Optimal experiment design for identification of large space structures. - David S. Bayard; Fred Y. Hadaegh; Deirdre R. Meldrum (Autom., 1988)

Automated on-orbit frequency domain identification for large space structures. - David S. Bayard; Fred Y. Hadaegh; Y. Yam; Robert E. Scheid; E. Mettler; Mark H. Milman (Autom., 1991)

High-order multivariable transfer function curve fitting: Algorithms, sparse matrix methods and experimental results. - David S. Bayard (Autom., 1994)

Extended horizon liftings for stable inversion of nonminimum-phase systems. - David S. Bayard (IEEE Trans. Autom. Control., 1994)

An algorithm for state-space frequency domain identification without windowing distortions. - David S. Bayard (IEEE Trans. Autom. Control., 1994)

A globally optimal minimax solution for spectral overbounding and factorization. - Robert E. Scheid; David S. Bayard (IEEE Trans. Autom. Control., 1995)

A result on exponential tracking error convergence and persistent excitation. - David S. Bayard; John Spanos; Zahidul Rahman (IEEE Trans. Autom. Control., 1998)

Task Scheduling on Spacecraft by Hydrid Genetic Algorithms. - Il-Jun Jeong; George P. Papavassilopoulos; David S. Bayard (ICRA, 1999)

On the LTI properties of adaptive feedforward systems with tap delay-line regressors. - David S. Bayard (IEEE Trans. Signal Process., 1999)

On-Board Task Scheduling Algorithm for Spacecraft. - Il-Jun Jeong; George P. Papavassilopoulos; David S. Bayard (ICRA, 2000)

A general theory of linear time-invariant adaptive feedforward systems with harmonic regressors. - David S. Bayard (IEEE Trans. Autom. Control., 2000)

A confluence matrix condition for exponential error convergence in overparametrized adaptive systems. - David S. Bayard (IEEE Trans. Signal Process., 2000)

An optimization result with application to optimal spacecraft reaction wheel orientation design. - David S. Bayard (ACC, 2001)

Stochastic Analysis of Therapeutic Modalities Using a Database of Patient Responses. - David S. Bayard; Andreas Botnen; William C. Shoemaker; Roger W. Jelliffe (CBMS, 2001)

Multiple Model (MM) Dosage Design: Achieving Target Goals with Maximal Precision. - Roger W. Jelliffe; David S. Bayard; A. Schumitzky; Mark H. Milman; F. Jiang; S. Leonov; V. Gandhi; A. Gandhi; Andreas Botnen (CBMS, 2001)

Development of a Hemodynamic Database in Severe Trauma Patients to Define Optimal Goals and Predict Outcome. - William C. Shoemaker; Charles C. J. Wo; Andreas Botnen; Roger W. Jelliffe; David S. Bayard (CBMS, 2001)

An estimation algorithm for vision-based exploration of small bodies in space. - David S. Bayard; Paul B. Brugarolas (ACC, 2005)

Stochastic model for outcome prediction in acute illness. - William C. Shoemaker; David S. Bayard; Charles C. J. Wo; Andreas Botnen; Linda S. Chan; Li-Chien Chien; Kevin Lu; Demetrios Demetriades; Howard Belzberg; Roger W. Jelliffe (Comput. Biol. Medicine, 2006)

A Markov chain approach to probabilistic swarm guidance. - Behçet Açikmese; David S. Bayard (ACC, 2012)

Probabilistic swarm guidance for collaborative autonomous agents. - Behçet Açikmese; David S. Bayard (ACC, 2014)

Autonomous navigation using x-ray pulsars and multirate processing. - Po-Ting Chen; Jason L. Speyer; David S. Bayard; Walid A. Majid (ACC, 2017)

Accurate and Robust Scene Reconstruction in the Presence of Misassociated Features for Aerial Sensing. - Mohammad R. Jahanshahi 001; Fu-Chen Chen; Adnan I. Ansar; Curtis W. Padgett; Daniel S. Clouse; David S. Bayard (J. Comput. Civ. Eng., 2017)

Partition-based Feasible Integer Solution Pre-computation for Hybrid Model Predictive Control. - Danylo Malyuta; Behçet Açikmese; Martin Cacan; David S. Bayard (ECC, 2019)

xVIO: A Range-Visual-Inertial Odometry Framework. - Jeff Delaune; David S. Bayard; Roland Brockers (CoRR, 2020)

Detection of Transient Instabilities in Multi-Agent Systems and Swarms. - Saptarshi Bandyopadhyay; Vinod P. Gehlot; Mark J. Balas; David S. Bayard; Marco B. Quadrelli (ACC, 2021)

Collision Free Dynamic Stability of Formations Using Projection Based Estimators. - Vinod P. Gehlot; Mark J. Balas; Saptarshi Bandyopadhyay; Marco B. Quadrelli; David S. Bayard (ACC, 2021)

Autonomous Exploration of Small Bodies Toward Greater Autonomy for Deep Space Missions. - Issa A. D. Nesnas; Benjamin J. Hockman; Saptarshi Bandopadhyay; Benjamin Morrell; Daniel P. Lubey; Jacopo Villa; David S. Bayard; Alan Osmundson; Benjamin Jarvis; Michele Bersani; Shyam Bhaskaran (Frontiers Robotics AI, 2021)

Range-Visual-Inertial Odometry: Scale Observability Without Excitation. - Jeff Delaune; David S. Bayard; Roland Brockers (IEEE Robotics Autom. Lett., 2021)

3D Shape Reconstruction of Small Bodies From Sparse Features. - Benjamin Jarvis; Gary P. T. Choi; Benjamin J. Hockman; Benjamin Morrell; Saptarshi Bandopadhyay; Daniel P. Lubey; Jacopo Villa; Shyam Bhaskaran; David S. Bayard; Issa Nesnas (IEEE Robotics Autom. Lett., 2021)

Mid-Air Helicopter Delivery at Mars Using a Jetpack. - Jeff Delaune; Jacob S. Izraelevitz; Samuel Sirlin; David Sternberg; Louis Giersch; L. Phillipe Tosi; Evgeniy Sklyanskiy; Larry A. Young; Michael Mischna; Shannah Withrow-Maser; Juergen Mueller; Joshua Bowman; et al. (CoRR, 2022)

A Gaussian Sum Filter for Pulsar Navigation: Processing Single Photon Arrival Time Measurements. - Po-Ting Chen; David S. Bayard; Robert F. Sharrow; Walid A. Majid; Benjamin A. Dunst; Jason L. Speyer (IEEE Trans. Control. Syst. Technol., 2023)

Modeling Considerations for Developing Deep Space Autonomous Spacecraft and Simulators. - Christopher Agia; Guillem Casadesus Vila; Saptarshi Bandyopadhyay; David S. Bayard; Kar-Ming Cheung; Charles H. Lee; Eric Wood; Ian Aenishanslin; Steven Ardito; Lorraine M. Fesq; Marco Pavone 001; Issa A. D. Nesnas (CoRR, 2024)