A method of MPC model error detection

Key Science and Technology Plan Project of Fujian Province [2009H0044]; National Natural Science Foundation of China [61174161]; Xiamen University [0630-E72000]; National Science Foundation of China [60934007]; 973 Program of China [201203720500]

[1]  S. Joe Qin,et al.  Discriminating between disturbance and process model mismatch in model predictive control , 2009 .

[2]  S. Joe Qin,et al.  Control performance monitoring — a review and assessment , 1998 .

[3]  Sirish L. Shah,et al.  Detection of model-plant mismatch in MPC applications ☆ , 2009 .

[4]  S. Joe Qin,et al.  A survey of industrial model predictive control technology , 2003 .

[5]  Riccardo Marino,et al.  Nonlinear control design , 1995 .

[6]  Sirish L. Shah,et al.  Quantifying the impact of model-plant mismatch on controller performance , 2010 .

[7]  Sirish L. Shah,et al.  Performance Assessment of Control Loops: Theory and Applications , 1999 .

[8]  Sirish L. Shah,et al.  Performance assessment of advanced supervisory-regulatory control systems with subspace LQG benchmark , 2010, Autom..

[9]  Yucai Zhu.  System identification for process control: Recent experience and outlook , 2006 .

[10]  G. Siouris,et al.  Nonlinear Control Engineering , 1977, IEEE Transactions on Systems, Man, and Cybernetics.

[11]  Sirish L. Shah,et al.  Good, bad or optimal? Performance assessment of multivariable processes , 1997, Autom..

[12]  Lennart Ljung,et al.  System Identification: Theory for the User , 1987 .

[13]  Jay H. Lee,et al.  Model predictive control: past, present and future , 1999 .

[14]  T. Harris.  Assessment of Control Loop Performance , 1989 .

[15]  Jay H. Lee,et al.  Diagnostic Tools for Multivariable Model-Based Control Systems , 1997 .