{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,4]],"date-time":"2025-03-04T05:58:18Z","timestamp":1741067898608,"version":"3.38.0"},"reference-count":17,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[1989,10,1]],"date-time":"1989-10-01T00:00:00Z","timestamp":623203200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["SIMULATION"],"published-print":{"date-parts":[[1989,10]]},"abstract":"<jats:p> The flight control system proposed for future Boeing commercial airplanes is a Fly-By-Wire (FBW) system. The entirely electronic FBW system will replace the mechanical cable\/quadrant\/pushrod system used on earlier airplanes. The FB W system, also called an Electronic Flight Control System (EFCS), must meet extremely high standards of integrity and reliabil ity. The heart of the FBW concept is the use of redundant, dissimilar computing and communication channels. <\/jats:p><jats:p> Predicting the performance of such a system is beyond the capabilities of conventional simulation and control system design methods. Moreover, the number of independent, random parameters in the system makes straight forward Monte Carlo analysis prohibitively expensive. This paper describes the simulation methods used to model the EFCS, and the use of statistically designed experiments to extract more infor mation about the performance of the EFCS with a smaller number of simulation runs than is possible with a less structured approach. The results of the analysis defined the performance of the EFCS, especially the tails of the distribu tions of the performance measures, with much greater confidence than could have been gained by more conventional methods. <\/jats:p>","DOI":"10.1177\/003754978905300404","type":"journal-article","created":{"date-parts":[[2008,3,29]],"date-time":"2008-03-29T17:23:43Z","timestamp":1206811423000},"page":"159-167","source":"Crossref","is-referenced-by-count":2,"title":["On Fly-by-Wire Control System and statistical analysis of system performance"],"prefix":"10.1177","volume":"53","author":[{"given":"Ronald A.","family":"Hammond","sequence":"first","affiliation":[{"name":"Boeing Computer Services P.O. Box 24346, MS 7L-22 Seattle, Washington 98124-0346"}]},{"given":"David S.","family":"Newman","sequence":"additional","affiliation":[{"name":"Boeing Computer Services P.O. Box 24346, MS 7L-22 Seattle, Washington 98124-0346"}]},{"given":"Y.C.","family":"Yeh","sequence":"additional","affiliation":[{"name":"Boeing Commercial Airplanes P.O. Box 3707, MS 77-22 Seattle, Washington 98124"}]}],"member":"179","published-online":{"date-parts":[[1989,10,1]]},"reference":[{"volume-title":"Ninth AIAA\/IEEE Digital Avionics System Conference","author":"R.J. Bleeg","key":"atypb1"},{"key":"atypb2","unstructured":"Boeing Computer Services, EASY5 Reference Manual. \u00a9 The Boeing Company, December 1987."},{"volume-title":"AIAA Guidance and Control Conference","author":"M.M.K.V. Sankrithi","key":"atypb3"},{"volume-title":"Seventh AIAA\/ IEEE Digital Avionics System Conference","author":"J.L. Shaw","key":"atypb4"},{"key":"atypb5","unstructured":"AFWAL-TR-81-3109, \"Background Information for MIL-F-8785C : Military Specification \u2014 Flying Qualities of Piloted Airplanes.\""},{"volume-title":"Statistical Tools for Simulation Practitioners","year":"1987","author":"J.P.C. Kleijnen","key":"atypb6"},{"issue":"2","key":"atypb7","first-page":"239","volume":"21","author":"M.D. McKay","year":"1979","journal-title":"Technometrics"},{"key":"atypb8","doi-asserted-by":"publisher","DOI":"10.2307\/1268345"},{"key":"atypb9","doi-asserted-by":"publisher","DOI":"10.2307\/1267912"},{"volume-title":"Statistics for Experimenters","year":"1978","author":"G.E.P. Box","key":"atypb10"},{"volume-title":"Empirical Model-Building and Response Surfaces","year":"1987","author":"G.E.P. Box","key":"atypb11"},{"key":"atypb12","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.1987.10488205"},{"key":"atypb13","doi-asserted-by":"crossref","unstructured":"R.L. Iman and W.J. Conover, \"Small Sample Sensitivity Analysis Techniques for Computer Models, with an Application to Risk Assessment (with Comments and Rejoinder),\" Communications in Statistics Part A \u2014 Theory and Methods A9, No. 17 (Nov. 17, 1980), 1749-1874.","DOI":"10.1080\/03610928008827996"},{"key":"atypb14","doi-asserted-by":"publisher","DOI":"10.1080\/00401706.1985.10488032"},{"volume-title":"Importance Sampling in Multivariate Problems","author":"T. 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