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Title: US6078911: Compilation of rule bases for fuzzy logic control
[ Derwent Title ]


Country: US United States of America

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27 pages

 
Inventor: Bonissone, Piero Patrone; Schenectady, NY
Comly, James Baldwin; Schenectady, NY
Dausch, Mark Edward; Schenectady, NY

Assignee: General Electric Company, Schenectady, NY
other patents from GENERAL ELECTRIC COMPANY (218550) (approx. 30,796)
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Published / Filed: 2000-06-20 / 1994-08-10

Application Number: US1994000288154

IPC Code: Advanced: G06N 7/02; G06N 7/04;
Core: G06N 7/00;
IPC-7: G06F 15/18;

ECLA Code: G06N7/02T; G06N7/04;

U.S. Class: Current: 706/052; 706/046;
Original: 706/052; 706/046;

Field of Search: 395/003,11,51,61,900,911 706/046,52

Priority Number:
1994-08-10  US1994000288154
1991-10-15  US1991000775873

Abstract: A fuzzy logic controller is compiled into values in a look-up table such that the table may be used for adjusting a process dependent upon the state variables. The look-up table may be generated by use of a Mean of Maxima (MOM) technique for defuzzification. Alternately, an approximate Height Method (HM) may be used to provide defuzzification. The MOM and HM techniques allow fuzzy logic control without executing any rules in run-time. A further alternative uses an exact height method and minimizes the number of rules which are executed in run time.

Attorney, Agent or Firm: Goldman, Dave C. ; Breedlove, Jill M. ;

Primary / Asst. Examiners: Hafiz, Tariq R.;

Maintenance Status: E1 Expired  Check current status

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Related Applications:
Application Number Filed Patent Pub. Date  Title
US1991000775873 1991-10-15       


       
Parent Case:     This application is a Continuation of application Ser. No. 07/775,873 filed Oct. 15, 1991, now abandoned.

Family: None

First Claim:
Show all 12 claims
What is claimed is:     1. A compiled fuzzy logic control system for controlling a process, comprising:
  • means for sensing at least two continuously defined state variables of the process;
  • means for receiving the sensed state variables from the sensing means;
  • a memory having a look-up table stored therein at a plurality of memory locations, the look-up table being a compilation of values derived from executing a fuzzy logic rule base for the sensed state variables, such that each of said plurality of memory locations stores a value representative of an output derived from an operation of the fuzzy logic rule base, wherein a portion of the stored values are representative of the output from executing a single corresponding rule of the fuzzy logic rule base and other stored values are dependent on the outputs from executing a corresponding plurality of rules of the fuzzy logic rule base;
  • means for generating an address for the sensed state variables to a location in the look-up table of the memory;
  • means for reading the look-up table in the memory location corresponding to the generated address and outputting the stored value derived from executing the fuzzy logic rule base therefrom; and
  • actuating means coupled to the reading means for receiving the stored value and outputting a control action to the process in accordance with the stored value derived from executing the fuzzy logic rule base.


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Forward References: Show 6 U.S. patent(s) that reference this one

       
U.S. References: Go to Result Set: All U.S. references   |  Forward references (6)   |   Backward references (14)   |   Citation Link

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PDF
Patent  Pub.Date  Inventor Assignee   Title
Buy PDF- 25pp US4860213  1989-08 Bonissone  General Electric Company Reasoning system for reasoning with uncertainty
Buy PDF- 7pp US4961225  1990-10 Hisano  Omron Tateisi Electronics Co. Fuzzy data communication system
Buy PDF- 13pp US5012430  1991-04 Sakurai  Hitachi, Ltd. Fuzzy inference-based digital control method and apparatus
Buy PDF- 9pp US5022498  1991-06 Sasaki et al.  Fujitec Co., Ltd. Method and apparatus for controlling a group of elevators using fuzzy rules
Buy PDF- 25pp US5025499  1991-06 Inoue et al.  Hitachi, Ltd. Process control method and control system
Buy PDF- 64pp US5051932  1991-09 Inoue et al.  Hitachi, Ltd. Method and system for process control with complex inference mechanism
Buy PDF- 40pp US5058033  1991-10 Bonissone et al.  General Electric Company Real-time system for reasoning with uncertainty
Buy PDF- 44pp US5067374  1991-11 Sakai et al.  Honda Giken Kogyo Kabushiki Kaisha Vehicle automatic transmission control system
Buy PDF- 8pp US5081598  1992-01 Bellows et al.  Westinghouse Electric Corp. Method for associating text in automatic diagnostic system to produce recommended actions automatically
Buy PDF- 16pp US5099428  1992-03 Takahashi  Nissan Motor Company, Limited Shifting control system for automotive automatic power transmission with neuron computer with refined data sampling and shifting pattern recollection characteristics
Buy PDF- 37pp US5156013  1992-10 Arima et al.  Sanyo Electric Co., Ltd. Control device for absorption refrigerator
Buy PDF- 16pp US5165011  1992-11 Hisano  Omron Tateisi Electronics Co. System for switching a rule group
Buy PDF- 28pp US5245695  1993-09 Basehore  American Neuralogix Inc. Fuzzy microcontroller
Buy PDF- 63pp US5263120  1993-11 Bichkel   Adaptive fast fuzzy clustering system
       
Foreign References: None

Other Abstract Info: DERABS G2000-627611 DERABS G2000-627611

Other References:
  • "Analysis of a Fuzzy Logic Controller", by W.J.M. Kickert & E.H. Mamadani, Fuzzy Set and Systems, 12:29-44, 1978.
  • "The Implementation of Fuzzy Algorithms for Control", by D.A. Rutherford & G.C. Bloore, Proceedings of the IEEE, 64(4):572-573, 1976.
  • "Fuzzy Sets", by L.A. Zadeh, Information and Control, 8:338-353, 1965.
  • "Time-Constrained Reasoning Under Uncertainty", by Piero P. Bonissone & Pete C. Halverson, Journal of Real Time Systems, 2:22-45, May 1990.
  • "OPS, A Domain-Independent Production System Language", by C. Forgy & J. McDermott, In Proc. Fifth Intern. Conf. on Artificial Intelligence, pp. 933-939, 1977.
  • "Rete: A Fast Algorithm for the Many Pattern/Many Object Patter Match Problem", by Charles L. Forgy, Journal of Artificial Inteligence, 19(1):17-37, Sep. 1982.
  • Chiueh, "Optimization of fuzzy logic inference architecture"; Computer, vol. 25 Iss. 5, pp. 67-71, May 1992.
  • Watanabe et al, "VLSI fuzzy chip and inference accelerator board systems", Proceedings of the Twenty-First International Symposium on Multiple-valued logic, pp. 120-127, May 26-29, 1991.
  • Yamguchi, "Fuzzy adaptive control with an associative memory system", International Conference on Control '91, pp. 944-949 vol. 2, Mar. 25-28, 1991.


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