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csim
simulation (time response) of linear system
Syntax
[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
- A SISO or SIMO linear dynamical system, in state space, transfer function or zpk representations, 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'])
 
        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,tf2ss(1/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; //input defined by a time function deff('u=timefun(t)','u=abs(sin(t))') clf();plot2d([t',t'],[(csim(timefun,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
History
| Version | Description | 
| 6.0 | handling zpk representation | 
| Report an issue | ||
| << arsimul | Time Domain | damp >> |