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Dennis S. Bernstein

Researcher at University of Michigan

Publications -  876
Citations -  29606

Dennis S. Bernstein is an academic researcher from University of Michigan. The author has contributed to research in topics: Adaptive control & Control theory. The author has an hindex of 70, co-authored 847 publications receiving 26704 citations. Previous affiliations of Dennis S. Bernstein include Northrop Grumman Corporation & Harris Corporation.

Papers
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Duhem modeling of friction-induced hysteresis

TL;DR: In this paper, the authors recast Dahl, LuGre, and Maxwell-slip models as extended, generalized, or semilinear Duhem models, and classified each model as either rate independent or rate dependent.
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Some explicit formulas for the matrix exponential

TL;DR: Formulas are derived for the exponential of an arbitrary 2*2 matrix in terms of either its eigenvalues or entries and these results are applied to the second-order mechanical vibration equation with weak or strong damping.
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Extensions of mixed-µ bounds to monotonic and odd monotonic nonlinearities using absolute stability theory†

TL;DR: In this article, the authors make explicit connections between classical absolute stability theory and modern mixed-μ analysis and synthesis, using the parameter-dependent Lyapunov function framework of Haddad and Bernstein and the frequency dependent off-axis circle interpretation of How and Hall.
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Spacecraft tracking using sampled-data Kalman filters

TL;DR: In this article, the ability of the filters to acquire and track a target satellite in geosynchronous orbit as a function of the sample interval, initial uncertainty, and type of available measurements is analyzed.
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The optimal projection equations with Petersen-Hollot bounds: robust stability and performance via fixed-order dynamic compensation for systems with structured real-valued parameter uncertainty

TL;DR: In this paper, a feedback control design problem involving structured real-valued plant parameter uncertainties is considered, and a quadratic Lyapunov bound suggested by recent work of I.R. Petersen and C.V. Hollot (1986) is utilized in conjunction with the guaranteed cost approach of S.L. Chang and T.C. Peng (1972) to guarantee robust stability with robust performance bound.