Use of adaptive networks in fuzzy control of civil structures

Microcomputers in Civil Engineering

Volumn 11, Issue 1, 1996, Pages 67-76

  Faravelli, Lucia ^a   Yao, Timothy ^a  

^a UNIVERSITY OF PAVIA   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; FORCE CONTROL; FUZZY CONTROL; INFERENCE ENGINES; OPTIMIZATION; STRUCTURAL LOADS; STRUCTURES (BUILT OBJECTS); VIBRATION CONTROL;

ADAPTIVE NETWORKS; CIVIL STRUCTURES; FUZZY INFERENCE;

STRUCTURAL DESIGN;

EID: 0029734729     PISSN: 08859507     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (17)

1. Casciati, F. & Faravelli, L., Fragility Analysis of Complex Structural Systems, Research Studies Press, Taunton, England 1991.
2. Casciati, F., Faravelli, L. & Yao, T., Fuzzy control of civil structures subjected to earthquake loading. In Proceedings of EUFIT'94 (2nd European Congress on Intelligent Techniques and Soft Computing), Aachen, Germany, Vol. 2, 1994, pp. 1050-4.
3. Casciati, F., Faravelli, L. & Yao, T., Application of fuzzy logic to active structural control. In Proceedings of the 2nd European Conference on Smart Structures and Materials, A. McDonach, P. T. Gardiner, R. S. McEwen & B. Culshaw, eds., Glasgow, SPIE, Vol. 2367, 1994, pp. 206-9.
4. Casciati, F., Faravelli, L. & Yao, T., Control of nonlinear structures using the fuzzy control approach, Nonlinear Dynamics (submitted).
5. Faravelli, L. & Yao, T., Application of an adaptive-network-based fuzzy inference system (ANFIS) to active structural control. In Proceedings of the First World Conference on Structural Control, Pasadena, California, 3-5 August, 1994.
6. Housner, G. W. & Masri, S. F. (eds.), Proceedings of International Workshop on Structural Control, University Southern California CE-9311, 1993.
7. Jang, J.-S. R., ANFIS: Adaptive-network-based fuzzy inference system, IEEE Transactions on Systems, Man and Cybernetics (1992).
8. Lee, C. C., Fuzzy logic in control systems: Fuzzy logic controller, parts 1 and 2, IEEE Transactions on Systems, Man and Cybernetics, 20 (2) (1990), 404-35.
9. Lotfi, A., Fuzzy Inference Systems Toolbox for MATLAB (FISMAT), Department of Electrical and Computer Engineering, University of Queensland, 1994.
10. Nauck, D. & Kruse, R., Choosing appropriate neuro-fuzzy models. In Proceedings of EUFIT'94 (2nd European Congress on Intelligent Techniques and Soft Computing), Aachen, Germany, Vol. 1, 1994, pp. 552-7.
11. Reinhorn, A. M., Nagarajaiah, S., Subramaniam, R. & Riley, M. A., Study of hybrid control of structural and nonstructural systems. In Proceedings of International Workshop on Structural Control, G. W. Housner and S. F. Masri, eds., University Southern California CE-9311, 1993, 405-16.
12. Runkler, T. A. & Glesner, M., DECADE: Fast centroid approximation defuzzification for real time fuzzy control applications. In ACM Symposium on Applied Computing (SAC'94), Phoenix, AZ, 1994.
13. Soong, T. T., Active Structural Control: Theory and Practice, Longman Scientific and Technical, London, 1990.
14. Takagi, T. & Sugeno, M., Derivation of fuzzy control rules from human operator's control actions. In Proceedings of the IFAC Symposium on Fuzzy Information, Knowledge Representation and Decision Analysis, 1983, 55-60.
15. Wen, Y. K., Equivalent linearization for hysteretic systems under random excitations, Journal of Applied Mechanics, 47 (1) (1980), 150-4.
16. Wolf, T., Optimization of fuzzy systems using neural networks and genetic algorithms. In Proceedings of EUFIT'94 (2nd European Congress on Intelligent Techniques and Soft Computing), Aachen, Germany, Vol. 1, 1994, 544-51.
17. Yao, J. T.-P., Concept of structural control, Journal of the Structural Division, ASCE, 98 (7) (1972), 1567-74.