James C. Spall

According to our database1, James C. Spall authored at least 50 papers between 1994 and 2018.

Collaborative distances :
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Awards

IEEE Fellow

IEEE Fellow 2003, "For contributions to stochastic algorithms in control and optimization.".

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2018
A Markovian Framework for Modeling Dynamic Network Traffic.
Proceedings of the 2018 Annual American Control Conference, 2018

Mixed Simultaneous Perturbation Stochastic Approximation for Gradient-Free Optimization with Noisy Measurements.
Proceedings of the 2018 Annual American Control Conference, 2018

Combining Subsystem and Full System Data with Application to Cold-Formed Steel Shear Wall.
Proceedings of the 2018 Annual American Control Conference, 2018

2017
Efficient computation of the Fisher information matrix in the EM algorithm.
Proceedings of the 51st Annual Conference on Information Sciences and Systems, 2017

Beyond the identification of reliability for system with binary subsystems.
Proceedings of the 2017 American Control Conference, 2017

2016
Efficient implementation of enhanced adaptive simultaneous perturbation algorithms.
Proceedings of the 2016 Annual Conference on Information Science and Systems, 2016

Tracking capability of stochastic gradient algorithm with constant gain.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Estimating travel time in urban traffic by modeling transportation network systems with binary subsystems.
Proceedings of the 2016 American Control Conference, 2016

Asymptotic normality and efficiency analysis of the cyclic seesaw stochastic optimization algorithm.
Proceedings of the 2016 American Control Conference, 2016

Multi-agent surveillance and tracking using cyclic stochastic gradient.
Proceedings of the 2016 American Control Conference, 2016

2015
Integrated stochastic optimization and statistical experimental design for multi-robot target tracking.
Proceedings of the 2015 Winter Simulation Conference, 2015

Error bound analysis of the least-mean-squares algorithm in linear models.
Proceedings of the 49th Annual Conference on Information Sciences and Systems, 2015

System identification for multi-sensor data fusion.
Proceedings of the American Control Conference, 2015

2014
Identification for Systems With Binary Subsystems.
IEEE Trans. Automat. Contr., 2014

Discrete simultaneous perturbation stochastic approximation for resource allocation in public health.
Proceedings of the American Control Conference, 2014

Cyclic stochastic optimization with noisy function measurements.
Proceedings of the American Control Conference, 2014

2013
Maximum likelihood-based estimation of parameters in systems with binary subsystems.
Proceedings of the 47th Annual Conference on Information Sciences and Systems, 2013

Rate of convergence analysis of discrete simultaneous perturbation stochastic approximation algorithm.
Proceedings of the American Control Conference, 2013

Parameter estimation for systems with binary subsystems.
Proceedings of the American Control Conference, 2013

2012
Cyclic Seesaw Process for Optimization and Identification.
J. Optimization Theory and Applications, 2012

Asymptotic normality and uncertainty bounds for reliability estimates from subsystem and full system tests.
Proceedings of the American Control Conference, 2012

Relative performance of expected and observed fisher information in covariance estimation for maximum likelihood estimates.
Proceedings of the American Control Conference, 2012

2011
Cyclic seesaw optimization with applications to state-space model identification.
Proceedings of the 45st Annual Conference on Information Sciences and Systems, 2011

Cyclic seesaw optimization and identification.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

Framework for estimating system reliability from full system and subsystem tests with dependence on dynamic inputs.
Proceedings of the 50th IEEE Conference on Decision and Control and European Control Conference, 2011

2010
Efficient Monte Carlo computation of Fisher information matrix using prior information.
Computational Statistics & Data Analysis, 2010

Implementation and application of maximum likelihood reliability estimation from subsystem and full system tests.
Proceedings of the 10th Performance Metrics for Intelligent Systems Workshop, 2010

Convergence analysis for maximum likelihood-based reliability estimation from subsystem and full system tests.
Proceedings of the 49th IEEE Conference on Decision and Control, 2010

2009
Feedback and Weighting Mechanisms for Improving Jacobian Estimates in the Adaptive Simultaneous Perturbation Algorithm.
IEEE Trans. Automat. Contr., 2009

Optimum combination of full system and subsystem tests for estimating the reliability of a system.
Proceedings of the 9th Workshop on Performance Metrics for Intelligent Systems, 2009

On Monte Carlo methods for estimating the fisher information matrix in difficult problems.
Proceedings of the 43rd Annual Conference on Information Sciences and Systems, 2009

Preliminary results in comparing the expected and observed Fisher information for maximum likelihood estimates.
Proceedings of the 43rd Annual Conference on Information Sciences and Systems, 2009

Preliminary results on relative performance of expected and observed fisher information.
Proceedings of the 48th IEEE Conference on Decision and Control, 2009

2008
Robust Neural Network Tracking Controller Using Simultaneous Perturbation Stochastic Approximation.
IEEE Trans. Neural Networks, 2008

Asymptotic Sampling Distribution for Polynomial Chaos Representation from Data: A Maximum Entropy and Fisher Information Approach.
SIAM J. Scientific Computing, 2008

Stochastic optimisation with inequality constraints using simultaneous perturbations and penalty functions.
Int. J. Control, 2008

Reliability estimation and confidence regions from subsystem and full system tests via maximum likelihood.
Proceedings of the 8th Workshop on Performance Metrics for Intelligent Systems, 2008

2007
Feedback and Weighting Mechanisms for Improving Jacobian Estimates in the Adaptive Simultaneous Perturbation Algorithm.
Proceedings of the 41st Annual Conference on Information Sciences and Systems, 2007

An efficient calculation of Fisher information matrix: Monte Carlo approach using prior information.
Proceedings of the 46th IEEE Conference on Decision and Control, 2007

2004
Use of the Kalman filter for inference in state-space models with unknown noise distributions.
IEEE Trans. Automat. Contr., 2004

2000
Adaptive stochastic approximation by the simultaneous perturbation method.
IEEE Trans. Automat. Contr., 2000

First Results on Formal Comparison of Several Stochastic Optimization Algorithms.
Proceedings of the Proceedings 33th Annual Simulation Symposium (SS 2000), 2000

1999
Correction to "Optimal random perturbations for stochastic approximation using a simultaneous perturbation gradient approximation".
IEEE Trans. Automat. Contr., 1999

Stochastic optimization and the simultaneous perturbation method.
Proceedings of the 31st conference on Winter simulation: Simulation, 1999

1997
A neural network controller for systems with unmodeled dynamics with applications to wastewater treatment.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 1997

A one-measurement form of simultaneous perturbation stochastic approximation.
Automatica, 1997

1995
The Kantorovich inequality for error analysis of the Kalman filter with unknown noise distributions.
Automatica, 1995

Uncertainties for recursive estimators in nonlinear state-space models, with applications to epidemiology.
Automatica, 1995

Stochastic Version of Second-Order (Newton-Raphson) Optimization Using only Function Measurements.
Proceedings of the 27th conference on Winter simulation, 1995

1994
Developments in stochastic optimization algorithms with gradient approximations based on function measurements.
Proceedings of the 26th conference on Winter simulation, 1994


  Loading...