Model predictive satisficing fuzzy logic control

IEEE Transactions on Fuzzy Systems

Volumn 7, Issue 3, 1999, Pages 319-332

  Goodrich, Michael A ^a   Stirling, Wynn C ^b   Frost, Richard L ^b  

^a Nissan USA   (United States)

^b Brigham Young University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION MAKING; FUZZY SETS; INTELLIGENT CONTROL; NONLINEAR CONTROL SYSTEMS; OPTIMAL CONTROL SYSTEMS; PREDICTIVE CONTROL SYSTEMS;

EXPLICIT MODEL; IMPLICIT MODEL; SATISFICING;

FUZZY CONTROL;

EID: 0032625740     PISSN: 10636706     EISSN: None     Source Type: Journal    
DOI: 10.1109/91.771087     Document Type: Article

References (53)

1. A. Meystel, Autonomous Mobile Robots. Singapore: World Scientific, 1991.
2. Y. C. Ho, "Heuristics, rules of thumb, and the 80/20 proposition," IEEE Trans. Automat. Contr., vol. 39, pp. 1025-1027, May 1994.
3. Y.-C. Ho, "On the numerical solutions of stochastic optimization problem," IEEE Trans. Automat. Contr., vol. 42, pp. 727-729, May 1997.
4. W. C. Stirling, M. A. Goodrich, and R. L. Frost, "Procedurally rational decision-making and control," IEEE Contr. Syst. Mag., vol. 16, pp. 66-75, Oct. 1996.
5. L. A. Zadeh, "What is optimal?," IRE Trans. Inform. Theory, vol. 4, no. 1, p. 3, Mar. 1958.
6. M. R. Endsley, "The role of awareness in naturalistic decision making," in Naturalistic Decision Making, C. E. Zsambok and G. Klein, Eds. Hillsdale, NJ: Erlbaum, 1997, ch. 26, pp. 269-283,.
7. M. A. Goodrich, W. C. Stirling, and R. L. Frost, "A theory of satisficing decisions and control," IEEE Trans. Syst., Man, Cybern. - Part A: Syst. Humans, vol. 28, pp. 763-779, Nov. 1998.
8. _, "A satisficing approach to intelligent control of nonlinear systems," in Proc. IEEE Int. Symp. Intell. Contr., Dearborn, MI, Sept. 1996.
9. H. A. Simon, "A behavioral model of rational choice," Quart. J. Econ., vol. 59, pp. 99-118, 1955.
10. _, The Sciences of the Artificial, 3rd ed. Cambridge, MA: MIT Press, 1996.
11. I. Levi, The Enterprise of Knowledge. Cambridge, MA: MIT Press, 1980.
12. J. M. Mendel, "Fuzzy logic systems for engineering: A tutorial," Proc. IEEE, vol. 83, pp. 345-347, Mar. 1995.
13. S. Roychowdhury and B.-H. Wang, "Cooperative neighbors in defuzzification," Fuzzy Sets Syst., vol. 78, no. 1, pp. 37-49, Feb. 1996.
14. M. A. Goodrich, W. C. Stirling, and R. L. Frost, "Model predictive satisficing fuzzy logic control," Tech. Rep. CBR TR 98-3, Nissan Cambridge Basic Res., Nissan Res. Development Inc., Cambridge, MA, 1998.
15. P. B. Sistu and B. W. Bequette, "Nonlinear model-predictive control: Closed-loop stability analysis," AIChE J., vol. 42, no. 12, pp. 3388-3042, Dec. 1996.
16. J. Richalet, "Industrial applications of model based predictive control," Automatica, vol. 29, pp. 1251-1274, 1993.
17. D. Q. Mayne and H. Michalska, "Receding horizon control of nonlinear systems," IEEE Trans. Automat. Contr., vol. 35, pp. 814-824, 1990.
18. P. O. M. Scokaert, J. B. Rawlings, and E. S. Meadows, "Discrete-time stability with perturbations: Application to model predictive control," Automatica, vol. 33, no. 3, pp. 463-470, Mar. 1997.
19. P. O. M. Scokaert and D. Q. Mayne, "Min-max feedback model predictive control for constrained linear systems," IEEE Trans. Automat. Contr., vol. 43, pp. 1136-1142, Aug. 1998.
20. P. O. M. Scokaert and J. B. Rawlings, "Constrained linear quadratic regulation," IEEE Trans. Automat. Contr., vol. 43, pp. 1163-1169, Aug. 1998.
21. K.-W. Li, I. B. Turksen, E. J. Davison, and K. C. Smith, "Stabilization of unstable and unintuitive plants by fuzzy control," IEEE Trans. Syst., Man, Cybern. - Part B, vol. 27, pp. 55-67, Feb. 1997.
22. S. K. Tso and Y. H. Fung, "Methodological development of fuzzy-logic controllers from multivariable control," IEEE Trans. Syst., Man, Cybern. - Part B, vol. 27, pp. 566-572, June 1997.
23. K. Tanaka and T. Kosaki, "Design of a stable fuzzy controller for an articulated vehicle," IEEE Trans. Syst., Man, Cybern. - Part B, vol. 27, pp. 552-558, June 1997.
24. L. X. Wang, "Stable adaptive fuzzy controllers with application to inverted pendulum tracking," IEEE Trans. Syst., Man, Cybern. - Part B, vol. 26, pp. 677-691, Oct. 1996.
25. R. F. Popoli and J. M. Mendel, "Heuristically constrained estimation for intelligent signal processing," in Advances in Geophysical Data Processing, M. Simaan and F. Aminzadeh, Eds. Stamford, CT: JAI Press, 1989, vol. 3, pp. 107-134.
26. _, "Estimation using subjective knowledge with tracking applications," IEEE Trans. Aerosp. Electron. Syst., vol. 29, pp. 610-623, July 1993.
27. M. D. Mesarovic and Y. Takahara, "On a qualitative theory of satisfactory control," Inform. Sci., vol. 4, no. 4, pp. 291-313, Oct. 1972.
28. T. Matsuda and S. Takatsu, "Characterization of satisficing decision criterion," Inform. Sci., vol. 17, no. 2, pp. 131-151, 1979.
29. _, "Algebaric properties of satisficing decision criterion," Inform. Sci., vol. 17, no. 3, pp. 221-237, 17.
30. S. Takatsu, "Decomposition of satisficing decision problems," Inform. Sci., vol. 22, no. 2, pp. 139-148, 1980.
31. H. A. Simon, "Invariants of human behavior," Annu. Rev. Psych., vol. 41, pp. 1-19, 1990.
32. G. Gigerenzer and D. G. Goldstein, "Reasoning the fast and frugal way: Models of bounded rationality," Psych. Rev., vol. 103, no. 4, pp. 650-669, 1996.
33. C. E. Zsambok and G. Klein, Eds., Naturalistic Decision Making. Hillsdale, NJ: Erlbaum, 1997.
34. L. A. Zadeh, "Maximizing sets and fuzzy markoff algorithms," IEEE Trans. Syst., Man, Cybern. - Part C: Applicat. Rev., vol. 28, pp. 9-15, Feb. 1998.
35. M. Slote, Beyond Optimizing. Cambridge, MA: Harvard Univ. Press, 1989.
36. 1998 NIPS Workshop Simple Inference Heurist. vs. Complex Decision Mach., Breckenndge, CO, Dec. 1998.
37. "Special issue on higher order uncertainty," IEEE Trans. Syst., Man, .Cybern. - Part A: Syst. Humans, May 1996.
38. H. E. Kyburg Jr. and M. Pittarelli, "Set-based Bayesianism," IEEE Trans. Syst., Man, Cybern. - Part A: Syst. Humans, vol. 26, pp. 324-339, May 1996.
39. _, "Bayesian and non-Bayesian evidential updating," Artif. Intell., vol. 31, pp. 271-293, 1987.
40. P. L. Combettes, "The foundations of set theoretic estimation," Proc. IEEE, vol. 18, pp. 181-208, Feb. 1993.
41. J. M. Maciejowski, Multivariable Feedback Design. Reading, MA: Addison-Wesley, 1989.
42. H. Huang, "Asymptotic tracking and disturbance rejection in uncertain nonlinear systems," IEEE Trans. Automat. Contr., vol. 40, pp. 1118-1122, June 1995.
43. A. C. Teng, "Robust optimal design for dynamic and feedback control systems - With an emphasis on structured uncertainties," Ph.D. dissertation, Brigham Young Univ., Provo, UT, Apr. 1992.
44. M. A. Goodrich and E. R. Boer, "Semiotics and mental models: Modeling automobile driver behavior," in Proc. Joint Conf. Sci. Technol. Intell. Syst. ISIC/CIRA/ISAS'98, Gaithersburg, MD, Sept. 1998.
45. P. C. Fishburn, Subjective expected utility: A review of normative theories," Theory Decision, vol. 13, pp. 139-199, 1981.
46. D. Driankov, H. Hellendoorn, and M. Reinfrank, An Introduction to Fuzzy Control, 2nd ed. New York: Springer-Verlag, 1996.
47. G. C. Mouzouris and J. M. Mendel, "Nonsingleton fuzzy logic systems: Theory and applications," IEEE Trans. Fuzzy Syst., vol. 5, pp. 56-71, Feb. 1997.
48. T. Lotan, "Modeling discrete choice behavior based on explicit information integration and its application to the route choice problem," IEEE Trans. Syst., Man, Cybern. - Part A: Syst. Humans, vol. 28, pp. 100-114, Jan. 1998.
49. L. Ljung, System Identification: Theory for the User. Englewood Cliffs, NJ: Prentice-Hall, 1987.
50. R. T. Bupp, D. S. Bernstein, and V. C. Coppola, "A benchmark problem for nonlinear control design: problem statement, experimental testbed, and passive nonlinear compensation," presented at ACC, Seattle, WA, June 1995.
51. Z.-P. Jiang, D. J. Hill, and J. Guo, "Stabilization and tracking via output feedback for the nonlinear benchmark system," Automatica, vol. 34, no. 7, pp. 907-915, 1998.
52. J. Kim, Y. Moon, and B. P. Zeigler, "Designing fuzzy net controllers using genetic algorithm," IEEE Trans. Contr. Syst., vol. 15, pp. 66-72, 1995.
53. M. deSylva and J. Vagners, "Hybrid fuzzy logic control to stabilize an inverted pendulum from arbitrary initial conditions," in 10th IEEE Int. Symp. Intell. Contr., Monterey, CA, 1995.