State Identification in Nonlinear Systems

Journal Article · Sun Feb 06 00:00:00 EST 2005 · AIP Conference Proceedings

DOI:https://doi.org/10.1063/1.1867198· OSTI ID:20630587

Holloway, James Paul ^[1]

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1. Department of Nuclear Engineering and Radiological Sciences, University of Michigan, Ann Arbor, MI 48109-2104 (United States)

A state estimation method based on finding a system state that causes a model to match a set of system measurements is regularized by requiring that sudden changes in system state be avoided. The required optimization is accomplished by a pattern search algorithm. The method does not require derivative information or linearization of the model. Is has been applied to a 10 dimensional model of a fast reactor system.

• OSTI ID: 20630587
• Journal Information: AIP Conference Proceedings, Vol. 746, Issue 1; Conference: STAIF 2005: Conference on thermophysics in microgravity; Conference on commercial/civil next generation space transportation; 22. symposium on space nuclear power and propulsion; Conference on human/robotic technology and the national vision for space exploration; 3. symposium on space colonization; 2. symposium on new frontiers and future concepts, Albuquerque, NM (United States), 13-17 Feb 2005; Other Information: DOI: 10.1063/1.1867198; (c) 2005 American Institute of Physics; Country of input: International Atomic Energy Agency (IAEA); ISSN 0094-243X
• Country of Publication: United States
• Language: English

Related Subjects

21 SPECIFIC NUCLEAR REACTORS AND ASSOCIATED PLANTS
ALGORITHMS
FAST REACTORS
MANY-DIMENSIONAL CALCULATIONS
NONLINEAR PROBLEMS
OPTIMIZATION