Identification of dynamic systems under closed-loop control

References

• Aling , H and Bosgra , OH . 1991 . “Identification of state space systems in closed-loop” . In Proceedings of the American Control Conference 1764 – 1769 .
   Google Scholar
• Eklund , K . 1970 . Numerical model building . International Journal of Control , 11 ( 6 ) : 973 – 985 .
   Web of Science ®Google Scholar
• Favoreel , W , de Moor , B and van Overschee , P . 1998 . “Subspace state space system identification for industrial processes” . In Proceedings of the 5th IFAC Symposium on Dynamics and Control of Process Systems , 322 – 330 . Greece : Corfu .
   Google Scholar
• Gilson , M , Richard , A and Garnier , H . 2002 . “ Quantification of model uncertainties in closed-loop subspace identification ” . In Proceedings of the 41st IEEE Conference on Decision and Control Las Vegas, Nevada, , USA
   Google Scholar
• Golub , GH and van Loan , CF . 1996 . Matrix Computation , 3rd ed , Baltimore : John Hopkins .
   Google Scholar
• Golub , GH . 1979 . A hessenberg-schur method for the problem ax + xb = c . IEEE Transactions on Automatic Control , 26 ( 6 ) : 909 – 913 .
   Google Scholar
• Hahn , J and Edgar , TF . 2002 . A balancing approach to minimal realization and model reduction of stable nonlinear systems . Industrial and Engineering Chemistry Research , 41 ( 9 ) : 2204 – 2212 .
   Google Scholar
• Hou , D and Hsu , C . 1991 . State space model identification with data correlation . International Journal of Control , 181 : 181 – 192 .
   Google Scholar
• Hou , D and Hsu , C . 1992 . State space model identification of unstable linear systems . Control Theory and Advanced Technology , 8 ( 1 ) : 16 – 25 .
   Google Scholar
• Hsieh , C , Kim , JH , Liu , K , Zhu , G and Skelton , RE . 1991 . Control of large flexible structures – an experiment on the nasa mini-mast facility . IEEE Control Systems Magazine , 11 ( 6 ) : 13 – 21 .
   Google Scholar
• Lee , J and Edgar , TF . 2002 . Subspace identification method for simulation of closed-loop systems with time delay . AIChE Journal , 48 ( 2 ) : 417 – 420 .
   Google Scholar
• Liu , K and Skelton , RE . 1990 . “ Closed-loop identification and iterative controller design ” . In Proceedings of the IEEE Conference on Decision and Control 482 – 487 .
   Google Scholar
• Ljung , L and Forssell , U . 1997 . “ Variance results for closed-loop identification methods ” . In IEEE Conference on Decision and Control 2435 – 2440 . San Diego, CA
   Google Scholar
• Ljung , L and McKelvey , T . 1996 . Subspace identification from closed-loop data . Signal Processing , 209 : 209 – 215 .
   Google Scholar
• Ljung , L and Śoderstŕom , T . 1983 . Theory and Practice of Recursive Identification , Cambridge, Massachusetts : MIT Press .
   Google Scholar
• Ljung , L . 1999 . System Identification: Theory for the User, , 2nd ed , N.J, , USA : Prentice Hall, Upper Saddle River .
   Google Scholar
• Marquardt , W . 2001 . “ Nonlinear model reduction for optimization based control of transient chemical processes ” . In Proceedings of the 6th International Conference on Chemical Process Control 30 – 60 .
   Google Scholar
• Moonen , M . 1989 . On- and off-line identification of linear state space models . International Journal of Control , 219 : 219 – 232 .
   Google Scholar
• Mo , J , Xu , X , He , X and Fang , X . 2000 . A survey on closed-loop identification problems . Journal of Tsinghua University (Science & Technology) , 20 ( 2 ) : 90 – 94 .
   Google Scholar
• van den Hof , P and Schrama , R.J.P. 1995 . Identification and control – closed-loop issues . Automatica , 31 ( 2 ) : 1751 – 1770 .
   Google Scholar
• van den Hof , P . 1997 . “ ldquo;Closid – a closed-loop system identification toolbox for matlab” . In Proceedings of the 11th IFAC Symposium on System Identification (SYSID '97) , 983 – 989 . Japan : Fukuoka .
   Google Scholar
• van den Hof , P . 1998 . Closed-loop issues in system identification . Annual Reviews in Control , 22 : 173 – 186 .
   Google Scholar
• van Overschee , P and de Moor , B . 1993 . “ N4sid: numerical algorithms for state space subspace system identification ” . In Proceedings of the IFAC World Congress 361 – 364 . Sydney, , Australia
   Google Scholar
• van Overschee , P and de Moor , B . 1995 . A unifying theorem for three subspace system identification algorithms . Automatica , 31 : 1853 – 1864 .
   Web of Science ®Google Scholar
• Verhaegen , M and Dewilde , P . 1992 . Subspace model identification. Part I: the output-error statespace model identification class of algorithms . International Journal of Control , 56 ( 5 ) : 1187 – 1210 .
   Web of Science ®Google Scholar