Abstract
Fuzzy-logic systems have been successfully developed for many industrial applications. These systems seek to emulate the type of reasoning that humans perform when solving complex tasks.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
H. R. Berenji. Fuzzy logic controllers. In R. R. Yager and L.A. Zadeh, editors, An Introduction to Fuzzy Logic Applications in Intelligent Systems, pages 69–96, Kluwer Academic Publishers, 1991.
H. R. Berenji. On the integration of reinforcement learning and approximate reasoning for control. In American Control Conference, pages 1900–1904, Brighton, England, 1991.
H.R. Berenji. An architecture for designing fuzzy controllers using neural networks. International Journal of Approximate Reasoning, 6(2):267–292, February 1992.
H.R. Berenji. Fuzzy and neural control. In P.J. Antsaklis and K. M. Passino, editors, An Introduction to Intelligent and Autonomous Control. Elsevier, North-Holland, 1992.
H.R. Berenji. Fuzzy Reinforcement Learning and Dynamic Programming. In International joint Conference on Artificial Intelligence, workshop on Fuzzy Logic Control, Chambery, France, August 1993.
H.R. Berenji. Fuzzy Q-Learning: A new approach for Fuzzy Dynamic Programming problems. In Third IEEE International conference on Fuzzy Systems, Orlando, FL, June 1994.
H.R. Berenji, Y.Y. Chen, C.C. Lee, J.S. Jang, and S. Murugesan. A hierarchical approach to designing approximate reasoning-based controllers for dynamic physical systems. In P.P. Bonissone, M. Henrion, L.N. Kanal, and J. Lemmer, editors, Uncertainty in Artificial Intelligence: Volume VI, in the series Machine Intelligence and Pattern Recognition, pages 331–343. Elsevier, North-Holland, 1991.
H.R. Berenji and P. Khedkar. Learning and tuning fuzzy logic controllers through reinforcements. IEEE Transactions on Neural Networks, 3(5), 1992.
H.R. Berenji and P. Khedkar. Fuzzy rules for guiding reinforcement learning. In IPMU, Palma de Mallorca, Spain, July 1992.
H.R. Berenji and P. Khedkar. Using fuzzy logic for performance evaluation in reinforcement learning. Technical Report FIA-92–28, AI Research Branch, July 1992.
H.R. Berenji and P. Khedkar. Clustering in product space for fuzzy inference. In Second IEEE International conference on Fuzzy Systems, San Francisco, CA, March 1993.
H.R. Berenji, R.N Lea, Y. Jani, A. Malkani, and J. Hoblit. A learning fuzzy logic controller for the space shuttle’s orbital operations. Technical Report FIA-92–30, AI Research Branch, October 1993.
H.R. Berenji, Y. Jani R.N Lea, P. Khedkar, A. Malkani, and J. Hoblit. Space shuttle attitude control by fuzzy logic and reinforcement learning. In Second IEEE International conference on Fuzzy Systems, San Francisco, CA, March 1993.
J.S. Jang. Self-learning fuzzy controllers based on temporal back propagation. IEEE Transactions on Neural Networks, 3(5), 1992.
R. Langari and H.R. Berenji. Fuzzy logic in control engineering. In David White and Donald Sofege, editors, Handbook of Intelligent Control, pages 93–140. Van Nostrand, 1992.
R. Lea, R. H. Fritz, J. Giarratano, and Y. Jani. Fuzzy logic control for camera tracking system. In 8th International Congress of Cybernetics and Systems, New York, NY, June 1990.
R. Lea, J. Hoblit, and Y. Jani. Performance comparison of a fuzzy logic based attitude controller with the shuttle on-orbit digital auto pilot. In North American Fuzzy Information Processing Society, Columbia, Missouri, May 1991.
R. Lea, J. Villarreal, Y. Jani, and C. Copeland. Learning characteristics of a space-time neural network as a tether skiprope observer. In North American Fuzzy Information Processing Society, pages 154–165, Puerto Vallarta, Mexico, December 1992.
C.C. Lee and H.R. Berenji. An intelligent controller based on approximate reasoning and reinforcement learning. In Proc. of IEEE Int. Symposium on Intelligent Control, Albany, NY, 1989.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1994 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Berenji, H.R. (1994). Applications of Fuzzy Logic and Soft Computing in Space. In: Reusch, B. (eds) Fuzzy Logik. Informatik aktuell. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-79386-8_27
Download citation
DOI: https://doi.org/10.1007/978-3-642-79386-8_27
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-58649-4
Online ISBN: 978-3-642-79386-8
eBook Packages: Springer Book Archive