}X</math> | ||
+ | |||
+ | <math> A_{C1}=A-Bk</math> | ||
+ | |||
+ | <math> s^2+2k_1s-uk_1+uk_2=0</math> | ||
+ | |||
+ | <math> 1+ \frac{C_t(s)}{t(s)}=0</math> | ||
+ | |||
+ | <math> \frac{C_t(s)}{t(s)}=s^2+2k_1s-uk_1+uk_2-1</math> | ||
+ | |||
+ | <math> \lim_{s \to 0} s\frac{C_t(s)}{t(s)}=\lim_{s \to 0} s(s^2+2k_1s-uk_1+uk_2-1)</math> | ||
+ | |||
+ | Final value is zero and no such controller is possible to design. | ||
+ | |||
+ | But for Bounded time period,it is possible to have solution of x(t). As we have already seen in previous problem. | ||
+ | |||
+ | <math> \alpha_1+\alpha_2=2k_1, \quad \alpha_1\alpha_2=-uk_1+uk_2.</math> | ||
+ | |||
+ | <math> (s+\alpha_1)(s+\alpha_2)=0</math> | ||
+ | |||
+ | <math>\begin{cases} | ||
+ | \alpha^2+(\alpha_1+\alpha_2)s+\alpha_1\alpha_2=0 \\ | ||
+ | s^2+2k_1s-uk_1+uk_2=0 | ||
+ | \end{cases}</math> | ||
+ | |||
+ | (f) <math>\dot{x}=\begin{bmatrix} | ||
+ | -2 & 4 \\ | ||
+ | -1 & 2 | ||
+ | \end{bmatrix} x+\begin{bmatrix} | ||
+ | 2 \\ | ||
+ | 1 | ||
+ | \end{bmatrix} u</math> | ||
+ | |||
+ | <math>y=\begin{bmatrix} | ||
+ | -1 & 1 | ||
+ | \end{bmatrix} x \quad D=[0]</math> | ||
+ | |||
+ | <math>N=\begin{bmatrix} | ||
+ | C \\ | ||
+ | CA | ||
+ | \end{bmatrix}=\begin{bmatrix} | ||
+ | -1 & 1 \\ | ||
+ | 1 & -2 | ||
+ | \end{bmatrix}</math> | ||
+ | |||
+ | The system is observable. | ||
+ | |||
+ | (g) <math>\frac{Y(S)}{U(S)}=C[SI-A]^{-1}B+D</math> | ||
+ | |||
+ | <math>SI-A=\begin{bmatrix} | ||
+ | S & 0 \\ | ||
+ | 0 & S | ||
+ | \end{bmatrix}-\begin{bmatrix} | ||
+ | -2 & 4 \\ | ||
+ | -1 & 2 | ||
+ | \end{bmatrix}</math> | ||
+ | |||
+ | <math> [SI-A]^{-1}=\frac{1}{S^2-4+4}\begin{bmatrix} | ||
+ | S-2 & 4 \\ | ||
+ | -1 & S+2 | ||
+ | \end{bmatrix}</math> | ||
+ | |||
+ | <math> \frac{Y(s)}{u(s)}==\begin{bmatrix} | ||
+ | -1 & 1 | ||
+ | \end{bmatrix}\begin{bmatrix} | ||
+ | \frac{s-2}{s^2} & \frac{4}{s^2} \\ | ||
+ | \frac{-1}{s^2} & \frac{s+2}{s^2} | ||
+ | \end{bmatrix}\begin{bmatrix} | ||
+ | 2 \\ | ||
+ | 1 | ||
+ | \end{bmatrix} </math> | ||
+ | |||
+ | <math> H (s)= \frac{-1}{s} </math> marginally stable ,not BIBO. | ||
+ | |||
+ | (h) Cant not resolve. |
Latest revision as of 04:45, 22 May 2017
2016 AC-2 P1. (a) $ X=\begin{bmatrix} x_1 \\ x_2 \end{bmatrix}=\begin{bmatrix} y \\ \dot{y} \end{bmatrix} $
$ \begin{cases} \dot{x}=\begin{bmatrix} \dot{x_1} \\ \dot{x_2} \end{bmatrix}=\begin{bmatrix} x_2 \\ -2x_1 x_2-u x_1+2u \end{bmatrix}\\ y=x_1 \end{cases} $
(b) $ u \equiv 2 $
$ \dot{x} =\begin{bmatrix} x_2 \\ -2x_1 x_2-2x_1+4 \end{bmatrix}=\begin{bmatrix} x_2 \\ -2x_1 (x_2+1)+4 \end{bmatrix} $
let $ \begin{cases} -2x_1 (x_2+1)+4=0 \\ x_2=0 \end{cases} \Rightarrow \begin{cases} -2x_1 +4=0 \\ x_2=0 \end{cases} \Rightarrow \begin{cases} x_1=2 \\ x_2=0 \end{cases} $
$ \therefore The \; equilibrum\; point\; is \;x_e=\begin{bmatrix} 2 \\ 0 \end{bmatrix} $
(c) $ u \equiv 2 \quad x_e=\begin{bmatrix} 2 \\ 0 \end{bmatrix}, \quad let \;x=f(x) $
The Jacobin of $ \dot{x} $ is: $ \begin{align} Df(x)= \begin{bmatrix} 0 & 1 \\ -2x_1-2 & -2x_1 \end{bmatrix} \end{align} $
The linear dynamics around $ x_e $ is $ \frac{d}{dt}f(x)=\begin{bmatrix} 0 & 1 \\ -2 & -4 \end{bmatrix} f(x) $
which is stable, locally stable at $ x_e $.
P2. i) $ x[k+1]=A x[k] $
$ y[k]=\begin{bmatrix} -1 & 1 \end{bmatrix}x[k] $
let $ x_[k]=\begin{bmatrix} a\\ b \end{bmatrix} \quad y[0]=\begin{bmatrix} -1 & 1 \end{bmatrix}\begin{bmatrix} a\\ b \end{bmatrix}=1 $
$ -a+b=1 $
$ y[1]=\begin{bmatrix} -1 & 1 \end{bmatrix}x[1]=\begin{bmatrix} -1 & 1 \end{bmatrix}\begin{bmatrix} -2 & 4 \\ -1 & 2 \end{bmatrix}x[0]=0 $
$ x[1]=Ax[0] $
$ 3a+2b=0 $
$ \therefore a=-\frac{2}{5} \quad b=\frac{3}{5} $
$ x[0]=\begin{bmatrix} -\frac{2}{5}\\ \frac{3}{5} \end{bmatrix} $
ii)$ x[0]=\begin{bmatrix} a\\ b \end{bmatrix} \quad x[2]=Ax[1]=A^2x[0] $
$ A^2=0 \quad x[2]=0 $
$ y[2]=[-1 \quad 1]\quad x[2]=0 \quad y[1]=[-1 \quad 1] \quad x[1]=1 $
$ [-1\quad 1]\quad \begin{bmatrix} 2 &4\\ -1&2 \end{bmatrix}\quad\begin{bmatrix} a\\ b \end{bmatrix}=1 $
we only have -3a-2b=1,so we can't uniquely determine a,b.
P3 (a)$ \lambda I-A=\begin{bmatrix} \lambda+2&-4\\ 1&\lambda-2 \end{bmatrix} $
$ \lambda_1=\lambda_2=0 $
$ \begin{bmatrix} -2-\lambda_1 & 4\\ -1 & 2-\lambda_1 \end{bmatrix}\begin{bmatrix} u_1 \\ u_2 \end{bmatrix}=\begin{bmatrix} 0\\ 0 \end{bmatrix} $
$ \begin{cases} -2u_1-\lambda_1u_1+4u_2=0\\ -u_1+2u_2-\lambda_1u_2=0 \end{cases} $
$ u_1=2u_2 $
$ \therefore eigenvector \begin{bmatrix} u_1\\ u_2 \end{bmatrix}=\begin{bmatrix} 2\\ 1 \end{bmatrix} $
$ J=MAM^{-1} $
(b)$ e^{At}=L^{-1}\begin{bmatrix} (SI-A)^{-1} \end{bmatrix}=L^{-1}\begin{bmatrix} \frac{s-2}{s^2} & \frac{4}{s^2} \\ \frac{-1}{s^2} & \frac{s+2}{s^2} \end{bmatrix} $
$ L^{-1}\begin{bmatrix} \frac{s-2}{s^2} \end{bmatrix}= L^{-1}\begin{bmatrix} \frac{1}{s}-\frac{2}{s^2} \end{bmatrix}=1-2t $
$ L^{-1}\begin{bmatrix} \frac{4}{s^2} \end{bmatrix}=4t $
$ L^{-1}\begin{bmatrix} \frac{-1}{s^2} \end{bmatrix}=-t $
$ L^{-1}\begin{bmatrix} \frac{s+2}{s^2} \end{bmatrix}=L^{-1}\begin{bmatrix} \frac{1}{s}+\frac{2}{s^2} \end{bmatrix}=1+2t $
$ e^{At}=\begin{bmatrix} 1-2t & 4t\\ -t & 1+2t \end{bmatrix} $
(c)T(s)=$ C(SI-A)^{-1}B $
=$ [-1 \quad 1] \quad \begin{bmatrix} \frac{s-2}{s^2} & \frac{4}{s^2} \\ \frac{-1}{s^2} & \frac{s+2}{s^2} \end{bmatrix} \quad \begin{bmatrix} 2\\ 1 \end{bmatrix} $
$ =\frac{\begin{bmatrix} -1 & 1 \end{bmatrix}}{s^2}\begin{bmatrix} 2s-4+4 \\ -2+s+2 \end{bmatrix} $
$ T(s)=\begin{bmatrix} -1 & 1 \end{bmatrix}\begin{bmatrix} \frac{2}{s} \\ \frac{1}{s} \end{bmatrix}=\frac{-2}{s}+\frac{1}{s} $
$ T(s)=\frac{-1}{s} $
pole is at s=0.
$ \therefore marginally \; stable. $
(d) Given $ \dot{x}=Ax+Bu $
$ Ax=\begin{bmatrix} -2 & u \\ -1 & 2 \end{bmatrix} x,\quad Bu=\begin{bmatrix} 2 \\ 1 \end{bmatrix} u $
$ C=\begin{bmatrix} B & AB & A^2B \end{bmatrix}=\begin{bmatrix} 2 & 0 \\ 1 & 0 \end{bmatrix} $
$ \therefore not \; controllable $
To make $ x(1)=\begin{bmatrix} -u & -2 \end{bmatrix} $
corres ponding characteristic equation.
$ (s+u)(s+2)=0 $
$ s^2+6s+8=0 $
$ u=-kx $
$ \dot{x}=(A-Bk) x $
$ \begin{vmatrix} SI-(A-Bk) \end{vmatrix}=0 $
$ A-BK=\begin{bmatrix} -2 & 4\\ -1 & 2 \end{bmatrix}-\begin{bmatrix} 2K_1 \\ 1K_2 \end{bmatrix} $
$ \begin{vmatrix} S+2+2k_1 & -4 \\ 1+k_2 & S-2 \end{vmatrix}=0 \qquad \begin{bmatrix} A-Bk \end{bmatrix}=\begin{bmatrix} -2-2k_1 & 4 \\ -1-k_2 & 2 \end{bmatrix} $
$ (S+2+2k_1)(S-2)+4(1+k_2)=0 $
$ 2k_1=6 $
$ k_1=3 $
$ uk_2=20 $
$ k_2=5 $
$ \therefore $ control $ u_{(t)}=-\begin{bmatrix} k_1 & k_2 \end{bmatrix} x $
or $ u_{(t)}=-\begin{bmatrix} 3 & 5 \end{bmatrix} x $
our goal is to have $ x_{(1)}= -\begin{bmatrix} 1 & 2 \end{bmatrix} $
$ (s-1)(s+2)=0 $
$ 2k_1=-3 $
$ k_1=-\frac{3}{2} $
$ uk_2=-4 $
$ 2k_1=-3 $
$ k_2=-1 $
$ \therefore u_{(t)}=-\begin{bmatrix} k_1 & k_2 \end{bmatrix} x =\begin{bmatrix} -\frac{3}{2} & -1 \end{bmatrix} x $
e) consider $ \dot{x}=A_{C1}X $
$ A_{C1}=A-Bk $
$ s^2+2k_1s-uk_1+uk_2=0 $
$ 1+ \frac{C_t(s)}{t(s)}=0 $
$ \frac{C_t(s)}{t(s)}=s^2+2k_1s-uk_1+uk_2-1 $
$ \lim_{s \to 0} s\frac{C_t(s)}{t(s)}=\lim_{s \to 0} s(s^2+2k_1s-uk_1+uk_2-1) $
Final value is zero and no such controller is possible to design.
But for Bounded time period,it is possible to have solution of x(t). As we have already seen in previous problem.
$ \alpha_1+\alpha_2=2k_1, \quad \alpha_1\alpha_2=-uk_1+uk_2. $
$ (s+\alpha_1)(s+\alpha_2)=0 $
$ \begin{cases} \alpha^2+(\alpha_1+\alpha_2)s+\alpha_1\alpha_2=0 \\ s^2+2k_1s-uk_1+uk_2=0 \end{cases} $
(f) $ \dot{x}=\begin{bmatrix} -2 & 4 \\ -1 & 2 \end{bmatrix} x+\begin{bmatrix} 2 \\ 1 \end{bmatrix} u $
$ y=\begin{bmatrix} -1 & 1 \end{bmatrix} x \quad D=[0] $
$ N=\begin{bmatrix} C \\ CA \end{bmatrix}=\begin{bmatrix} -1 & 1 \\ 1 & -2 \end{bmatrix} $
The system is observable.
(g) $ \frac{Y(S)}{U(S)}=C[SI-A]^{-1}B+D $
$ SI-A=\begin{bmatrix} S & 0 \\ 0 & S \end{bmatrix}-\begin{bmatrix} -2 & 4 \\ -1 & 2 \end{bmatrix} $
$ [SI-A]^{-1}=\frac{1}{S^2-4+4}\begin{bmatrix} S-2 & 4 \\ -1 & S+2 \end{bmatrix} $
$ \frac{Y(s)}{u(s)}==\begin{bmatrix} -1 & 1 \end{bmatrix}\begin{bmatrix} \frac{s-2}{s^2} & \frac{4}{s^2} \\ \frac{-1}{s^2} & \frac{s+2}{s^2} \end{bmatrix}\begin{bmatrix} 2 \\ 1 \end{bmatrix} $
$ H (s)= \frac{-1}{s} $ marginally stable ,not BIBO.
(h) Cant not resolve.