World's Best Scientists 2026 revealed!

D-Index & Metrics

Mechanical and Aerospace Engineering

D-Index
62
Citations
12364
World Ranking
616
National Ranking
273

Electronics and Electrical Engineering

D-Index
63
Citations
12722
World Ranking
1390
National Ranking
571

Research.com Recognitions

  • 2016 - Richard E. Bellman Control Heritage Award
  • 2005 - Member of the National Academy of Engineering For the development and application of advanced techniques for optimal navigation and control of a wide range of aerospace vehicles.
  • 1985 - IEEE Fellow For contributions to deterministic and stochastic optimal control theory and applications.

Overview

Jason L. Speyer is affiliated with the University of California, Los Angeles in the United States. Their research largely spans the fields of Engineering and Computer Science, with particular emphasis on Control and Systems Engineering, Artificial Intelligence, and Aerospace Engineering as subfields.

The scientist's work addresses several main topics, including:

  • Fault Detection and Control Systems
  • Target Tracking and Data Fusion in Sensor Networks
  • GNSS positioning and interference
  • Geophysics and Gravity Measurements
  • Adaptive Control of Nonlinear Systems
  • Distributed Sensor Networks and Detection Algorithms
  • Control Systems and Identification

Frequent co-authors in their research collaborations include:

  • Moshe Idan
  • Nhattrieu Duong
  • Mauro Pontani
  • Po-Ting Chen
  • David S. Bayard

Publications by Jason L. Speyer have appeared predominantly in the Journal of Optimization Theory and Applications, with four papers published there. Other venues where their work has been published include The Journal of the Astronautical Sciences, Discrete Mathematics Letters, Automatica, and Mechatronics.

Selected recent papers include:

  • Aspects of Pulsar Navigation for Deep Space Mission Applications (2020) in The Journal of the Astronautical Sciences
  • A Note on Hyper-Plane Arrangements in Rd (2021) in Discrete Mathematics Letters
  • Integrated MIMO fault detection and disturbance observer-based control (2021) in Mechatronics
  • Laplace estimation for scalar linear systems (2022) in Automatica
  • Distributed Computation of a Robust Estimator Based on Cauchy Noises (2021) in 2021 60th IEEE Conference on Decision and Control (CDC)

Throughout their career, Jason L. Speyer has received several awards and honors, such as:

  • Richard E. Bellman Control Heritage Award (2016)
  • Member of the National Academy of Engineering (2005) for the development and application of advanced techniques for optimal navigation and control of a wide range of aerospace vehicles
  • IEEE Fellow (1985) recognized for contributions to deterministic and stochastic optimal control theory and applications

Best Publications

  • Computation and transmission requirements for a decentralized linear-quadratic-Gaussian control problem

    Jason Speyer

  • A stochastic analysis of a modified gain extended Kalman filter with applications to estimation with bearings only measurements

    Taek Song;J. Speyer

  • Detection filter design: Spectral theory and algorithms

    J. White;J. Speyer

  • New necessary conditions of optimality for control problems with state-variable inequality constraints

    D.H Jacobson;M.M Lele;J.L Speyer

  • Optimization and Control of Nonlinear Systems Using the Second Variation

    John V. Breakwell;Jason L. Speyer;Arthur E. Bryson

  • Observability of error States in GPS/INS integration

    Sinpyo Hong;Man Hyung Lee;Ho-Hwan Chun;Sun-Hong Kwon

  • A systems theory approach to the feedback stabilization of infinitesimal and finite-amplitude disturbances in plane Poiseuille flow

    Sanjay S. Joshi;Jason L. Speyer;John Kim

  • Target tracking problems subject to kinematic constraints

    M. Tahk;J.L. Speyer

  • Fault-tolerant system, apparatus and method

    Walton Williamson;Jason Speyer;Dale Cooper

  • Decentralized controllers for unmanned aerial vehicle formation flight

    J. D. Wolfe;D. F. Chichka;J. L. Speyer

  • Robust fault detection filter design

    Randal K. Douglas;Jason L. Speyer

  • Observability of an integrated GPS/INS during maneuvers

    I. Rhee;M.F. Abdel-Hafez;J.L. Speyer

  • Sustained sub-laminar drag in a fully developed channel flow

    Taegee Min;Sung Moon Kang;Jason L. Speyer;John Kim

  • A game theoretic fault detection filter

    W.H. Chung;J.L. Speyer

  • Optimization of stochastic linear systems with additive measurement and process noise using exponential performance criteria

    J. Speyer;J. Deyst;D. Jacobson

  • Optimal stochastic fault detection filter

    Robert H. Chen;D.Lewis Mingori;Jason L. Speyer

  • On Modeling and Pulse Phase Estimation of X-Ray Pulsars

    Amir A Emadzadeh;Jason L Speyer

  • Nonoptimality of the steady-state cruise for aircraft

    Jason L. Speyer

  • A generalized Shiryayev sequential probability ratio test for change detection and isolation

    D.P. Malladi;J.L. Speyer

  • Primer on optimal control theory

    Jason L. Speyer;David H. Jacobson

  • An adaptive terminal guidance scheme based on an exponential cost criterion with application to homing missile guidance

    Jason Speyer

Frequent Co-Authors

John Kim
John Kim University of California, Los Angeles
Min-Jea Tahk
Min-Jea Tahk Korea Advanced Institute of Science and Technology
Jeff S. Shamma
Jeff S. Shamma University of Illinois at Urbana-Champaign
Steven I. Marcus
Steven I. Marcus University of Maryland, College Park
S. N. Balakrishnan
S. N. Balakrishnan Missouri University of Science and Technology
Debasish Ghose
Debasish Ghose Indian Institute of Science
Gregory J. Pottie
Gregory J. Pottie University of California, Los Angeles
Jeff D. Eldredge
Jeff D. Eldredge University of California, Los Angeles
Tsu-Chin Tsao
Tsu-Chin Tsao University of California, Los Angeles
Ho-Hwan Chun
Ho-Hwan Chun Pusan National University

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