메뉴 건너뛰기




Volumn 79, Issue 11, 2006, Pages 1527-1540

Monitoring techniques for an online neuro-adaptive controller

Author keywords

Adaptive system; Dynamic cell structure; Neural network; Run time monitoring; Support vector data description; Validity index

Indexed keywords

FUNCTION EVALUATION; LEARNING SYSTEMS; LYAPUNOV METHODS; NEURAL NETWORKS; ONLINE SYSTEMS; PATTERN MATCHING;

EID: 33748331224     PISSN: 01641212     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jss.2006.03.048     Document Type: Article
Times cited : (6)

References (26)
  • 1
    • 0001907967 scopus 로고    scopus 로고
    • Support vector machines: hype or hallelujah?
    • Bennet K., and Campbell C. Support vector machines: hype or hallelujah?. SIGKDD Explorations 2 2 (2000) 1-13
    • (2000) SIGKDD Explorations , vol.2 , Issue.2 , pp. 1-13
    • Bennet, K.1    Campbell, C.2
  • 2
    • 33748315528 scopus 로고    scopus 로고
    • Boyd, M.A., Schumann, J., Brat, G., Giannakopoulou, D., Cukic, B., Mili, A., 2001. Validation and verification process guide for software and neural nets. Technical report, NASA Ames Research Center.
  • 3
    • 0001311791 scopus 로고
    • Dynamic cell structure learns perfectly topology preserving map
    • Bruske J., and Sommer G. Dynamic cell structure learns perfectly topology preserving map. Neural Computation 7 4 (1995) 845-865
    • (1995) Neural Computation , vol.7 , Issue.4 , pp. 845-865
    • Bruske, J.1    Sommer, G.2
  • 4
    • 10044236730 scopus 로고    scopus 로고
    • Darrah, M., Taylor, B., Skias, S., 2004. Rule extraction from Dynamic CEll Structure neural networks used in a safety critical application. In: Proceedings of the 17th International Conference of the Florida Artificial Intelligence Research Society.
  • 5
    • 2942524043 scopus 로고    scopus 로고
    • Gupta, P., Schumann, J., 2004. A tool for verification and validation of neural network based adaptive controllers for high assurance systems. Proceedings of High Assurance Software Systems Engineering.
  • 6
    • 33748318843 scopus 로고    scopus 로고
    • Institute for Scientific Research, Inc., 2001. Dynamic cell structure neural network report for the Intelligent Flight Control System: a technical report. Document ID: IFC-DCSR-D002-UNCLASS-010401, January 2001.
  • 7
    • 33748315527 scopus 로고    scopus 로고
    • Jorgensen, C.C., 1991. Feedback linearized aircraft control using dynamic cell structures. World Automation Congress (ISSCI), Alaska 050.1-050.6.
  • 8
    • 0025489075 scopus 로고
    • The self-organizing map
    • Kohonen T. The self-organizing map. Proceedings of the IEEE 78 9 (1990) 1464-1480
    • (1990) Proceedings of the IEEE , vol.78 , Issue.9 , pp. 1464-1480
    • Kohonen, T.1
  • 10
    • 0028204732 scopus 로고
    • Topology representing networks
    • Martinetz T., and Schulten K. Topology representing networks. Neural Networks 7 3 (1994) 507-522
    • (1994) Neural Networks , vol.7 , Issue.3 , pp. 507-522
    • Martinetz, T.1    Schulten, K.2
  • 12
    • 0344576583 scopus 로고    scopus 로고
    • Towards the verification and validation of on-line learning adaptive systems
    • Kluwer Scientific Publishing
    • Mili A., Cukic B., Liu Y., and Ayed B.Y. Towards the verification and validation of on-line learning adaptive systems. Computational Methods Software Engineering (2003), Kluwer Scientific Publishing
    • (2003) Computational Methods Software Engineering
    • Mili, A.1    Cukic, B.2    Liu, Y.3    Ayed, B.Y.4
  • 13
    • 33748324151 scopus 로고    scopus 로고
    • Mladenovski, M., Information fusion schemes for realtime risk assessment in adaptive control systems. M.S. Thesis, Lane Department of Computer Science and Electrical Engineering, West Virginia University.
  • 15
    • 0032048262 scopus 로고    scopus 로고
    • Dempster-Shafer theory for sensor fusion in autonomous mobile robots
    • Murphy R.R. Dempster-Shafer theory for sensor fusion in autonomous mobile robots. IEEE Transactions on Robotics and Automation 14 2 (1998) 197-206
    • (1998) IEEE Transactions on Robotics and Automation , vol.14 , Issue.2 , pp. 197-206
    • Murphy, R.R.1
  • 16
    • 0003206275 scopus 로고    scopus 로고
    • A complete hardware package for a fault tolerant flight control system using online learning neural networks
    • Napolitano M., Molinaro G., Innocenti M., and Martinelli D. A complete hardware package for a fault tolerant flight control system using online learning neural networks. IEEE Control Systems Technology (1998)
    • (1998) IEEE Control Systems Technology
    • Napolitano, M.1    Molinaro, G.2    Innocenti, M.3    Martinelli, D.4
  • 17
    • 33748287758 scopus 로고    scopus 로고
    • NASA guidebook for safety critical software, 1996. Technical Report, NASA-GB-1740.13-96.
  • 18
    • 0032634225 scopus 로고    scopus 로고
    • Multisensor data fusion using fuzzy concepts: application to land-cover classification using ERS-1/JERS-1 SAR composites
    • Solaiman B., Pierce L.E., and Ulaby F.T. Multisensor data fusion using fuzzy concepts: application to land-cover classification using ERS-1/JERS-1 SAR composites. IEEE Transactions on Geoscience and Remote Sensing 37 3 (1999)
    • (1999) IEEE Transactions on Geoscience and Remote Sensing , vol.37 , Issue.3
    • Solaiman, B.1    Pierce, L.E.2    Ulaby, F.T.3
  • 19
    • 0033220728 scopus 로고    scopus 로고
    • Support vector domain description
    • Tax D.M.J., and Duin R.P.W. Support vector domain description. Pattern Recognition Letters 20 11-13 (1999) 1191-1199
    • (1999) Pattern Recognition Letters , vol.20 , Issue.11-13 , pp. 1191-1199
    • Tax, D.M.J.1    Duin, R.P.W.2
  • 21
    • 33748297116 scopus 로고    scopus 로고
    • Tax, D.M.J., Duin, R.P.W., 2001. Outliers and data descriptions. In: Proceedings of the Seventh Annual Conference of the Advanced School for Computing and Imaging, pp. 234-241.
  • 23
    • 33748334747 scopus 로고    scopus 로고
    • Yerramalla, S., Cukic, B., Fuller, E., 2003. Lyapunov analysis of neural network stability in an adaptive flight control system. In: Proceedings of the Sixth Symposium on Self-Stabilizing Systems.
  • 24
    • 27544450504 scopus 로고    scopus 로고
    • Yerramalla, S., Cukic, B., Mladenovski, M., Fuller, E., 2005. Stability monitoring and analysis of learning in adaptive systems. In: Proceedings of Dependable Systems and Networks 2005.
  • 25
    • 0030717105 scopus 로고    scopus 로고
    • Zhou, Y., Leung, H., 1997. Minimum entropy approach for multisensor data fusion. In: Proceedings of IEEE Signal Processing Workshop on Higher Order Statistics (SPW-HOS '97).
  • 26
    • 33748310185 scopus 로고    scopus 로고
    • Zubov, V.I., 1964. Methods of A.M. Lyapunov and their applications. P. Noordho, Groningen, The Netherlands.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.