Data processing: generic control systems or specific application – Generic control system – apparatus or process – Optimization or adaptive control
Reexamination Certificate
2006-09-13
2009-02-24
DeCady, Albert (Department: 2121)
Data processing: generic control systems or specific application
Generic control system, apparatus or process
Optimization or adaptive control
C700S029000, C700S037000, C700S039000, C703S002000, C703S018000
Reexamination Certificate
active
07496414
ABSTRACT:
A system and method for predicting operation of a plant or process receive an input value from the plant or process. An integrity of a non-linear model corresponding to a local input space of the input value may be determined. The non-linear model may include an empirical representation of the plant or process. If the integrity is above a first threshold, non-linear model may be used to provide a first output value. However, if the integrity is below the first threshold, a linearized first principles model may be used to provide a second output value. The linearized first principles model may include an analytic representation of the plant or process. Additionally, the analytic representation of the plant or process may be independent of the empirical representation of the plant or process. The first output value and/or the second output value may be usable to manage the plant or process.
REFERENCES:
patent: 4228509 (1980-10-01), Kennedy
patent: 4230534 (1980-10-01), Stewart
patent: 4349869 (1982-09-01), Prett et al.
patent: 4358822 (1982-11-01), Sanchez
patent: 4368509 (1983-01-01), Li
patent: 4466054 (1984-08-01), Shigemasa et al.
patent: 4549123 (1985-10-01), Hagglund et al.
patent: 4628462 (1986-12-01), Putman
patent: 4639853 (1987-01-01), Rake et al.
patent: 4663703 (1987-05-01), Axelby et al.
patent: 4674029 (1987-06-01), Maudal
patent: 4736316 (1988-04-01), Wallman
patent: 4754391 (1988-06-01), Suzuki
patent: 4769766 (1988-09-01), Tung
patent: 4858147 (1989-08-01), Conwell
patent: 4868754 (1989-09-01), Matsumoto
patent: 4935886 (1990-06-01), Choka
patent: 4965713 (1990-10-01), Hong et al.
patent: 5091843 (1992-02-01), Peczkowski
patent: 5111531 (1992-05-01), Grayson et al.
patent: 5251285 (1993-10-01), Inoue et al.
patent: 5268834 (1993-12-01), Sanner et al.
patent: 5282130 (1994-01-01), Molnar
patent: 5282261 (1994-01-01), Skeirik
patent: 5283729 (1994-02-01), Lloyd
patent: 5285377 (1994-02-01), Sugasaka et al.
patent: 5305230 (1994-04-01), Matsumoto et al.
patent: 5311421 (1994-05-01), Nomura et al.
patent: 5335164 (1994-08-01), Gough, Jr. et al.
patent: 5353207 (1994-10-01), Keeler et al.
patent: 5369345 (1994-11-01), Phan et al.
patent: 5396415 (1995-03-01), Konar et al.
patent: 5408405 (1995-04-01), Mozumder et al.
patent: 5467291 (1995-11-01), Fan et al.
patent: 5477444 (1995-12-01), Bhat et al.
patent: 5486996 (1996-01-01), Samad et al.
patent: 5933345 (1999-08-01), Martin et al.
patent: 6009419 (1999-12-01), Coveney et al.
patent: 6047221 (2000-04-01), Piche et al.
patent: 6120173 (2000-09-01), Bonissone et al.
patent: 6278899 (2001-08-01), Piche et al.
patent: 6381504 (2002-04-01), Havener et al.
patent: 6438430 (2002-08-01), Martin et al.
patent: 6487459 (2002-11-01), Martin et al.
patent: 6625501 (2003-09-01), Martin et al.
patent: 6735483 (2004-05-01), Martin et al.
patent: 6738677 (2004-05-01), Martin et al.
patent: 6839599 (2005-01-01), Martin et al.
patent: 7050866 (2006-05-01), Martin et al.
patent: 0 280 948 (1988-07-01), None
patent: 03-004993 (1991-10-01), None
patent: 93/15448 (1993-08-01), None
patent: 96/12990 (1996-05-01), None
patent: 97/42553 (1997-11-01), None
T. J. Graettinger, N. V. Bhat, K. Heckendorn and J. S. Buck; “Model Predictive Control Using Neural Networks”; AlChE; Apr. 1994; pp. 1-11.
T. Graettinger, N. V. Bhat and J. S. Buck; “Adaptive Control with NeuCOP, the Neural Control and Optimization Package”; IEEE International Conference; 1994; pp. 2389-2393.
Kenneth R. Muske, Dan A. Logue and Michael M. Keaton; “Gain Scheduled Model Predictive Control of A Crude Oil Distillation Unit”; AlChE; Aug. 15, 1991; pp. 1-12.
G. D. Martin; “Systematic Process Modeling and Identification for Prediction, Control and Optimization”; Pavilion Invention Disclosure Description; Jun. 9, 1995; 3 pages.
C. E. Garcia, D. M. Prett and M. Morari; “Model Predictive Control: Theory and Practice—A Survey”; Automatica; 1989; pp. 335-348; vol. 25.
Dale E. Seborg, Tomas F. Edgar and Duncan A. Mellichamp; “Process Dynamics and Control”; 1989; Wiley and Sons; New York, NY.
A. V. Oppenheim and R. W. Schafer; “Digital Signal Processing”; 1975; Prentice-Hall; Englewood Cliffs, NJ.
G. E. B. Box and G. M. Jenkins; “Time Series Analysis”; 1976; Holden-Day; San Francisco, CA.
J. L. Shearer, A. T. Murphy and H. H. Richardson; “Introduction to System Dynamics”; 1976; Addison-Wesley; Reading, MA.
P. Eykhoff; “System Identification”; 1974; John Wiley & Sons; New York, NY.
H. Kurz and W. Goedecke; Digital Parameter-Adaptive Control of Processes with Unknown Dead Time; Automatica; 1981; pp. 245-252, vol. 17, No. 1.
H.-T. Su and T. J. McAvoy; “Integration of Multilayer Preceptron Networks and Linear Dynamic Models: A Hammerstein Modeling Approach”; I&EC Research; 1993.
M. Funabashi, I. Aoki, M. Yahiro and H. Inoue; “A fuzzy model based control scheme and its application to a road tunnel ventilation system”; International Conference on Industrial Electronics, Control and Instrumentation; 1991; pp. 1596-1601; vol. 2.
Xie Keming, Zhang Jainwei and T.Y. Lin; “A new dynamic matrix control algorithm based on the FNN TS Fuzzy model”; International Conference on Intelligent Processing Systems; 1997; pp. 317-321; vol. 1.
Boe Eugene
Martin Gregory D.
Piche Stephen W.
DeCady Albert
Fletcher Yoder
Lee Douglas S
Rockwell Automation Technologies Inc.
Walbrun William R.
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