Optimization issues in predictive control with fuzzy objective functions

International Journal of Intelligent Systems

Volumn 15, Issue 9, 2000, Pages 879-899

  Sousa, J M ^a  

^a INSTITUTO SUPERIOR TÉCNICO   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; CONTROL SYSTEM ANALYSIS; DECISION MAKING; FUZZY CONTROL; FUZZY SETS; MATHEMATICAL MODELS; OPTIMAL CONTROL SYSTEMS;

OBJECTIVE FUNCTIONS;

PREDICTIVE CONTROL SYSTEMS;

EID: 0034276146     PISSN: 08848173     EISSN: None     Source Type: Journal    
DOI: 10.1002/1098-111X(200009)15:9<879::AID-INT4>3.0.CO;2-9     Document Type: Article

References (24)

1. Richalet J. Industrial applications of model based predictive control. Automatica 1993, 29:1251-1274.
2. Camacho EF, Bordons C. Model predictive control in the process industry. London: Springer-Verlag; 1995.
3. Bellman RE, Zadeh LA. Decision making in a fuzzy environment. Management Sci 1970; 17(4):141-164.
4. Gill PE, Murray W, Wright MH. Practical Optimization. New York/London: Academic; 1981.
5. Neider JA, Mead R. A simplex method for function minimization. Comput J 1965; 7:308-313.
6. Sousa, JM, Kaymak U, Bruijn PM, Verbruggen HB. Branch-and-bound optimization in predictive control with fuzzy decision functions. In Proceedings of IFAC International Workshop on Artificial Intelligence in Real-Time Control-AIRTC'97, Kuala Lumpur, Malaysia, 1997. p 481-486.
7. Clarke DW, Mohtadi C, Tuffs PS. Generalised predictive control, part 1: The basic algorithms, part 2: Extensions and interpretations. Automatica 1987; 23:137-160.
8. Klir GJ, Yuan B. Fuzzy sets and fuzzy logic: theory and applications. Einglewood Cliffs, NJ: Prentice-Hall; 1995.
9. Zimmermann H-J, Zysno P. Latent connectives in human decision making. Fuzzy Sets Systems 1980; 4:37-51.
10. Kaymak U, van Nauta Lemke HR. A parametric generalized goal function for fuzzy decision making with unequally weighted objectives. (Ex Ref. [9]) In Proceedings of the Second IEEE International Conference on Fuzzy Systems, March 1993; Vol 2, pp 1156-1160.
11. Sousa JM. A Fuzzy Approach to Model-Based Control; Ph.D. dissertation; Delft University of Technology: Delft, The Netherlands, 1998.
12. Yager RR. On a general class of fuzzy connectives. Fuzzy Sets Systems 1980; 4:235-242.
13. Sousa JM, Kaymak U, Verhaegen M, Verbruggen HB. Convex optimization in fuzzy predictive control. (Ex Ref. [20]) In Proceedings of CDC'96 - 35th IEEE Conference on Decision and Control, Kobe, Japan, 1996. p 2735-2740.
14. Sousa JM, Babuška R, Verbruggen HB. Branch-and-bound optimization in fuzzy predictive control: an application to an air conditioning system. Control Eng Practice 1997; 3:1395-1406.
15. Lawler EL, Wood ED. Branch-and-bound methods: A survey. J Operations Res 1966; 14:699-719.
16. Mitten LG. Branch-and-bound methods: General formulation and properties. J Operations Res 1970; 18:24-34.
17. Horowitz E, Sahni S. Fundamentals of Computer Algorithms. Maryland: Computer Science Press; 1978.
18. Sousa JM, Babuška R, Verbruggen HB. Some computational issues in fuzzy predictive control. (Ex Ref. [17]) In Proceedings IFAC International Workshop on Artificial Intelligence in Real-Time Control - AIRTC'95, Bled, Slovenia, 1995. p 66-70.
19. Chen X, Bushnell M. Efficient Branch and Bound Search with Applications to Computer-Aided Design. Boston/Dordrecht/London: Kluwer; 1996.
20. Takagi T, Sugeno M. Fuzzy identification of systems and its application to modeling and control. IEEE Trans Systems Man Cybernet 1985; 15:116-132.
21. Babuska R, Verbruggen HB. Fuzzy set methods for local modeling and identification. In: Murray-Smith R, Johansen TA, editors. Multiple Model Approaches to Nonlinear Modeling and Control. London: Taylor & Francis; 1997. p 75-100.
22. Kaymak U, Sousa JM, Verbruggen HB. Influence of decision functions in fuzzy predictive control. (Ex Ref. [8]) In Proceedings of 4th European Congress on Fuzzy and Intelligent Technologies, EUFIT'96, Aachen, Germany, 1996. p 990-994.
23. te Braake HAB. Neural Control of Biotechnological Processes; Ph.D. dissertation: Delft University of Technology: Delft, The Netherlands, 1997.
24. Sousa JM, Babuska R, Bruijn PM, Verbruggen HB. Fuzzy compensation of steady-state errors in nonlinear control systems. (Ex Ref. [16]) In Proceedings of 4th European Congress on Fuzzy and Intelligent Technologies, EUFIT'96, Aachen, Germany, 1996. p 946-950.