Re: [Scilab-users] Question syslin
- Mail original - De: Andreas Ladanyi andreas.lada...@gmx.net À: users@lists.scilab.org Envoyé: Mardi 16 Décembre 2014 11:01:25 Objet: [Scilab-users] Question syslin Hi, i am reading the help of scilab to understand the syslin function. In the help i can see 3 options for the dom parameter. There is an option for a sampled system 'n'. example syslin(0.01,...) defines a discrete linear dynamical system with sample period equal to 0.01. In this help there is no example for a sampled system. So what is the difference between a discrete system and a sampled system ? What is the difference between an discrete system d and an sampled system n for syslin ? In the most examples i read in the web syslin is called with dom='c'. cheers, Andreas ___ users mailing list users@lists.scilab.org http://lists.scilab.org/mailman/listinfo/users ___ users mailing list users@lists.scilab.org http://lists.scilab.org/mailman/listinfo/users
Re: [Scilab-users] Command datafit for a bivarate model function z=f(x, y)
Here is a working code
function z=!z(x,y,p)
z=p(1)*x.^2 + p(2)*y.^2
endfunction
pg=[5;6]//parameter of fictitious data
X=0:5;Y=0:5; Z=!z(X,Y,pg)
M=[X;Y;Z];//measurement matrix, 3 rows, 6 colomns
function e=!e(p,m),
x=m(1), y=m(2); z=m(3),
e=z-!z(x,y,p)
endfunction
p0=[2;3];
[p,err]=datafit(1,!e,M,p0)
z=!z(X,Y,p)
Serge Steer
- Mail original -
De: Jens j.s.st...@hslmg.de
À: users@lists.scilab.org
Envoyé: Lundi 15 Décembre 2014 23:00:43
Objet: [Scilab-users] Command datafit for a bivarate model function z=f(x,
y)
I tried to follow the pattern for data fit given in the thread
http://mailinglists.scilab.org/Convert-x-y-z-data-into-a-z-f-x-y-function-td4026897.html#a4026925
for the simple bivariate function
z=p(1)*x.^2 + p(2)*y.^2
by this script:
mode(0), lines(0), clc(), clear
deff( 'z=!z(x,y,p)','z=p(1)*x.^2 + p(2)*y.^2')//model function
pg=[5;6]//parameter of fictitious data
X=[0:5];Y=[0:5]; Z=!z(X,Y,pg)
M=[X;Y;Z];//measurement matrix, 3 rows, 6 colomns
deff(' e=!e(p,m)','x=M(1), y=M(2); z=M(3),e=z-!z(x,y)')//defect
(critereon- , error-,) function
p0=[2;3];
[p,err]=datafit(1,!e,M,p0)
err,
z=!z(X,Y,p)
However the script just returns p0 as solution. Would anyone kindly help me
to find the flaw?
Kind regards
Jens
--
View this message in context:
http://mailinglists.scilab.org/Command-datafit-for-a-bivarate-model-function-z-f-x-y-tp4031533.html
Sent from the Scilab users - Mailing Lists Archives mailing list archive at
Nabble.com.
___
users mailing list
users@lists.scilab.org
http://lists.scilab.org/mailman/listinfo/users
___
users mailing list
users@lists.scilab.org
http://lists.scilab.org/mailman/listinfo/users
Re: [Scilab-users] Comparison of SCILAB to other Analytical Applications
On Mon, 2014-12-15 at 19:45 +, Beck, Michel wrote: Hi Jeff, I work for a large Energy Company in North America and we are finally trying to get scientific in our choice of analytical software (for about 10-20 users). Would you please point me to sources where I can find information on the Pros and Cons of SCILAB to fill in the attached RFI?. Speaking purely as a user of Scilab and a past user of Matlab: * With Scilab you don't have to mess around with a license server. * With Scilab you don't have to get budgetary approval for every new toolbox (and if we're talking Matlab and 20 users, a toolbox costs as much as a nice new car). * Scilab integrates support for signal processing and control system analysis much better than Matlab. * The language that Scilab implements is much closer to being object-oriented than competitors, without being obtrusive with it (it still has it's quirks, but it's useful enough that I've made data-type libraries in projects, e.g. for quaternion arithmetic). It does have a downside that it has fewer flashy bells and whistles than Matlab -- but most of the Matlab bells and whistles have more flash than use, and Scilab seems to be finding good analogs for the really useful ones. -- Tim Wescott www.wescottdesign.com Control Communications systems, circuit software design. Phone: 503.631.7815 Cell: 503.349.8432 ___ users mailing list users@lists.scilab.org http://lists.scilab.org/mailman/listinfo/users
