System Identification

yeah, i am here, jumped too fast!

some commands of matlab:

lsqnonlin--------non-linear least square optimization

lsqcurvefit------use lsqnonlin to fit a curve

pem------------prediction error model

idgrey----------grey box model

idnlgrey--------grey box for non linear model.

ss --------------state space model

sim------------model simulation

bode-----------bode graph

step------------step response

impulse---------impulse response

c2d-------------convert continuous model to discrete model

system identification method:

state space

poles and zeros

frequency method i.e., bode graph

PID control

optimization method:

newton

gauss-newton

steepest gradient

levenberg marquardt