Line 79: Line 79:
 
\end{bmatrix}
 
\end{bmatrix}
 
\qquad rank<3 \qquad must\;contain\;\lambda=-1
 
\qquad rank<3 \qquad must\;contain\;\lambda=-1
  \qquad so\qquad No.\\</math>
+
  \qquad \therefore\; No.</math>
 +
 
 
<math>\mathbf{f)} \quad \begin{bmatrix}
 
<math>\mathbf{f)} \quad \begin{bmatrix}
 
\lambda I-A \\
 
\lambda I-A \\
Line 114: Line 115:
 
0 & 0 & 0 \\
 
0 & 0 & 0 \\
 
0 & 1 & 1
 
0 & 1 & 1
\end{bmatrix} \quad rank<3 \quad must\;have\;\lambda_3=-1\\</math>
+
\end{bmatrix} \quad rank<3 \quad must\;have\;\lambda_3=-1</math>
 +
 
 +
<math>\because \;eigenvalues \left\{1,-1,2 \right\}\quad \therefore\;Yes.</math>
 +
 
 +
<math>A-LC=<math>\begin{bmatrix}
 +
1 & 1-L_1 & 1-L_1 \\
 +
0 & -L_2 & 1-L_2 \\
 +
0 & -L_3 & -1-L_3
 +
\end{bmatrix}\quad LC=\begin{bmatrix}
 +
0 & L_1 & L_1 \\
 +
0 & L_2 & L_2 \\
 +
0 & L_3 & L_3
 +
\end{bmatrix}</math>
 +
 
 +
<math>\lambda I-\left(A-LC \right)=\begin{bmatrix}
 +
\lambda-1 & L_1-1 & L_1-1 \\
 +
0 & \lambda+L_2 & L_2-1 \\
 +
0 & L_3 & \lambda+1+L_3
 +
\end{bmatrix}</math>
 +
 
 +
For conditions <math>\quad\lambda_1=1,\quad\lambda_2=-1,\quad\lambda_3=-2</math>
 +
 
 +
<math>\begin{cases}
 +
3L_2 + 6L_3 = 9 \\
 +
L_2 + 2L_3 = 3 \\
 +
L_2=1 \\
 +
L_3=1
 +
\end{cases} \quad L=\begin{bmatrix}
 +
2  \\
 +
1  \\
 +
1
 +
\end{bmatrix}</math>
 +
 
 +
<math>\mathbf{g)} \quad \because\;\lambda_1=1,\quad Not\;stable.</math>
 +
 
 +
<math>\mathbf{h)} \quad AU_1=\lambda_1 U_1 \quad AU_2=\lambda_2 U_2 \quad AU_3= \lambda_3 U_3\\</math>
 +
 
 +
<math>\begin{alignat}{2}
 +
y & = C X_(t) =C[U_1 e^t (\omega_1^T X_{(0)})+U_2 e^0 (\omega_2^T X_{(0)})+U_3 e^{-t} (\omega_3^T X_{(0)})]\\
 +
& = -\omega_2^T \omega_{(0)}\\
 +
\end{alignat}</math>
 +
 
 +
<math>\therefore\;bounded</math>
 +
 
 +
<math>:)\;\because \; \frac{1}{s}\; has\; pole=0 \quad\therefore\;Not \; BIBO \;Stable.</math>
 +
 
 +
P2.
 +
 
 +
<math>\mathbf{(a)} \quad A=\frac{1}{2}\begin{bmatrix}
 +
1 & -1  \\
 +
-1 & -1
 +
\end{bmatrix},\quad \lambda=0  </math>
 +
 
 +
<math>\begin{alignat}{1}
 +
(0)^k & =\beta_0 ,\; k  \to \infty \quad \beta_0=0\;\\
 +
\end{alignat}</math>

Revision as of 23:41, 16 May 2017

AC-2 P1.

$ \mathbf{a)} \quad C=\begin{bmatrix} B & AB & A^2B \end{bmatrix}=\begin{bmatrix} 1 & 2 & 2 \\ 1 & 0 & 0 \\ 0 & 0 & 0 \end{bmatrix} $ $ \quad rank=2\ne \mbox 3 $

$ \quad Not\quad controllable $

$ \mathbf{b)} \quad Subspace\quad is \begin{Bmatrix} \begin{bmatrix} 1 \\ 1 \\ 0 \end{bmatrix} ,& \begin{bmatrix} 2 \\ 0 \\ 0 \end{bmatrix} \end{Bmatrix}. $

$ \mathbf{c)} \quad 0=\begin{bmatrix} 0 & 1 & 1 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \\ 0 & 0 & 0 \end{bmatrix} \quad Not \quad observable $


$ \mathbf{d)} \quad X_1=r,X_2=-s,X_3=s \quad X=r\begin{bmatrix} 1 \\ 0 \\ 0 \end{bmatrix}+s\begin{bmatrix} 0 \\ -1 \\ 1 \end{bmatrix}\\ $ $ Subspace\quad is \begin{Bmatrix} \begin{bmatrix} 1 \\ 0 \\ 0 \end{bmatrix} ,& \begin{bmatrix} 0 \\ -1 \\ 1 \end{bmatrix} \end{Bmatrix}.\\ $ $ \mathbf{e)} \quad \lambda I-A=\begin{bmatrix} \lambda-1 & -1 & -1 \\ 0 & \lambda & -1 \\ 0 & 0 & \lambda+1 \end{bmatrix}\quad \lambda_1=1,\lambda_2=0,\lambda_3=-1\\ $ $ \qquad for \;\lambda_1=1 \qquad\begin{bmatrix} \lambda I-A & B \end{bmatrix}=\begin{bmatrix} 0 & -1 & -1 & 1 \\ 0 & 1 & -1 & 1 \\ 0 & 0 & 2 & 0 \end{bmatrix}\\ $ $ \qquad for \;\lambda_2=0 \qquad\begin{bmatrix} \lambda I-A & B \end{bmatrix}=\begin{bmatrix} -1 & -1 & -1 & 1 \\ 0 & 0 & -1 & 1 \\ 0 & 0 & 1 & 0 \end{bmatrix}\\ $ $ \qquad for \;\lambda_3=-1 \qquad\begin{bmatrix} \lambda I-A & B \end{bmatrix}=\begin{bmatrix} -2 & -1 & -1 & 1 \\ 0 & -1 & -1 & 1 \\ 0 & 0 & 0 & 0 \end{bmatrix} \qquad rank<3 \qquad must\;contain\;\lambda=-1 \qquad \therefore\; No. $

$ \mathbf{f)} \quad \begin{bmatrix} \lambda I-A \\ C \end{bmatrix}=\begin{bmatrix} \lambda-1 & -1 & -1 \\ 0 & \lambda & -1 \\ 0 & 0 & \lambda+1 \\ 0 & 1 & 1 \end{bmatrix} $

$ for\; \lambda_1=1 \quad \begin{bmatrix} \lambda I-A \\ C \end{bmatrix}=\begin{bmatrix} 0 & -1 & -1 \\ 0 & 1 & -1 \\ 0 & 0 & 2 \\ 0 & 1 & 1 \end{bmatrix} \quad rank<3 \quad must\;have\;\lambda_1=1 $

$ for\; \lambda_2=0 \quad \begin{bmatrix} \lambda I-A \\ C \end{bmatrix}=\begin{bmatrix} -1 & -1 & -1 \\ 0 & 0 & -1 \\ 0 & 0 & 1 \\ 0 & 1 & 1 \end{bmatrix}\\ $

$ for \lambda-3=-1\quad \begin{bmatrix} \lambda I-A \\ C \end{bmatrix}=\begin{bmatrix} -2 & -1 & -1 \\ 0 & -1 & -1 \\ 0 & 0 & 0 \\ 0 & 1 & 1 \end{bmatrix} \quad rank<3 \quad must\;have\;\lambda_3=-1 $

$ \because \;eigenvalues \left\{1,-1,2 \right\}\quad \therefore\;Yes. $

$ A-LC=<math>\begin{bmatrix} 1 & 1-L_1 & 1-L_1 \\ 0 & -L_2 & 1-L_2 \\ 0 & -L_3 & -1-L_3 \end{bmatrix}\quad LC=\begin{bmatrix} 0 & L_1 & L_1 \\ 0 & L_2 & L_2 \\ 0 & L_3 & L_3 \end{bmatrix} $

$ \lambda I-\left(A-LC \right)=\begin{bmatrix} \lambda-1 & L_1-1 & L_1-1 \\ 0 & \lambda+L_2 & L_2-1 \\ 0 & L_3 & \lambda+1+L_3 \end{bmatrix} $

For conditions $ \quad\lambda_1=1,\quad\lambda_2=-1,\quad\lambda_3=-2 $

$ \begin{cases} 3L_2 + 6L_3 = 9 \\ L_2 + 2L_3 = 3 \\ L_2=1 \\ L_3=1 \end{cases} \quad L=\begin{bmatrix} 2 \\ 1 \\ 1 \end{bmatrix} $

$ \mathbf{g)} \quad \because\;\lambda_1=1,\quad Not\;stable. $

$ \mathbf{h)} \quad AU_1=\lambda_1 U_1 \quad AU_2=\lambda_2 U_2 \quad AU_3= \lambda_3 U_3\\ $

$ \begin{alignat}{2} y & = C X_(t) =C[U_1 e^t (\omega_1^T X_{(0)})+U_2 e^0 (\omega_2^T X_{(0)})+U_3 e^{-t} (\omega_3^T X_{(0)})]\\ & = -\omega_2^T \omega_{(0)}\\ \end{alignat} $

$ \therefore\;bounded $

$ :)\;\because \; \frac{1}{s}\; has\; pole=0 \quad\therefore\;Not \; BIBO \;Stable. $

P2.

$ \mathbf{(a)} \quad A=\frac{1}{2}\begin{bmatrix} 1 & -1 \\ -1 & -1 \end{bmatrix},\quad \lambda=0 $

$ \begin{alignat}{1} (0)^k & =\beta_0 ,\; k \to \infty \quad \beta_0=0\;\\ \end{alignat} $

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BSEE 2004, current Ph.D. student researching signal and image processing.

Landis Huffman