Multisensor information management by methods of probability and fuzzy logic

A. A. Petrin

Tóm tắt

The paper examines the basic definitions and concepts of probabilistic and fuzzy set methods applied to transform information in multi-sensor measuring and monitoring systems; in particular, their use in dealing with sensor information in mobile systems.

Tài liệu tham khảo

Siciliano, B. and Khatib, O., Springer Handbook of robotics, Heidelberg: Springer, 2008. Berger, J.O., Statistical Decision Theory and Bayesian Analysis, Heidelberg: Springer, 1985. Elfes, A., Sonar-Based Real-World Mapping and Navigation, IEEE Trans. Robot Autom., 1987, vol. 3, no. 3, pp. 249–265. Elfes, A. Integration of Sonar and Stereo Range Data Using a Grid-Based Representation, Proc. IEEE Int. Conf. Robot. Autom., 1988, pp. 727–738. Stone, L.D., Barlow, C.A., and Corwin, T.L., Bayesian Multiple Target Tracking, Norwood: Artech House, 199. Bar-Shalom, Y., Multi-Target Multi-Sensor Tracking, Norwood: Artech House, 1990. Bar-Shalom, Y. and Fortmann, T.E., Tracking and Data Association, New York: Academic, 1988. Maybeck, P.S., Stochastic Models, Estimation and Control, New York: Academic, 1979, vol. 1. Sorensen, W., Special Issue on the Application of the Kalman Filter, IEEE Trans. Autom. Control, 1983, vol. 28, no. 3, pp. 254–255. Anderson, B.D.O. and Moore, J.B., Optimal Filtering, Upper Saddle River: Prentice Hall, 1979. Manyiuka, J. and Durrant-Whyte, H.F., Data Fusion and Sensor Management: An Information-Theoretic Approach, Upper Saddle River: Prentice Hall, 1994. Sukkarieh, S., Nettleton, E., Kidley, M., et al., The ANSER Project: Data Fusion across Multiple Uninhibited Air Vehicles, Int. J. Robot. Res., 2003, vol. 22, no. 7, pp. 505–539. Sadeh, L.A., The Concept of a Linguistic Variable and Its Application to Approximate Reasoning, Moscow: Mir, 1976. Kofman, A., Introduction to the Theory of Fuzzy Sets, Moscow: Radio i Svyaz’, 1982. Yager, R.R., On the Measure of Fuzziness and Negation. Part 1. Membership in the Unit Interval, Int. J. Gen. Syst., 1979, vol. 5, pp. 221–229. Yager, R.R., On the Measure of Fuzziness and Negation. Part 2. Lattices, Inf. Control, 1980, vol. 44, no. 3. pp. 236–260. Yager, R.R., Robot Planning with Fuzzy Sets, Robotica, 1983, vol. 1, no. 1, pp. 41–50. De Luca, A. and Termini, S., On Convergence of Entropy Measure of a Fuzzy Set, Kybernetes, 1977, vol. 6, pp. 219–222. Higashi, M. and Klir, G.J., On Measure of fuzziness and Fuzzy Complement, Int. J. Gen. Syst., 1982, vol. 8, pp. 169–180. Fussy Sets in Models of Control and Artificial Intelligence, Pospelov, D.A., Ed., Moscow, 1986. Borisov, A.N., Alekseyev, A.V, et al., Processing of Fuzzy Information in Decision Systems, Moscow: Radio i Svyaz’, 1989.