Multi-region fuzzy logic control system with auxiliary variables
Patent 6041320 Issued on March 21, 2000. Estimated Expiration Date: March 21, 2017. 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.
A fuzzy control system for industrial process control utilizes an auxiliary process variable to determine which of several regions of different gain a non-linear process is operating. Based upon that determination and fuzzy input signals, the fuzzy controller provides a process control signal which corresponds to that region.
ISA Conference and Exhibition on Industrial Automation, "Supervisory Hierarachical Intelligent Control For Medical and Industrial Systems", by D.A. Linkens and M.F. Abbod, Jun. 1992, pp. 1.21-1.24
ATP Automatisierungstechnische Praxis, "Automation Concepts Based on Fuzzy Control and Classical Control Theory", vol. 35, No. 6, By R. Schreiber and K. Zinser, Jun. 1993, pp. 349-354
AT Automatisierungstechnik, vol. 41, No. 5, By J. Boll, M. Hottecke and F. Dorrscheidt, May 1993, pp. 145-151
Proceedings of the 1992 IEEE International Symposium on Intelligent Control, by D.A. Linkens, J.S. Shieh, Aug. 1992, pp. 210-215
Transactions of the Institute of Measurement and Control, "Supervisory Intelligent Control Using A Fuzzy Logic Hierarchy", vol. 15, No. 3, By D.A. Linkens and M.F. Abbod, 1993, pp. 112-132
Fuzzy Control Theory: A Nonlinear Case, Ying et al., Automatica, 26(3) pp. 513-520 (1990)
A New Fuzzy Gain Scheduling Algorithm for Process Control, Ling et al., pp. 2284-2290 1992 AC/TP3
An Introduction Survey of Fuzzy Control, Sugeno, Information Sciences 36, pp. 59-83 (1985)
Bouslama, F. et al., Application of Limit Fuzzy Controllers to Stability Analysis, Jul. 27, No. 2, pp. 103-120
Kim, Seung-Woo et al., "Fuzzy Compliance Robot Control Using Multi Rule-Base", IEEE International Conference on Fuzzy Systems, Mar. 8-12, 1992, San Diego, California, pp. 1343-1348
Tsuneo et al, "highly-reliable semi-autonomous vehicle control on lattice lane"; IEEE International Workshop on Intelligent Robots and Systems 90'; p. 731-8 vol. 2; Jul. 3-6, 1990
Smith et al, "self-tuning of a fuzzy logic controller using a cell state space algorithm"; 1990 IEEE International Conference onSystems, Man and Cybernetics Conference Proceedings; p. 445-50, Nov. 4-7, 1990
Han et al, "Two-layer multiple-variable fuzzy logic controller"; IEEE Transactions on Systems, Man and Cybernetics, vol. 23, iss. 1 p. 277-85; Jan.-Feb. 199