Abstract
A theory of identification of a class of linear systems — lumped and distributed — in the presence of state or process noise. As a specific application, the problem of of identifying aircraft stability — control derivatives in turbulence is considered, and results obtained on actual flight data are included.
Research supported in part under Grant No. 73-2492, Applied Mathematics Division, AFOSR U.S. Air Force.
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© 1973 Springer-Verlag Berlin Heidelberg
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Balakrishnan, A.V. (1973). Identification of systems subject to random state disturbance. In: Conti, R., Ruberti, A. (eds) 5th Conference on Optimization Techniques Part I. Optimization Techniques 1973. Lecture Notes in Computer Science, vol 3. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-06583-0_1
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DOI: https://doi.org/10.1007/3-540-06583-0_1
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