Method for model gain matrix modification
作者： Adi R. Punuru , Lewis E. Vowell , Tod J. Peterson , Roger S. Hall , Trevor S. Pottorf
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摘要: A method is presented for adjusting the steady-state gains of a multivariable predictive control, planning or optimization model with uncertainty. The user selects desired matrix relative gain criteria sub-model. This used to calculate base number. Model are extracted from and magnitudes modified be rounded number powers calculated
lens.org 参考文章(15)
Kent Rasmussen, Blaine McIntyre, Magiel J. Harmse, Qinsheng Zheng, Methods and articles for detecting, verifying, and repairing collinearity in a model or subsets of a model ,(2004)
Chau-Chyun Chen, Simon Lingard, Sundaram Ramanathan, Steven Treiber, Alex Kalafatis, Ronald Mcleod, Computer method and apparatus for optimized controller in a non-linear process ,(2000)
Fakhruddin T Attarwala, Use of dynamic variance correction in optimization ,(2007)
John P. Havener, Stephen Piche, Mark Gerules, Eugene Boe, Gregory D. Martin, Douglas Timmer, James David Keeler, Method and apparatus for modeling dynamic and steady-state processes for prediction, control and optimization ,(1997)
Adi R. Punuru, Kenneth F. Emigholz, Robert K. Wang, Tod J. Peterson, Dave Barrett-Payton, Model predictive controller solution analysis process ,(2007)
Charles R. Cutler, Online dynamic advisor from mpc models ,(2006)
Brian L. Ramaker, Charles R. Cutler, David M. Prett, Dynamic matrix control method ,(1979)
Christopher L. Mulliss, Wei Da Chen, Wei Lee, On the hounding rules for logarithmic and exponential operations Chinese Journal of Physics. ,vol. 43, pp. 1017- 1034 ,(2005)
Stephen W. Piche, Eugene Boe, Gregory D. Martin, Dynamic controller utilizing a hybrid model ,(2007)
Charles R. Cutler, Adaptive multivariable mpc controller ,(2006)