University of Michigan
PhD Computer, Information, and Control Engineering ’82
MSE Computer, Information, and Control Engineering ’79
ScB Applied Mathematics ’77
Performance of Aircraft and Spacecraft, AE245
Flight Mechanics, AE345
Control of Structures and Fluids, AE579
Linear Control Systems, AE580
Analytical Dynamics, AE540
Data Analysis and System Identification, AE566
Trajectory Optimization, AE575
Linear and nonlinear systems, identification, optimal, robust and adaptive control.
Professor Bernstein’s interests include identification, estimation, and control for aerospace applications. His research has focused on active noise and vibration control, adaptive flight control, and attitude control for space applications. His current interests are in the theory and application of nonlinear system identification, large-scale state estimation for data assimilation, and adaptive control. He was Editor-in-Chief of the IEEE Control Systems Magazine from 2003 to 2011. He has coauthored more than 200 journal papers and 400 conference papers, and he is the author of Scalar, Vector, and Matrix Mathematics, third edition published in 2018.
A. A. Ali, J. B. Hoagg, M. Mossberg, and D. S. Bernstein, “On the Stability and Convergence of a Sliding-Window Variable-Regularization Recursive-Least-Squares Algorithm,” Int. J. Adaptive Contr. Sig. Proc., pp. 715–735, 2016.
V. Chellaboina, S. P. Bhat, W. M. Haddad, and D. S. Bernstein, “Modeling and Analysis of Mass-Action Kinetics: Nonnegativity, realizability, reducibility, and semistability,” IEEE Contr. Sys. Mag., Vol. 29, pp. 60-78, August 2009.
A. Sanyal, A. Fosbury, N. Chaturvedi, and D. S. Bernstein, “Inertia-Free Spacecraft Attitude Tracking with Disturbance Rejection and Almost Global Stabilization,” AIAA J. Guid. Contr. Dyn., Vol. 32, pp. 1167-1178, 2009.
S. P. Bhat and D. S. Bernstein, “Average-Preserving Symmetries and Energy Equipartition in
Linear Hamiltonian Systems,” Math. Contr. Sig. Sys., Vol. 21, pp. 127–146, 2009.
M. A. Santillo and D. S. Bernstein, “Adaptive Control Based on Retrospective Cost Optimization,” AIAA J. Guid. Contr. Dyn., Vol. 33, pp. 289–304, 2010.
H. Palanthandalam-Madapusi, T. Van Pelt, and D. S. Bernstein, “Parameter Consistency and Quadratically Constrained Errors-in-Variables Least-Squares Identification,” Int. J. Contr., Vol. 83, pp. 862–877, 2010.
S. P. Bhat and D. S. Bernstein, “Arc-Length-Based Lyapunov Tests for Convergence and Stability with Applications to Systems Having a Continuum of Equilibria, ”Math. Contr. Sig. Sys., Vol. 22, pp. 156–184, 2010.
O. M. Baksalary, D. S. Bernstein, and G. Trenkler, “On the Equality between Rank and Trace
of an Idempotent Matrix,” Applied Mathematics and Computation, Vol. 217, pp. 4076–4080, 2010.
J. Yan, J. B. Hoagg, R. E. Hindman, and D. S. Bernstein, “Longitudinal Aircraft Dynamics and the Instantaneous Acceleration Center of Rotation: The Case of the Vanishing Zeros,”IEEE Contr. Sys. Mag., Vol. 30, pp. 68–92, 2011.
A. M. D’Amato, A. J. Ridley, and D. S. Bernstein, “Retrospective-Cost-Based Adaptive Model Refinement for the Ionosphere and Thermosphere,”Statistical Analysis and Data Mining, Vol. 4, pp. 446–458, 2011.
M. H. Holzel and D. S. Bernstein, “From Polynomial Matrices to Markov Parameters and Back: Theory and Numerical Algorithms, ”Lin. Alg. Appl., Vol. 437, pp. 783–808, 2012.
J. B. Hoagg and D. S. Bernstein, “Retrospective Cost Model Reference Adaptive Control for Nonminimum-Phase Systems,” AIAA J. Guid. Contr. Dyn., Vol. 35, pp. 1767–1786, 2012.
A. Weiss, I. Kolmanovsky, D. S. Bernstein, and A. Sanyal, “Inertia-Free Spacecraft Attitude Control Using Reaction Wheels,”AIAA J. Guid. Contr. Dyn., Vol. 36, pp. 1425–1439, 2013.
A. V. Morozov, A. J. Ridley, D. S. Bernstein, N. Collins, T. J. Hoar, and J. L. Anderson “Data Assimilation and Driver Estimation for the Global Ionosphere–Thermosphere Model Using the Ensemble Adjustment Kalman Filter,” J. Atmospheric and Solar-Terrestrial Physics, Vol. 104, pp. 126–136, 2013.
J. Yan and D. S. Bernstein, “Minimal Modeling Retrospective Cost Adaptive Control of Uncertain Hammerstein Systems Using Auxiliary Nonlinearities,” Int. J. Contr., Vol. 87, pp. 483–505, 2014.