This is a support vector machine program developed based on quadprog. Polynomial and RBF kernel are supported. Test it by executing example.m with supported data.
list of matlab m-files on matlab 7.0. learning , support vector machine and some utility routines : autocorrelation, linearly scale randomize the row order of a matrix
This paper analyzes the vector control theory of asynchronous motors based on the magnetic orientation of motor rotors, and its mathematical model is made. Then the variable frequency vector speed-adjusting experimental system is built with the DSP TMS320F2812 which works as the core control chip and intelligent power module.
Two scripts are included here.
1. convsys.m - combines the state space representation of two systems connected in series.
[Ao,Bo,Co,Do]=convsys(A1,B1,C1,D1,A2,B2,C2,D2)
This algorithm gives the convolution of two state space representations
| A1 B1 | | A2 B2 |
u ==> | | ==> | | ==> y
| C1 D1 | | C2 D2 |
The algorithm also accepts state space objects as inputs and gives out a state space object as output.
2. sysfeedbk.m
[Ao,Bo,Co,Do]=convsys(A1,B1,C1,D1,A2,B2,C2,D2)
Gives the closed loop state space representation for two systems connected with negative feedback in the following manner.
| A1 B1 |
u ==> | | ==> y
+ o | C1 D1 | |
- | |
| | A2 B2 | |
|= | |= |
| C2 D2 |
The zip file also contains checkcompatibility.m , which checks the compatibility of matrix dimensions in the system and cleanss.m which can be used to clean a state space representation.
