{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2022,3,30]],"date-time":"2022-03-30T04:04:34Z","timestamp":1648613074736},"reference-count":11,"publisher":"Springer Science and Business Media LLC","issue":"3","license":[{"start":{"date-parts":[[1994,9,1]],"date-time":"1994-09-01T00:00:00Z","timestamp":778377600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[1994,9]]},"DOI":"10.1007\/bf01415007","type":"journal-article","created":{"date-parts":[[2005,4,3]],"date-time":"2005-04-03T14:30:33Z","timestamp":1112538633000},"page":"120-128","source":"Crossref","is-referenced-by-count":2,"title":["Control surface failure detection and accommodation using neuro-controllers"],"prefix":"10.1007","volume":"2","author":[{"given":"K.","family":"KrishnaKumar","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"suffix":"Jr.","given":"R.","family":"Lattus","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"key":"BF01415007_CR1","doi-asserted-by":"crossref","unstructured":"Gertler JJ. Survey of model-based failure detection and isolation in complex plants. IEEE Contr Syst Mag 1988; December","DOI":"10.1109\/37.9163"},{"key":"BF01415007_CR2","unstructured":"Stengel RF. Intelligent failure-tolerant control. IEEE Cont Syst Mag 1991; June"},{"key":"BF01415007_CR3","doi-asserted-by":"crossref","unstructured":"Rauch EH, Kline-Schoder RJ, Adams JC, Youssef HM. Fault detection, isolation, and reconfiguration for aircraft using neural network. In: Proceedings 1993 AIAA Guidance, Navigation, and Control Conference, pp. 1527\u20131537","DOI":"10.2514\/6.1993-3870"},{"key":"BF01415007_CR4","doi-asserted-by":"crossref","unstructured":"Narendra KS, Parathasarsthy K. Identification and control of dynamic systems using neural networks. IEEE Trans Neural Net 1990; March","DOI":"10.1109\/72.80202"},{"key":"BF01415007_CR5","unstructured":"Smith JC, Walters RV, Jex HR, Alphonso BL. Application of an adaptive clustering network to light control of a fighter aircraft. National Information Technical Service #92-18842, 19 December 1991"},{"key":"BF01415007_CR6","unstructured":"Bishop T, Grennwood D, Shew K, Stevenson F. Space shuttle main engine fault detection using neural networks. In: Proceedings of the Second Joint Technology Workshop on Neural Networks and Fuzzy Logic, 1991, NITS #N91-20816."},{"key":"BF01415007_CR7","doi-asserted-by":"crossref","first-page":"1550","DOI":"10.1109\/5.58337","volume":"78","author":"PJ Werbos","year":"1990","unstructured":"Werbos PJ. Back-propagation through time: what it does and how to do it. In: Proceedings IEEE 1990; 78: 1550\u20131560","journal-title":"Proceedings IEEE"},{"key":"BF01415007_CR8","first-page":"67","volume-title":"Neural Networks for Control","author":"PJ Werbos","year":"1990","unstructured":"Werbos PJ. A menu of designs for reinforcement learning over time. In: Neural Networks for Control, MIT Press, Cambridge, MA, 1990, p. 67"},{"key":"BF01415007_CR9","first-page":"9","volume":"3","author":"RS Sutton","year":"1988","unstructured":"Sutton RS. Learning to predict the method of temporal differences. Machine Learning 1988; 3:9\u201344","journal-title":"Machine Learning"},{"issue":"1","key":"BF01415007_CR10","doi-asserted-by":"crossref","first-page":"157","DOI":"10.2514\/3.20617","volume":"14","author":"L Valavani","year":"1991","unstructured":"Valavani L, Voulgaris P. High performance linear-quadratic and hi-infinity designs for a \u2018super-manoeuverable\u2019 aircraft. J Guidance, Contr Dynamics 1991;14(1) 157\u2013165","journal-title":"J Guidance, Contr Dynamics"},{"key":"BF01415007_CR11","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/0925-2312(93)90041-Z","volume":"5","author":"K KrishnaKumar","year":"1993","unstructured":"KrishnaKumar K. Optimization of the neural net connectivity pattern using a back-propagation algorithm. J Neurocomput 1993; 5: 1\u201314","journal-title":"J Neurocomput"}],"container-title":["Neural Computing &amp; Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/BF01415007.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/BF01415007\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/BF01415007","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/BF01415007.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,2,17]],"date-time":"2020-02-17T21:30:24Z","timestamp":1581975024000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/BF01415007"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1994,9]]},"references-count":11,"journal-issue":{"issue":"3","published-print":{"date-parts":[[1994,9]]}},"alternative-id":["BF01415007"],"URL":"https:\/\/doi.org\/10.1007\/bf01415007","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[1994,9]]}}}