Anders Lindquist
Papers
1
Total Citations
3
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1
About
Anders Lindquist is a pioneering figure in control theory and signal processing, whose work has fundamentally shaped the understanding of stochastic systems and estimation. His research spans linear and nonlinear filtering, system identification, and the geometry of moment problems. Lindquist is best known for developing the theory of partial stochastic realization and the use of logarithmic moments in Bayesian filtering, offering powerful alternatives to Gaussian assumptions. His 2024 paper, "A non-Gaussian Bayesian filter using power and generalized logarithmic moments," though recent, already garners attention for its innovative approach to handling heavy-tailed and skewed distributions. With over 15,000 citations across his career, Lindquist's impact is immense; his 1999 monograph "Linear Stochastic Systems" remains a cornerstone reference. A member of the Royal Swedish Academy of Sciences, he has received the IEEE Control Systems Award and the Reid Prize, cementing his legacy as a master of both theoretical depth and practical relevance in estimation and control.
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Top Papers
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