{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,5]],"date-time":"2024-09-05T08:28:18Z","timestamp":1725524898670},"publisher-location":"Dordrecht","reference-count":18,"publisher":"Springer Netherlands","isbn-type":[{"type":"print","value":"9781402098222"},{"type":"electronic","value":"9781402098239"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"DOI":"10.1007\/978-1-4020-9823-9_15","type":"book-chapter","created":{"date-parts":[[2009,2,17]],"date-time":"2009-02-17T05:58:58Z","timestamp":1234850338000},"page":"203-216","source":"Crossref","is-referenced-by-count":0,"title":["Comining Quantitative and Qualitative Models with Active Observtions to Improve Diagnosis of Complex Systems"],"prefix":"10.1007","author":[{"given":"Gerald","family":"Steinbauer","sequence":"first","affiliation":[]},{"given":"Franz","family":"Wotawa","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"2","key":"15_CR1","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/S0004-3702(99)00034-X","volume":"111","author":"G. Friedrich","year":"1999","unstructured":"Friedrich G., Stumptner M., and Wotawa F., Model-based diagnosis of hardware designs. Artificial Intelligence, 111(2):3\u201339 (1999).","journal-title":"Artificial Intelligence"},{"issue":"1","key":"15_CR2","doi-asserted-by":"publisher","first-page":"37","DOI":"10.1007\/s10846-006-9102-0","volume":"48","author":"M. Hofbaur","year":"2007","unstructured":"Hofbaur M., K\u00f6b J., Steinbauer G., and Wotawa F., Improving robustness of mobile robots using model-based reasoning. Journal of Intelligence and Robotic Systems, 48(1):37\u201354 (2007).","journal-title":"Journal of Intelligence and Robotic Systems"},{"key":"15_CR3","unstructured":"Steinbauer G. and Wotawa F., Detecting and locating faults in the control software of autonomous mobile robots. In 19th International Joint Conference on Artificial Intelligence (IJCAI-05), pp. 1742\u20131743 (2005)."},{"key":"15_CR4","unstructured":"K\u00f6b D. and Wotawa F., Introducing alias information into model-based debugging. In Ramon Lopez de Mantaras and Lorenza Saitta, editors, Proceedings of the 16th Eureopean Conference on Artificial Intelligence, ECAI\u20192004, pp. 833\u2013837 (2004). IOS Press."},{"issue":"4","key":"15_CR5","first-page":"17","volume":"24","author":"P. Struss","year":"2004","unstructured":"Struss P. and Price C., Model-based systems in the automotive industry. AI Magazine, 24(4):17\u201334 (2004).","journal-title":"AI Magazine"},{"issue":"1","key":"15_CR6","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1016\/S0004-3702(98)00068-X","volume":"103","author":"N. Muscettola","year":"1998","unstructured":"Muscettola N., Nayak P., Pell B., and Williams B., Remote agent: To boldly go where no AI system has gone before. Artificial Intelligence, 103(1\u20132):5\u201348 (1998).","journal-title":"Artificial Intelligence"},{"issue":"1","key":"15_CR7","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1016\/0004-3702(87)90062-2","volume":"32","author":"R. Reiter","year":"1987","unstructured":"Reiter R., A theory of diagnosis from first principles. Artificial Intelligence, 32(1):57\u201395 (1987).","journal-title":"Artificial Intelligence"},{"key":"15_CR8","unstructured":"Hamscher W., Console L., and de Kleer J., Readings in Model-Based Diagnosis. Morgan Kaufmann, San Mate. (1992)."},{"key":"15_CR9","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1115\/1.3662552","volume":"82","author":"R. Kalman","year":"1960","unstructured":"Kalman R., A new approach to linear filtering and prediction problems. ASME Transactions, Journal of Basic Engineering, 82:35\u201350 (1960).","journal-title":"ASME Transactions, Journal of Basic Engineering"},{"key":"15_CR10","unstructured":"Anderson B. and Moore J., Optimal Filtering. Information and System Sciences Series. Prentice Hall, Englewood Cliffs (1979)."},{"issue":"5","key":"15_CR11","doi-asserted-by":"publisher","first-page":"639","DOI":"10.1016\/S0967-0661(97)00046-4","volume":"5","author":"R. Isermann","year":"1997","unstructured":"Isermann R., Supervision, fault-detection and fault-diagnosis methods - an introduction. Control Engineering Practice, 5(5):639\u2013652 (1997).","journal-title":"Control Engineering Practice"},{"key":"15_CR12","doi-asserted-by":"crossref","unstructured":"Chen J. and Patton R., Robust Model-Based Fault Diagnosis for Dynamic Systems. Kluwer, Dordrecht (1999).","DOI":"10.1007\/978-1-4615-5149-2"},{"key":"15_CR13","unstructured":"Dearden R. and Clancy D., Particle filters for real-time fault detection in planetary rovers. In Proceedings of the 13th International Workshop on Principles of Diagnosis, pages 1 \u2013 6 (2002)."},{"issue":"2","key":"15_CR14","doi-asserted-by":"publisher","first-page":"56","DOI":"10.1109\/MRA.2004.1310942","volume":"11","author":"V. Verma","year":"2004","unstructured":"Verma V., Gordon G., Simmons R., and Thrun S., Real-time fault diagnosis. IEEE Robotics & Automation Magazine, 11(2):56 \u2013 66 (2004).","journal-title":"IEEE Robotics & Automation Magazine"},{"key":"15_CR15","doi-asserted-by":"crossref","unstructured":"Roos N., ten Teije A., Bos A., and Witteveen C., Multi-agent diagnosis with spatially distributed knowledge. In Proceedings of the Belgium-Netherlands Artificial Intelligence Conference (BNAIC), pp 275\u2013282 (2002).","DOI":"10.1145\/860680.860681"},{"key":"15_CR16","unstructured":"de Kleer J., Getting the probabilities right for measurement selection. In 17th InternationalWorkshop on Principles of Diagnosis (DX-06), pp 141\u2013146 (2006)."},{"key":"15_CR17","volume-title":"Hybrid Estimation of Complex Systems, volume 319 of Lecture Notes in Control and Information Sciences","author":"M. Hofbaur","year":"2005","unstructured":"Hofbaur M., Hybrid Estimation of Complex Systems, volume 319 of Lecture Notes in Control and Information Sciences. Springer Verlag, New York (2005)."},{"key":"15_CR18","doi-asserted-by":"crossref","unstructured":"Drolet L., Michaud F., and Cote J., Adaptable sensor fusion using multiple kalman filters. In Proceedings IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS). (2000).","DOI":"10.1109\/IROS.2000.893222"}],"container-title":["Lecture Notes in Electrical Engineering","Intelligent Technical Systems"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-1-4020-9823-9_15.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,4,30]],"date-time":"2021-04-30T19:33:55Z","timestamp":1619811235000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-1-4020-9823-9_15"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[null]]},"ISBN":["9781402098222","9781402098239"],"references-count":18,"URL":"https:\/\/doi.org\/10.1007\/978-1-4020-9823-9_15","relation":{},"ISSN":["1876-1100","1876-1119"],"issn-type":[{"type":"print","value":"1876-1100"},{"type":"electronic","value":"1876-1119"}],"subject":[]}}