James C. Spall

ORCID

Publication Activity (10 Years)

Years Active: 1994-2023
Publications (10 Years): 35

Top Venues

Publications

Shihong Wei, James C. Spall
Quantifying the Estimation Error for a Constant-Gain Tracker. ACC (2023)
Shiqing Sun, James C. Spall
Langevin Monte Carlo with SPSA-approximated Gradients. CISS (2023)
Ducheng Peng, Yiwen Chen, James C. Spall
. ACC (2023)
James Cheng Peng, James C. Spall
Performance Analysis of Model-Free Control and PID Control on a Class of Nonlinear MIMO Systems. CISS (2023)
Shihong Wei, James C. Spall
Uncertainty Quantification for the Extended and the Deterministic-Gain Kalman Filters. ACC (2022)
Zewei Li, James C. Spall
Discrete Stochastic Optimization for Public Health Interventions with Constraints. CoRR (2022)
Zewei Li, James C. Spall
Discrete Stochastic Optimization for Public Health Interventions with Constraints. Oper. Res. Forum 3 (4) (2022)
Xuan Wu, James C. Spall
Improved Monte Carlo Estimation of the Fisher Information Matrix with Independent Perturbations. CISS (2021)
Shiqing Sun, James C. Spall
Connection of Diagonal Hessian Estimates to Natural Gradients in Stochastic Optimization. CISS (2021)
Long Wang, Jingyi Zhu, James C. Spall
Model-Free Optimal Control using SPSA with Complex Variables. CISS (2021)
Shihong Wei, James C. Spall
Probabilistic Bounds for a Class of Filtering Algorithms in the Scalar Case. ACC (2021)
Jiahao Shi, James C. Spall
SQP-based Projection SPSA Algorithm for Stochastic Optimization with Inequality Constraints. ACC (2021)
Sihang Jiang, James C. Spall
Comparison between Expected and Observed Fisher Information in Interval Estimation. CISS (2021)
Long Wang, James C. Spall
Improved SPSA Using Complex Variables with Applications in Optimal Control Problems. ACC (2021)
Jingyi Zhu, Long Wang, James C. Spall
Efficient Implementation of Second-Order Stochastic Approximation Algorithms in High-Dimensional Problems. IEEE Trans. Neural Networks Learn. Syst. 31 (8) (2020)
Long Wang, James C. Spall
Multilevel Data Integration with Application in Sensor Networks. ACC (2020)
Xiangyu Yuan, James C. Spall
Confidence Intervals with Expected and Observed Fisher Information in the Scalar Case. ACC (2020)
Jingyi Zhu, Long Wang, James C. Spall
Efficient Implementation of Second-Order Stochastic Approximation Algorithms in High-Dimensional Problems. CoRR (2019)
Shuyu Liu, Yingze Hou, James C. Spall
Distribution Estimation for Stochastic Approximation in Finite Samples Using A Surrogate Stochastic Differential Equation Method. CISS (2019)
Ziyu Liu, James C. Spall
Error Estimation for the Particle Filter. CISS (2019)
Ziyu Liu, Shihong Wei, James C. Spall
Error Analysis for the Particle Filter. ACC (2019)
Karla Hernandez, James C. Spall
Generalization of a Result of Fabian on the Asymptotic Normality of Stochastic Approximation. Autom. 99 (2019)
Shiqing Sun, James C. Spall
SPSA Method Using Diagonalized Hessian Estimate. CDC (2019)
Jingyi Zhu, James C. Spall
Probabilistic Bounds in Tracking a Discrete-Time Varying Process. CDC (2018)
Xilei Zhao, James C. Spall
A Markovian Framework for Modeling Dynamic Network Traffic. ACC (2018)
Xilei Zhao, James C. Spall
Modeling Traffic Networks Using Integrated Route and Link Data. CoRR (2018)
Long Wang, Guanbo Bian, James C. Spall, Benjamin W. Schafer
Combining Subsystem and Full System Data with Application to Cold-Formed Steel Shear Wall. ACC (2018)
Long Wang, Jingyi Zhu, James C. Spall
Mixed Simultaneous Perturbation Stochastic Approximation for Gradient-Free Optimization with Noisy Measurements. ACC (2018)
Long Wang, James C. Spall
Beyond the identification of reliability for system with binary subsystems. ACC (2017)
Lingyao Meng, James C. Spall
Efficient computation of the Fisher information matrix in the EM algorithm. CISS (2017)
Xilei Zhao, James C. Spall
Estimating travel time in urban traffic by modeling transportation network systems with binary subsystems. ACC (2016)
Pushpendre Rastogi, Jingyi Zhu, James C. Spall
Efficient implementation of enhanced adaptive simultaneous perturbation algorithms. CISS (2016)
Jingyi Zhu, James C. Spall
Tracking capability of stochastic gradient algorithm with constant gain. CDC (2016)
Karla Hernandez, James C. Spall
Asymptotic normality and efficiency analysis of the cyclic seesaw stochastic optimization algorithm. ACC (2016)
Carsten H. Botts, James C. Spall, Andrew J. Newman
Multi-agent surveillance and tracking using cyclic stochastic gradient. ACC (2016)
Karla Hernandez, James C. Spall
System identification for multi-sensor data fusion. ACC (2015)
Jingyi Zhu, James C. Spall
Error bound analysis of the least-mean-squares algorithm in linear models. CISS (2015)
Timothy H. Chung, James C. Spall
Integrated stochastic optimization and statistical experimental design for multi-robot target tracking. WSC (2015)
Karla Hernandez, James C. Spall
Cyclic stochastic optimization with noisy function measurements. ACC (2014)
James C. Spall
Identification for Systems With Binary Subsystems. IEEE Trans. Autom. Control. 59 (1) (2014)
Qi Wang, James C. Spall
Discrete simultaneous perturbation stochastic approximation for resource allocation in public health. ACC (2014)
James C. Spall
Parameter estimation for systems with binary subsystems. ACC (2013)
Qi Wang, James C. Spall
Rate of convergence analysis of discrete simultaneous perturbation stochastic approximation algorithm. ACC (2013)
James C. Spall
Maximum likelihood-based estimation of parameters in systems with binary subsystems. CISS (2013)
James C. Spall
Asymptotic normality and uncertainty bounds for reliability estimates from subsystem and full system tests. ACC (2012)
Xumeng Cao, James C. Spall
Relative performance of expected and observed fisher information in covariance estimation for maximum likelihood estimates. ACC (2012)
James C. Spall
Cyclic Seesaw Process for Optimization and Identification. J. Optim. Theory Appl. 154 (1) (2012)
Qi Wang, James C. Spall
Discrete simultaneous perturbation stochastic approximation on loss function with noisy measurements. ACC (2011)
James C. Spall
Cyclic seesaw optimization with applications to state-space model identification. CISS (2011)
Coire J. Maranzano, James C. Spall
Framework for estimating system reliability from full system and subsystem tests with dependence on dynamic inputs. CDC/ECC (2011)
James C. Spall
Cyclic seesaw optimization and identification. CDC/ECC (2011)
Stacy D. Hill, James C. Spall, Coire J. Maranzano
Inequality-based reliability estimates for complex systems. ACC (2011)
James C. Spall
Convergence analysis for maximum likelihood-based reliability estimation from subsystem and full system tests. CDC (2010)
Sonjoy Das, James C. Spall, Roger G. Ghanem
Efficient Monte Carlo computation of Fisher information matrix using prior information. Comput. Stat. Data Anal. 54 (2) (2010)
Coire J. Maranzano, James C. Spall
Robust test design for reliability estimation with modeling error when combining full system and subsystem tests. ACC (2010)
Coire J. Maranzano, James C. Spall
Implementation and application of maximum likelihood reliability estimation from subsystem and full system tests. PerMIS (2010)
James C. Spall
Feedback and Weighting Mechanisms for Improving Jacobian Estimates in the Adaptive Simultaneous Perturbation Algorithm. IEEE Trans. Autom. Control. 54 (6) (2009)
James C. Spall
On Monte Carlo methods for estimating the fisher information matrix in difficult problems. CISS (2009)
Xumeng Cao, James C. Spall
Preliminary results in comparing the expected and observed Fisher information for maximum likelihood estimates. CISS (2009)
David W. Hutchison, James C. Spall
Stopping small-sample stochastic approximation. ACC (2009)
Xumeng Cao, James C. Spall
Preliminary results on relative performance of expected and observed fisher information. CDC (2009)
Coire J. Maranzano, James C. Spall
Optimum combination of full system and subsystem tests for estimating the reliability of a system. PerMIS (2009)
James C. Spall
System reliability estimation and confidence regions from subsystem and full system tests. ACC (2009)
I-Jeng Wang, James C. Spall
Stochastic optimisation with inequality constraints using simultaneous perturbations and penalty functions. Int. J. Control 81 (8) (2008)
Sonjoy Das, Roger G. Ghanem, James C. Spall
Asymptotic Sampling Distribution for Polynomial Chaos Representation from Data: A Maximum Entropy and Fisher Information Approach. SIAM J. Sci. Comput. 30 (5) (2008)
James C. Spall
Improved methods for Monte Carlo estimation of the fisher information matrix. ACC (2008)
Qing Song, James C. Spall, Yeng Chai Soh, Jie Ni
Robust Neural Network Tracking Controller Using Simultaneous Perturbation Stochastic Approximation. IEEE Trans. Neural Networks 19 (5) (2008)
James C. Spall
Reliability estimation and confidence regions from subsystem and full system tests via maximum likelihood. PerMIS (2008)
James C. Spall
Feedback and Weighting Mechanisms for Improving Jacobian Estimates in the Adaptive Simultaneous Perturbation Algorithm. CISS (2007)
Sonjoy Das, James C. Spall, Roger G. Ghanem
An efficient calculation of Fisher information matrix: Monte Carlo approach using prior information. CDC (2007)
Stacy D. Hill, James C. Spall
Variance of Bounds in Inequality-Based Reliability Estimates. ACC (2007)
Sonjoy Das, James C. Spall, Roger G. Ghanem
Efficient Monte Carlo computation of Fisher information matrix using prior information. PerMIS (2007)
James C. Spall
Feedback and weighting mechanisms for improving Jacobian (Hessian) estimates in the adaptive simultaneous perturbation algorithm. ACC (2006)
Sonjoy Das, Roger G. Ghanem, James C. Spall
Asymptotic Sampling Distribution for Polynomial Chaos Representation of Data: A Maximum Entropy and Fisher information approach. CDC (2006)
James C. Spall
Convergence Analysis for Feedback-and Weighting-Based Jacobian Estimates in the Adaptive Simultaneous Perturbation Algorithm. CDC (2006)
James C. Spall
Seesaw method for combining parameter estimates. ACC (2006)
James C. Spall, Stacy D. Hill, David R. Stark
Formal basis for algorithm comparisons in stochastic optimization. ACC (2005)
David W. Hutchison, James C. Spall
A Method for Stopping Nonconvergent Stochastic Approximation Processes. CDC/ECC (2005)
Stacy D. Hill, James C. Spall
Inequality-based estimates of systems reliability. ACC (2004)
David W. Hutchison, James C. Spall
Stochastic approximation in finite samples using surrogate processes. CDC (2004)
John L. Maryak, James C. Spall, Bryan D. Heydon
Use of the Kalman filter for inference in state-space models with unknown noise distributions. IEEE Trans. Autom. Control. 49 (1) (2004)
James C. Spall
Cramer-Rao bounds and Monte Carlo calculation of the Fisher information matrix in difficult problems. ACC (2004)
I-Jeng Wang, James C. Spall
Stochastic optimization with inequality constraints using simultaneous perturbations and penalty functions. CDC (2003)
Qing Song, James C. Spall, Yeng Chai Soh
Robust neural network tracking controller using simultaneous perturbation stochastic approximation. CDC (2003)
David R. Stark, James C. Spall
Rate of convergence in evolutionary computation. ACC (2003)
James C. Spall
Monte Carlo-based computation of the Fisher information matrix in nonstandard settings. ACC (2003)
James C. Spall
Estimation via Markov chain Monte Carlo. ACC (2002)
James C. Spall, Stacy D. Hill, David R. Stark
Theoretical framework for comparing several popular stochastic optimization approaches. ACC (2002)
David R. Stark, James C. Spall
Computable bounds on the rate of convergence in evolutionary computation. ACC (2001)
James C. Spall, Stacy D. Hill, David R. Stark
Some theoretical comparisons of stochastic optimization approaches. ACC (2000)
James C. Spall, Stacy D. Hill, David R. Stark
First Results on Formal Comparison of Several Stochastic Optimization Algorithms. Annual Simulation Symposium (2000)
Stacy D. Hill, James C. Spall
Inequality-based reliability estimates for complex systems. ACC (2000)
James C. Spall
Adaptive stochastic approximation by the simultaneous perturbation method. IEEE Trans. Autom. Control. 45 (10) (2000)
Payman Sadegh, James C. Spall
Correction to "Optimal random perturbations for stochastic approximation using a simultaneous perturbation gradient approximation". IEEE Trans. Autom. Control. 44 (1) (1999)
James C. Spall
Stochastic optimization and the simultaneous perturbation method. WSC (1999)
James C. Spall, Stacy D. Hill, David R. Stark
Theoretical comparisons of evolutionary computation and other optimization approaches. CEC (1999)
James C. Spall
Review Of Stochastic Approximation Algorithms And Applications [Book Reviews]. Proc. IEEE 87 (4) (1999)
James C. Spall, John A. Cristion
Model-free control of nonlinear stochastic systems with discrete-time measurements. IEEE Trans. Autom. Control. 43 (9) (1998)
Payman Sadegh, James C. Spall
Optimal random perturbations for stochastic approximation using a simultaneous perturbation gradient approximation. IEEE Trans. Autom. Control. 43 (10) (1998)
James C. Spall
A one-measurement form of simultaneous perturbation stochastic approximation. Autom. 33 (1) (1997)

James C. Spall.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

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James C. Spall