Matthew Holzel

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Prof. Dr. Matthew Holzel

[email protected]

Leader of the Research Group:
Parallel Computing for Embedded Sensor Systems

Education

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University of Michigan

Ann Arbor, MI

Ph.D. Aerospace Engineering, 2009-2012

Flight Dynamics and Controls

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University of Michigan

Ann Arbor, MI

M.S.E. Aerospace Engineering, 2007-2009

Flight Dynamics and Controls

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Embry-Riddle Aeronautical University

Daytona Beach, FL

B.S. Aerospace Engineering, 2005-2007

Astrodynamics

Doctoral Thesis

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University of Michigan

Ann Arbor, MI

Persistency, Consistency, and Polynomial Matrix Models in Least-Squares Identification, 2012
  • Theory and algorithms for relating Markov parameters and polynomial matrix models.
  • A finite-data analysis of persistency in time-domain identification.
  • The zero buffering technique.
  • An analysis of the consistency of µ-Markov-based least-squares techniques for errors-in-variables linear and Hammerstein systems.
  • Linear algebra techniques for equality-constrained multivariate polynomial least-squares problems.
  • Sparsity-retaining techniques for computing the nullspace of large sparse matrices.
  • SVD-based techniques for computing the zeros of polynomial matrices.

Supervised Theses

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Technical University of Braunschweig

Braunschweig, Germany

Static Finite Element Modeling of Solar Sail Films, 2013

Thimo Meierdierks

Courses Taught

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University of Bremen

Bremen, Germany

An Introduction to System Identification, 2015-present

An introduction to common model structures used for mechanical and aerospace systems, as well as common methods of estimating those models, and a statistical analysis of the estimated results.

Awards

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NASA Aeronautics Scholarship Program

NASA ASP Fellow, 2009-2012

One of only five graduate students in the United States to receive this award in 2009, which provided 3 years of full PhD support.

Experience

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University of Bremen

Bremen, Germany

Professor, 2014-present

Professor in the Mathematics and Computer Science department, and leader of the Parallel Computing for Embedded Sensor Systems research group.

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DLR Institute of Space Systems

Bremen, Germany

Researcher, 2012-2014

Developed analytical models, control techniques, and the attitude determination system for the GOSSAMER solar sail project.

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NASA Langley Research Center

Hampton, VA

NASA Langley Intern, Summer 2010

Developed a recursive, nonparametric method for estimating frequency responses and their covariances in real-time in the presence of possibly colored output measurement noise. Also developed working code to be implemented on future test flights of a NASA subscale, dynamically balanced aircraft.

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Air Force Research Laboratory

Albuquerque, NM

Space Scholar Intern, Summer 2008

Developed an approach for direct data-driven frequency-domain optimal controller design (H2 and LQG) which circumvents the need to first identify a reduced-order model from data. Also developed an extension which incorporated empirical frequency-by-frequency uncertainty to ensure robust closed-loop stability.

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FAAC Inc.

Ann Arbor, MI

Associate Software/Aerospace Engineer, 2007

Developed real-time attitude and positioning software for fighter jets in training exercises in C-code.

Special Training

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Vrije Universiteit Brussel

Brussels, Belgium

Workshop on Nonlinear System Identification Workshop, April 2016

A workshop comparing different system identification techniques for Wiener-Hammerstein and Bouc-Wen models.

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European Space Agency (ESA)-ESTEC

Noordwijk, Netherlands

ESA/CNES/DLR Workshop on Worst Case Analysis, November 2012

Workshop on modern validation and verification techniques, as well as robust flight control design for nonlinear systems.

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Vrije Universiteit Brussel

Brussels, Belgium

Doctoral School on Identification of Nonlinear Dynamic Systems, Spring 2009

Short course on system identification of nonlinear dynamic systems, with a focus on frequency-domain techniques.

    Journal Papers

  1. H. Sharif and M. Holzel, “A comparison of prefilters in orb-based object detection,” Pattern Recognition Letters, 2016.
  2. M. Sagliano and M. Holzel, “Beyond Runge-kutta methods: Self-scaling collocation methods preserving constants of motion,” AIAA Journal of Guidance, Control and Dynamics, under review.
  3. M. Holzel and D. S. Bernstein, “A matrix nullspace approach for solving equality-constrained multivariable polynomial least-squares problems,” Automatica, vol. 50, pp. 3030-3037, 2014.
  4. M. Holzel and E. A. Morelli, “Real-time frequency response estimation from flight data,” AIAA Journal of Guidance, Control and Dynamics, vol. 35, no. 5, pp. 1406-1417, 2012.
  5. M. Holzel and D. S. Bernstein, “From polynomial matrices to markov parameters and back: Theory and numerical algorithms,” Linear Algebra and its Applications, vol. 437, pp. 783-808, 2012.
  6. Conference Papers

  7. M. Alsharif and M. Holzel, “Estimation of a drone’s rotational dynamics using piloted android flight data,” in IEEE Conference on Decision and Control, Las Vegas, NV, Dec. 2016.
  8. M. Alsharif and M. Holzel, “System identification of a quadcopter’s rotational dynamics using android flight data,” in IEEE Multi-Conference on Systems and Control, Buenos Aires, Argentina, Sep. 2016.
  9. A. Heidecker, T. Kato, O. Maibaum, and M. Holzel, “Attitude Control System of the Eu:CROPIS Mission,” in 65th International Astronautical Congress, Toronto, Canada, Oct. 2014.
  10. P. Spietz, V. Baturkin, T. Grundmann, F. Henning, C. Hobbie, M. Holzel, M. Jetzschmann, F. Lura, N. Melnik, A. Pissarskoi, D. Quantius, S. Reershemius, P. Seefeldt, T. Spröwitz, N. Toth, and B. Biering, “Gossamer roadmap and development of gossamer-1, dlr’s membrane deployment demonstrator spacecraft,” in 3rd International Symposium on Solar Sailing, Glasgow, Scotland, Jun. 2013.
  11. K. Aljanaideh, A. A. Ali, M. Holzel, S. Kukreja, and D. S. Bernstein, “Sensor-to-sensor identification of hammerstein systems,” in IEEE Conference on Decision and Control, Maui, HI, Dec. 2012, pp. 2846-2851.
  12. E. D. Sumer, M. Holzel, A. M. D’Amato, and D. S. Bernstein, “Fir-based phase matching for robust retrospective-cost adaptive control,” in American Control Conference, Montreal, Canada, Jun. 2012, pp. 2707-2712.
  13. M. Holzel and D. S. Bernstein, “Svd-based computation of zeros of polynomial matrices,” in IEEE Conference on Decision and Control, Orlando, FL, Dec. 2011, pp. 6962-6966.
  14. A. A. Ali, A. M. D’Amato, M. Holzel, S. L. Kukreja, and D. S. Bernstein, “Consistent identification of hammerstein systems using an ersatz nonlinearity,” in American Control Conference, San Francisco, CA, Jun. 2011, pp. 1242-1246.
  15. M. S. Fledderjohn, M. Holzel, H. Palanthandalam-Madapusi, R. J. Fuentes, and D. S. Bernstein, “A comparison of least squares algorithms for estimating markov parameters,” in American Control Conference, Baltimore, MD, Jun. 2010.
  16. M. S. Fledderjohn, M. Holzel, A. V. Morozov, J. B. Hoagg, and D. S. Bernstein, “On the accuracy of least squares algorithms for estimating zeros,” in American Control Conference, Baltimore, MD, Jun. 2010.
  17. M. Holzel, A. A. Ali, and D. S. Bernstein, “Input richness and zero buffering in time-domain identication,” in American Control Conference, Baltimore, MD, Jun. 2010.
  18. M. A. Santillo, M. Holzel, J. B. Hoagg, and D. S. Bernstein, “Adaptive control using retrospective cost optimization with rls-based estimation for concurrent markov-parameter updating,” in IEEE Conference on Decision and Control, Shanghai, China, Dec. 2009.
  19. M. A. Santillo, M. Holzel, J. B. Hoagg, and D. S. Bernstein, “Adaptive control of the nasa generic transport model using retrospective cost optimization,” in AIAA Guidance, Navigation, and Control Conference, Chicago, IL, Aug. 2009.
  20. M. Holzel, S. Lacy, and V. Babuska, “Direct optimal controller identification for uncertain systems using frequency response function data,” in IFAC Symposium on System Identification, Saint-Malo, France, Jul. 2009, pp. 1056-1061.
  21. A. M. D’Amato, A. Brzezinski, M. Holzel, J. Ni, and D. S. Bernstein, “Sensor-only noncausal blind identification of pseudo transfer functions,” in IFAC Symposium on System Identification, Saint-Malo, France, Jul. 2009, pp. 1698-1703.
  22. M. Holzel, S. Lacy, V. Babuska, and D. S. Bernstein, “Direct frequency response function based, uncertainty accommodating optimal controller design,” in American Control Conference, St. Louis, MO, Jun. 2009, pp. 1046-1051.
  23. Y. C. Cho, M. S. Fledderjohn, M. Holzel, B. Jayaraman, M. A. Santillo, D. S. Bernstein, and W. Shyy, “Adaptive flow control of low reynolds number aerodynamics using a dielectric barrier discharge actuator,” in 47th AIAA Aerospace Sciences Meeting, Orlando, FL, Jan. 2009.