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.
Jason L. Speyer mostly deals with Control theory, Estimator, Optimal control, Kalman filter and Linear system. His work carried out in the field of Control theory brings together such families of science as Inertial navigation system, Filter and Fault detection and isolation. His Estimator research is multidisciplinary, incorporating perspectives in Mathematical optimization and Pulsar.
Jason L. Speyer has researched Optimal control in several fields, including Calculus of variations, Mathematical analysis, Applied mathematics and Riccati equation. His Kalman filter study combines topics in areas such as Transmission and Acceleration. Jason L. Speyer interconnects Missile, Control theory, Adaptive control and Stochastic control in the investigation of issues within Linear system.
His primary areas of investigation include Control theory, Optimal control, Mathematical optimization, Linear system and Kalman filter. His research integrates issues of Filter design and Fault detection and isolation in his study of Control theory. The concepts of his Optimal control study are interwoven with issues in Aerodynamic force, Aerodynamics, Mathematical analysis and Riccati equation.
His Mathematical optimization research is multidisciplinary, incorporating elements of Game theory and Exponential function. His research investigates the connection with Linear system and areas like Cauchy distribution which intersect with concerns in Applied mathematics, Conditional expectation, Probability density function, Conditional probability distribution and Characteristic function. Many of his studies on Kalman filter apply to Algorithm as well.
His primary areas of study are Control theory, Cauchy distribution, Applied mathematics, Estimator and Linear system. His Control theory study frequently links to adjacent areas such as Spacecraft. His Cauchy distribution research incorporates elements of Probability density function, Characteristic function, Conditional expectation and Conditional probability distribution.
His research investigates the connection between Applied mathematics and topics such as Mathematical optimization that intersect with issues in Estimation theory. His studies deal with areas such as Upper and lower bounds, Filter and Pulsar as well as Estimator. His Linear system research includes elements of Conditional probability, Stochastic control, Model predictive control and Robustness.
His scientific interests lie mostly in Control theory, Estimator, Cauchy distribution, Pulsar and Linear system. His Control theory research focuses on Kalman filter in particular. His studies in Kalman filter integrate themes in fields like Control system and Inertial measurement unit.
Within one scientific family, Jason L. Speyer focuses on topics pertaining to Upper and lower bounds under Estimator, and may sometimes address concerns connected to Rate function. The various areas that he examines in his Cauchy distribution study include Conditional probability distribution, Characteristic function and Applied mathematics. His work in Linear system addresses subjects such as Noise measurement, which are connected to disciplines such as Model predictive control, Stochastic process, Gaussian noise, Stochastic control and Robustness.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Detection filter design: Spectral theory and algorithms
J. White;J. Speyer.
IEEE Transactions on Automatic Control (1987)
Computation and transmission requirements for a decentralized linear-quadratic-Gaussian control problem
conference on decision and control (1978)
A stochastic analysis of a modified gain extended Kalman filter with applications to estimation with bearings only measurements
Taek Song;J. Speyer.
IEEE Transactions on Automatic Control (1985)
New necessary conditions of optimality for control problems with state-variable inequality constraints
D.H Jacobson;M.M Lele;J.L Speyer.
Journal of Mathematical Analysis and Applications (1971)
Optimization and Control of Nonlinear Systems Using the Second Variation
John V. Breakwell;Jason L. Speyer;Arthur E. Bryson.
Journal of The Society for Industrial and Applied Mathematics, Series A: Control (1963)
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.
Journal of Fluid Mechanics (1997)
Observability of error States in GPS/INS integration
Sinpyo Hong;Man Hyung Lee;Ho-Hwan Chun;Sun-Hong Kwon.
IEEE Transactions on Vehicular Technology (2005)
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.
Guidance, Navigation, and Control Conference (1996)
Target tracking problems subject to kinematic constraints
M. Tahk;J.L. Speyer.
IEEE Transactions on Automatic Control (1990)
Profile was last updated on December 6th, 2021.
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