Takagi-Sugeno model synthesis of a quasi-linear multiwheeled mobile robot

International Journal of Systems Science

Volumn 34, Issue 14-15, 2003, Pages 805-818

  Economou, J T ^a   Tsourdos, A ^a   White, B A ^a   Luk, P C K ^a  

^a CRANFIELD UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; BOUNDARY CONDITIONS; COMPUTER SIMULATION; CONTROL SYSTEM SYNTHESIS; FUZZY SETS; LINEAR CONTROL SYSTEMS; LINEARIZATION; LINGUISTICS; MATHEMATICAL MODELS; MEMBERSHIP FUNCTIONS; POLYNOMIALS;

MULTIWHEELED MOBILE ROBOT; QUASI LINEAR TIME INVARIANT SYSTEM; SUBTRACTIVE CLUSTERING; TAKAGI-SUGENO MODEL SYNTHESIS;

MOBILE ROBOTS;

EID: 1642455864     PISSN: 00207721     EISSN: None     Source Type: Journal    
DOI: 10.1080/00207720310001640278     Document Type: Article

References (27)

1. Babuška, R., 1998, Fuzzy modelling: principles, methods and applications. In: Bonivento, C., Fantuzzi, C., and Rovatti, R. (eds), Fuzzy Logic Control-Advances in Methodology (Singapore: World Scientific), pp. 187-220.
2. Babuška, R., 1999, An overview of fuzzy modelling and model-based fuzzy control. In: Verbruggen, H. B., and Babuska, R. (eds), Fuzzy Logic Control-Advances in Applications (Singapore: World Scientific), pp. 3-35.
3. Barbier, C. E., Nogarede, B., and Meyer, H. L., 1996, Global control strategy optimisation of an asynchronous drive system for an electric vehicle. Control Engineering in Practice, 4, 1053-1066.
4. Chen, J. L., and Wang, J. H., 1999, A new robust clustering algorithm-density-weighted fuzzy C-means. In IEEE SMC '99. Proceedings of the IEEE Systems, Man, and Cybernetics, Vol. 3, pp. 90-94.
5. Chintalapudi, K. K., and Kam, M., 1998, A noise-resistance C-means algorithm for clustering. In: Proceedings of the IEEE Fuzzy Systems World Congress on Computational Intelligence, Vol. 2, pp. 1458-1463.
6. Chiu, S., 1994, Fuzzy model identification based on cluster estimation. Journal of Intelligent and Fuzzy Systems, 2(3), 267-278.
7. Chiu, S., 1996, Method and software for extracting fuzzy classification rules by subtractive clustering. In NAFIPS 1996, Proceedings of the Biennial Conference of the North America, Berkeley, CA, pp. 461-465.
8. Colyer, R. E., and Economou, J. T., 1997, Modelling and simulation of 4 × 4-wheeled skid-steered vehicles. In NOLTA'97, Proceedings of the International Symposium on Non-linear Theory and its Applications, Hawaii, pp. 301-304.
9. Colyer, R. E., and Economou, J. T., 1999, Soft modelling and fuzzy logic control of wheeled skid-streer electric vehicles with steering prioritisation. International Journal of Approximate Reasoning, 22, 31-52.
10. Economou, J. T., and Colyer, R. E., 2000, Modelling of skid steering and fuzzy logic vehicle ground interaction. In ACC 2000, Proceedings of the American Control Conference, Chicago, IL, pp. 100-104.
11. Faiz, J., Hossieni, S. H., Ghaneel, M., Keyhani, A., and Proca, A., 1999, Direct torque control of induction motors for electric propulsion systems. Journal of Electric Power Systems Research, 51, 95-101.
12. Fantuzzi, C., 1998, Bases of fuzzy control. In: Bonivento, C., Fantuzzi, C., and Rovatti, R. (eds), Fuzzy Logic Control-Advances in Methodology (Singapore: World Scientific), pp. 1-34.
13. Glat, T., and Ljung, L., 2000, Control Theory: Multivariable and Non-Linear Methods (London: Taylor & Francis).
14. Gustafson, D. E., and Kessel, W. C., 1979, Fuzzy clustering with a fuzzy covariance matrix. In CDC 1979, Proceedings of the IEEE Conference on Decision and Control, San Diego, CA, pp. 761-766.
15. Hori, Y., Toyada, Y., and Tsuruoka, Y., 1997, Traction control of electric vehicle based on the estimation of road surface condition-basic experimental results using the test EV. In IEEE Proceedings of the IEEE Power Conversion Conference, Nagaoka, pp. 1-8.
16. Kaymak, U., and Babuska, R., 1995, Compatible cluster merging for fuzzy modelling. In Proceedings of the IEEE International Conference on Fuzzy Systems, Japan, Vol. 2, pp. 897-904.
17. Miyamoto, S., 1998, An overview and new methods in fuzzy clustering. In Proceedings of the 2nd International Conference on Knowledge-Based Intelligent Electronic Systems, Australia, pp. 33-40.
18. Moore, K. L., Davidson, M., Bahl, V., Rich, S., and Jirgal, S., 2000, Modelling and control of a six-wheeled autonomous robot. In ACC 2000, Proceedings of the American Control Conference, Chicago, pp. 1483-1490.
19. Ogura, M., 1997, Development of electric vehicles. Journal of the Society of Automative Engineers Review, 18, 51-56.
20. Ollero, A., and Garca̧a-Cerezo, A., 1993, Design of fuzzy logic control systems. Application to tobotics. In Plenary Session. Proceedings of the European Workshop on Industrial Fuzzy Control and Applications, Spain.
21. Ollero, A., Ulivi, G., and Cuesta, F., 1999, Fuzzy logic applications in mobile robotics. In: Verbruggen, H. B., Zimmermann, H. J., and Babuska, R. (eds), Fuzzy Algorithms for Control (Dordsecht: Kluwer), pp. 301-324.
22. Sakai, S. I., Sado, H., and Hori, Y., 1999, New skid avoidance method for electric vehicle with independently controlled-4-In wheel motors. In Proceedings of IEEE ISIE Conference, Slovenia, pp. 934-939.
23. Setnes, M., 1999, Complexity reduction methods for fuzzy systems design. In: Verbruggen, H. B., and Babuska, R. (eds), Fuzzy Logic Control-Advances in Applications (Singapore: World Scientific), pp. 87-111.
24. Shen, Q., and Chouchoulas, A., 2001, Selection of features in transparent fuzzy modelling. In Proceedings of the 10th International IEEE Fuzzy Systems Conference. Australia, Vol. 1, pp. 51-54.
25. Shing, J., and Jang, R., 1993, ANFIS: adaptive-network-based fuzzy inference system. IEEE Transactions on Systems, Man and Cybernetics, 23, 665-685.
26. Sugeno, M, and Kang, G. T., 1986, Fuzzy modelling and control of multilayer incinerator. Transactions of Fuzzy Sets and Systems, 18, 329-346.
27. Tsourdos, A., Economou, J. T., and White, B. A., 2002, Adaptive pole placement for a MIMO quassi-linear parameter varying mobile robot. In ICARCV 2002, Proceedings of the 7th International Conference on Control, Automation, Robotics and Vision, Singapore, pp. 590-595.