Paper
26 June 1997 Constructing unified identification algorithms using a small number of observations for adaptive control and navigation systems
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Abstract
The paper deals with the development of identification algorithms for adaptive control systems, as well as with specific features related to the realization of the algorithms. We develop an algebraic approach to the construction of identification algorithms. This involves a more realistic formulation of the task as compared with that adopted in the theory of statistical estimation. In particular, we construct the procedures of analysis and selection of the most informative data, based on the degrees of conditionality proposed in the paper. A qualitative theory of identification is developed.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Vladimir A. Fursov "Constructing unified identification algorithms using a small number of observations for adaptive control and navigation systems", Proc. SPIE 3087, Navigation and Control Technologies for Unmanned Systems II, (26 June 1997); https://doi.org/10.1117/12.277217
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Error analysis

Algorithm development

Navigation systems

Statistical analysis

Control systems

Systems modeling

Adaptive control

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