Aprendiendo Labiew

UNIVERSIDAD POLITÉCNICA DE VICTORIA |
INTELLIGENT CONTROL |

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Useful commands
Here are some useful commands and functions:
Command | Description |
eye (x), eye (x,y) | Identity matrixof order x |
ones (x), ones (x,y) | A matrix with only ones |
zeros (x), zeros (x,y) | A matrix with only zeros |
diag ([x y z]) | Diagonal matrix |
size (A) | Dimension of matrix A |
A’ |Inverse of matrix A |
mean(x) | Find the mean value of the vector x. |
min(x) | Find the minimum value of the vector x. |
max(x) | Find the maximum value of the vector x. |
det(A) | Find thedeterminant of matrix A. |
inv(A) | Inverse matrix A. |
eig(A) | Find the Eigenvalues of matrix A. |
[L,U]=lu(A)[L,U,P]=lu(A) | LU Factorization |
[U,S,V] = svd(A) | Singular Value Decomposition(SVD ) |

Function | Description |
drandss | Generates a random discrete state-space system model |
drandtf | Generates a discrete random system model in transfer function form |
drandzpk |Generates a discrete random system model in zero-pole-gain (ZPK) form |
pid | Constructs a proportional-integral-derivative (PID) controller model |
randss | Generates a continuous randomstate-space system model |
randtf | Generates a continuous random system model in transfer function form |
randzpk | Generates a continuous random system model in zero-pole-gain (ZPK) form |
ss | Createsa system model in, or converts a model to, state-space form |
sys filter | Constructs a digital filter in transfer function form |
sys order1 | Constructs the components of a first-order systemmodel |
sys order2 | Constructs the components of a second-order system model |
tf | Creates a system model in, or converts a model to, transfer function form |
zpk | Constructs a system modelin, or converts a model to, zero-pole-gain form |
c to d | Converts a continuous system model to a discrete model |
d to c | Converts a discrete system model to continuous one |
d to d |...