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Computer method and apparatus for constraining a non-linear approximator of an empirical process

IPC분류정보
국가/구분 United States(US) Patent 등록
국제특허분류(IPC7판)
  • G06F-017/10
출원번호 US-0615754 (2009-11-10)
등록번호 US-8296107 (2012-10-23)
발명자 / 주소
  • Turner, Paul
  • Guiver, John P.
  • Lines, Brian
  • Treiber, S. Steven
출원인 / 주소
  • Aspen Technology, Inc.
대리인 / 주소
    Hamilton, Brook, Smith & Reynolds, P.C.
인용정보 피인용 횟수 : 17  인용 특허 : 46

초록

A constrained non-linear approximator for empirical process control is disclosed. The approximator constrains the behavior of the derivative of a subject empirical model without adversely affecting the ability of the model to represent generic non-linear relationships. There are three stages to deve

대표청구항

1. A non-transitory computer readable memory medium that stores computer executable instructions that when executed by a processor perform model predictive control and optimization of a nonlinear process by implementing a parametric universal nonlinear dynamic approximator for predictive control and

이 특허에 인용된 특허 (46)

  1. Boiquaye William J. N-O., Adaptive control process and system.
  2. Klimasauskas Casimir C., Analyzer for modeling and optimizing maintenance operations.
  3. Klimasauskas Casimir C., Analyzer for modeling and optimizing maintenance operations.
  4. Guiver John P. ; Klimasauskas Casimir C., Apparatus and method for selecting a working data set for model development.
  5. Treiber, Steven; Sirohi, Ashuraj; Ghorpade, Subhash; Lingard, Simon; Ramanathan, Sundaram; Chen, Chau-Chyun, Computer method and apparatus for determining state of physical properties in a chemical process.
  6. Treiber, Steven; McLeod, Ronald; Kalafatis, Alex; Ramanathan, Sundaram; Lingard, Simon; Chen, Chau-Chyun, Computer method and apparatus for optimized controller in a non-linear process.
  7. Bhat Naveen V. (2100 S. Gessner ; Apt. 1506 Houston TX 77063) Braden William B. (2229 W. Alabama Houston TX 77098) Heckendoorn Kent E. (2718 Cason Houston TX 77005) Graettinger Timothy J. (221 Bluest, Control system using an adaptive neural network for target and path optimization for a multivariable, nonlinear process.
  8. Bartusiak Raymond Donald (Houston TX) Fontaine Robert William (Houston TX), Feedback method for controlling non-linear processes.
  9. Klimasauskas Casimir C. ; Guiver John P., Hybrid linear-neural network process control.
  10. Klimasauskas Casimir C. ; Guiver John P., Hybrid linear-neural network process control.
  11. Martin,Gregory D.; McGarel,Steven J., Kiln control and upset recovery using a model predictive control in series with forward chaining.
  12. Martin, Gregory D.; McGarel, Steven J., Kiln/cooler control and upset recovery using a combination of model predictive control and expert systems.
  13. Gregory D. Martin ; Eugene Boe ; Stephen Piche ; James David Keller ; Douglas Timmer ; Mark Gerules ; John P. Havener, Method and apparatus for controlling a non-linear mill.
  14. Keeler James David ; Hartman Eric Jon ; Liano Kadir, Method and apparatus for determining the sensitivity of inputs to a neural network on output parameters.
  15. Martin Gregory D. ; Boe Eugene ; Piche Stephen ; Keeler James David ; Timmer Douglas ; Gerules Mark ; Havener John P., Method and apparatus for dynamic and steady state modeling over a desired path between two end points.
  16. Gregory D. Martin ; Eugene Boe ; Stephen Piche ; James David Keeler ; Douglas Timmer ; Mark Gerules ; John P. Havener, Method and apparatus for modeling dynamic and steady-state processes for prediction, control and optimization.
  17. Keeler, James David; Hartman, Eric Jon; Ferguson, Ralph Bruce, Method and apparatus for operating a neural network with missing and/or incomplete data.
  18. Keeler James D. ; Hartman Eric J. ; O'Hara Steven A. ; Kempf Jill L. ; Godbole Devendra B., Method and apparatus for preprocessing input data to a neural network.
  19. Hansen Peter D. (Wellesley Hills MA) Badavas Paul C. (Southboro MA), Method and apparatus for providing multivariable nonlinear control.
  20. Mathur Anoop ; Samad Tariq, Method for developing a neural network tool for process identification.
  21. Piche Stephen ; Keeler James David ; Hartman Eric ; Johnson William D. ; Gerules Mark ; Liano Kadir, Method for steady-state identification based upon identified dynamics.
  22. Keeler James David ; Hartman Eric Jon ; Ferguson Ralph Bruce, Method for training and/or testing a neural network with missing and/or incomplete data.
  23. Iino Yutaka (Kawasaki JPX) Ohya Junko (Kawasaki JPX), Model predictive control apparatus.
  24. Cawlfield David W. (Cleveland TN), Model predictive control apparatus and method.
  25. Wassick John M. ; McCroskey Patrick S. ; McDonough John J. ; Steckler David K., Model predictive controller.
  26. Wassick John M. ; McCroskey Patrick S. ; McDonough John J. ; Steckler David K., Model predictive controller.
  27. Henk de Waard JP; James J. Donald ; Zhimin Lu ; Robin M. de Keyser BE, Model-based predictive control of thermal processing.
  28. Kohn Wolf ; Nerode Anil ; James John, Multiple-agent hybrid control architecture for intelligent real-time control of distributed nonlinear processes.
  29. Werbos, Paul J., Neural networks for intelligent control.
  30. Hong Zhao ; Guillermo Sentoni ; John P. Guiver, Non-linear dynamic predictive device.
  31. Zhao,Hong; Sentoni,Guillermo; Guiver,John P., Non-linear dynamic predictive device.
  32. Harrell Douglas G. ; Williams Dennis C., Non-linear model predictive control method for controlling a gas-phase reactor including a rapid noise filter and method therefor.
  33. Piche,Stephen, Non-linear model with disturbance rejection.
  34. Samad Tariq, Nonlinear-approximator-based automatic tuner.
  35. Smith Thomas B. (Atkinson NH) Day David R. (Boxford MA) Roy Ajoy K. (Danvers MA) Tanzer Christian I. (Bedford ; MA), Partial least square regression techniques in obtaining measurements of one or more polymer properties with an on-line n.
  36. Chen Chau-Chyun (Lexington MA) Barrera Michael (Oakdale MN) Ko Glen (Tokyo JPX) Osias Martine (Watertown MA) Ramamathan Sundaram (Lexington MA) Tremblay David (Cambridge MA), Polymer component characterization method and process simulation apparatus.
  37. Havlena Vladimir,CZX ; Horak Josef,CZX ; Jelinek Jan, Polymerization process controller.
  38. Jan Jelinek ; Vladimir Havlena CS; Josef Horak CS, Polymerization process controller.
  39. Keeler James D. (Austin TX) Hartman Eric J. (Austin TX) O\Hara Steven A. (Round Rock TX) Kempf Jill L. (Austin TX) Godbole Devandra B. (Austin TX), Predictive network with learned preprocessing parameters.
  40. Nomura Masahide (Hitachi JPX) Saito Tadayoshi (Hitachi JPX) Matsumoto Hiroshi (Ibaraka JPX) Shimoda Makoto (Katsuta JPX) Kondoh Masakazu (Hitachi JPX) Miyagaki Hisanori (Ohta JPX) Sugano Akira (Katsu, Process control method and system for performing control of a controlled system by use of a neural network.
  41. James David Keeler ; Eric Jon Hartman ; Kadir Liano ; Ralph Bruce Ferguson, Residual activation neural network.
  42. Keeler James D. (Austin TX) Hartman Eric J. (Austin TX) Liano Kadir (Austin TX) Ferguson Ralph B. (Austin TX), Residual activation neural network.
  43. Qin, S. Joe; Guiver, John P., Sensor validation apparatus and method.
  44. Hess, Todd M.; Richards, Martyn Glenn; Kroll, Andreas, System and method for dynamic modeling, parameter estimation and optimization for processes having operating targets.
  45. Hoskins Josiah C. (Austin TX) Kramer Glenn A. (Austin TX), System and method of global optimization using artificial neural networks.
  46. Hess, Todd M.; Kroll, Andreas; Lindberg, Carl-Fredrik S. M.; Modén, Per Erik; Petersson, Mikael; Praprost, Kenneth L., System and methodology and adaptive, linear model predictive control based on rigorous, nonlinear process model.

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  3. Hunt, Brandon T.; Burba, Alexander, Content delivery prioritization in managed wireless distribution networks.
  4. Burba, Alexander; Hunt, Brandon T., Content discovery in managed wireless distribution networks.
  5. Hunt, Brandon T.; Burba, Alexander; Gallop, Michael J.; Morrison, III, Frank R., Distributing content in managed wireless distribution networks.
  6. Boies, Daniel; Heck, Larry; Anastasakos, Tasos; Sarikaya, Ruhi, Environmentally aware dialog policies and response generation.
  7. Levit, Michael; Guelman, Hernan; Chang, Shuangyu; Parthasarathy, Sarangarajan; Dumoulin, Benoit, Flexible schema for language model customization.
  8. Xue, Jian; Li, Jinyu; Yu, Dong; Seltzer, Michael L.; Gong, Yifan, Low-footprint adaptation and personalization for a deep neural network.
  9. Burba, Alexander; Hunt, Brandon T.; Gallop, Michael J.; Morrison, III, Frank R., Managed wireless distribution network.
  10. Sudolsky, Michael D.; Maggiore, Jeanne C., Methods and systems for cost-based control of aircraft health data reporting.
  11. Klier, Willy J., Non-linear compensation controller for active steering system in a vehicle.
  12. Obie, Gene Robert; Huang, Heng; He, Yi; Evans, Duane Martin, Power management contracts for accessory devices.
  13. Xue, Jian; Stoimenov, Emilian; Li, Jinyu; Gong, Yifan, Restructuring deep neural network acoustic models.
  14. Huang, Heng; Evans, Duane Martin; He, Yi; Obie, Gene Robert, Reversible connector for accessory devices.
  15. Huang, Heng; He, Yi; Evans, Duane Martin; Obie, Gene Robert, Reversible connector for accessory devices.
  16. Menezes, Pascal F.; Hassan, Amer A.; Leeb, Gunter; Haugen, Todd, Session-based device configuration.
  17. Li, Jinyu; Xue, Jian; Gong, Yifan, Shared hidden layer combination for speech recognition systems.
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