U.S. patents available from 1976 to present.
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Process control using co-ordinate space

Patent 7433743 Issued on October 7, 2008. Estimated Expiration Date: Icon_subject May 27, 2022. Estimated Expiration Date is calculated based on simple USPTO term provisions. It does not account for terminal disclaimers, term adjustments, failure to pay maintenance fees, or other factors which might affect the term of a patent.

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Inventors

Assignee

Application

No. 10479100 filed on 05/27/2002

US Classes:

700/52, Parameter estimation or identification700/29, Having model700/32, Specific criteria of system performance700/67, Plural variables700/86, Having preparation of program700/89, Having specific algorithm702/189, Measured signal processing703/2MODELING BY MATHEMATICAL EXPRESSION

Examiners

Primary: Bullock, Crystal Barnes

Attorney, Agent or Firm

Foreign Patent References

  • 0712060 EP 05/01/1996
  • 0745916 EP 12/01/1996
  • WO 95/02213 WO 01/01/1995
  • WO 00/41044 WO 07/01/2000
  • WO 00/41045 WO 07/01/2000
  • WO 00/65417 WO 11/01/2000

International Classes

G05B 13/02
G05B 11/32
G05B 19/42
G06F 15/00
G06F 7/60
G06F 17/10
H03F 1/26
H04B 15/00

Abstract

In a control system for controlling a plant system or process (22), a model based problem is formulated and an explicit control solution is constructed off-line such that a parametric profile (24) is constructed using parametric optimisation techniques (26). As a result the system can operate in real-time with significantly reduced computational burden.

Other References

  • Morari et al., “Model Predictive Control Toolbox”, The Mathworks, Inc., 1994.
  • Fiacco, “Introduction to Sensitivity and Stability Analysis in Nonlinear Programming”, Academic Press, London, U.K., 1983.
  • Gal et al., Multiparametric Linear Programming. Management Science, 18: pp. 406-442, 1972.
  • Pistikopoulos et al., “On-Line Optimization via Off-Line Parametric Optimization Tools”, Computers & Chemical Engineering, vol. 24, pp. 183-188, 2000.
  • Bemporad et al., Performance Analysis of Piecewise Linear Systems and Model Predictive Control, Sydney, Australia, Dec. 2000, pp. 4957-4962.
  • Bemporad et al., “Optimal Piecewise-Linear Control of Dry Clutch Engagement”, in IFAC Workshop Advances in Automotive Control, Karlstruhe, Germany, Mar. 2001, pp. 23-28.
  • Bemporad et al., “Model Predictive Control: A Multi-Parametric Programming Approach”, in Proceedings of the European Symposium on Computer Aided Process Engineering-10, Florence, Italy, May 2000, pp. 301-306.
  • Bemporad et al., Optimal Controllers for Hybrid Systems: Stability and Piecewise Linear Explicit Form, in Proceedings of the 39th IEEE Conference on Decision and Control, Sydney, Australia, Dec. 2000, pp. 1810-1815.
  • Bemporad et al., “Explicit Solution of LP-Based Receding Horizon Control”, in Proceedings of the 39th IEEE Conference on Decision and Control, Sydney, Australia, Dec. 2000, pp. 632-637.
  • Borrelli et al., “A Hybrid Approach to Traction Control”, in Hybrid Systems: Computation and Control, A Sangiovanni-Vincentelli and M.D. Di Benedetto, Eds. 2001, No. 2034 in Lecture Notes in Computer Science, pp. 162-174, Springer-Verlag. (published around Mar. 2001).
  • Bemporad et al., “Piecewise Linear Optimal Controllers for Hybrid Systems”, in American Control Conference, Chicago, IL, Jun. 2000, pp. 1190-1194.
  • Bemporad et al., “The Explicit Solution of Model Predictive Control via Multiparametric Quadratic Programming”, in American Control Conference, Chicago, IL, Jun. 2000, pp. 872-876.
  • Communication from European Patent Office dated Sep. 29, 2006.
  • Morari et al., “Model Predictive Control; past, present and future”, (1999) Comput. Chem. Engng. 23, pp. 667-682.
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