- Scilab Help
- CACSD (Computer Aided Control Systems Design)
- Formal representations and conversions
- Plot and display
- abinv
- arhnk
- arl2
- arma
- arma2p
- arma2ss
- armac
- armax
- armax1
- arsimul
- augment
- balreal
- bilin
- bstap
- cainv
- calfrq
- canon
- ccontrg
- cls2dls
- colinout
- colregul
- cont_mat
- contr
- contrss
- copfac
- csim
- ctr_gram
- damp
- dcf
- ddp
- dhinf
- dhnorm
- dscr
- dsimul
- dt_ility
- dtsi
- equil
- equil1
- feedback
- findABCD
- findAC
- findBD
- findBDK
- findR
- findx0BD
- flts
- fourplan
- freq
- freson
- fspec
- fspecg
- fstabst
- g_margin
- gamitg
- gcare
- gfare
- gfrancis
- gtild
- h2norm
- h_cl
- h_inf
- h_inf_st
- h_norm
- hankelsv
- hinf
- imrep2ss
- inistate
- invsyslin
- kpure
- krac2
- lcf
- leqr
- lft
- lin
- linf
- linfn
- linmeq
- lqe
- lqg
- lqg2stan
- lqg_ltr
- lqr
- ltitr
- macglov
- minreal
- minss
- mucomp
- narsimul
- nehari
- noisegen
- nyquistfrequencybounds
- obs_gram
- obscont
- observer
- obsv_mat
- obsvss
- p_margin
- parrot
- pfss
- phasemag
- plzr
- pol2des
- ppol
- prbs_a
- projsl
- repfreq
- ric_desc
- ricc
- riccati
- routh_t
- rowinout
- rowregul
- rtitr
- sensi
- sident
- sorder
- specfact
- ssprint
- st_ility
- stabil
- sysfact
- syslin
- syssize
- time_id
- trzeros
- ui_observer
- unobs
- zeropen
Please note that the recommended version of Scilab is 2025.0.0. This page might be outdated.
See the recommended documentation of this function
csim
simulation (time response) of linear system
Calling Sequence
[y [,x]]=csim(u,t,sl,[x0 [,tol]])
Arguments
- u
function, list or string (control)
- t
real vector specifying times with,
t(1)
is the initial time (x0=x(t(1))
).- sl
syslin
list (SIMO linear system) in continuous time.- y
a matrix such that
y=[y(t(i)]
, i=1,..,n- x
a matrix such that
x=[x(t(i)]
, i=1,..,n- tol
a 2 vector [atol rtol] defining absolute and relative tolerances for ode solver (see ode)
Description
simulation of the controlled linear system sl
.
sl
is assumed to be a continuous-time system
represented by a syslin
list.
u
is the control and x0
the initial state.
y
is the output and x
the state.
The control can be:
1. a function : [inputs]=u(t)
2. a list : list(ut,parameter1,....,parametern)
such that:
inputs=ut(t,parameter1,....,parametern)
(ut
is a function)
3. the string "impuls"
for impulse
response calculation (here sl
must have
a single input and x0=0
). For systems
with direct feedthrough, the infinite pulse at t=0 is
ignored.
4. the string "step"
for step response calculation
(here sl
must have a single input and
x0=0
)
5. a vector giving the values of u corresponding to each t value.
Examples
s=poly(0,'s'); rand('seed',0); w=ssrand(1,1,3); w('A')=w('A')-2*eye(); t=0:0.05:5; //impulse(w) = step (s * w) plot2d([t',t'],[(csim('step',t,tf2ss(s)*w))',0*t'])
s=poly(0,'s'); rand('seed',0); w=ssrand(1,1,3); w('A')=w('A')-2*eye(); t=0:0.05:5; plot2d([t',t'],[(csim('impulse',t,w))',0*t'])
s=poly(0,'s'); rand('seed',0); w=ssrand(1,1,3); w('A')=w('A')-2*eye(); t=0:0.05:5; //step(w) = impulse (s^-1 * w) plot2d([t',t'],[(csim('step',t,w))',0*t'])
See Also
- syslin — linear system definition
- dsimul — state space discrete time simulation
- flts — time response (discrete time, sampled system)
- ltitr — discrete time response (state space)
- rtitr — discrete time response (transfer matrix)
- ode — ordinary differential equation solver
- impl — differential algebraic equation
Report an issue | ||
<< copfac | CACSD (Computer Aided Control Systems Design) | ctr_gram >> |