Abstract:
Large-scale physics models typically involve unknown parameters that are either inaccessible or representative of complex, unknown dynamics. The focus of this paper is on...Show MoreMetadata
Abstract:
Large-scale physics models typically involve unknown parameters that are either inaccessible or representative of complex, unknown dynamics. The focus of this paper is on the estimation of the eddy diffusion coefficient (EDC), which represents the dissipative effect of turbulent mixing in the lower atmosphere. Retrospective cost parameter estimation is used to estimate EDC using measurements of the total electron content. The novel element of the paper is concurrent optimization of the filter that defines the retrospective cost function. Since this optimization problem is biquadratic, an alternating convex search algorithm is used.
Published in: 2018 Annual American Control Conference (ACC)
Date of Conference: 27-29 June 2018
Date Added to IEEE Xplore: 16 August 2018
ISBN Information:
Electronic ISSN: 2378-5861