James C. Spall

发表

Error bound analysis of the least-mean-squares algorithm in linear models

Jingyi Zhu, James C. Spall, 2015, 2015 49th Annual Conference on Information Sciences and Systems (CISS).

Beyond the identification of reliability for system with binary subsystems

Long Wang, James C. Spall, 2017, 2017 American Control Conference (ACC).

Cyclic seesaw optimization with applications to state-space model identification

James C. Spall, J. Spall, 2011, 2011 45th Annual Conference on Information Sciences and Systems.

Preliminary results in comparing the expected and observed Fisher information for maximum likelihood estimates

James C. Spall, Xumeng Cao, 2009, 2009 43rd Annual Conference on Information Sciences and Systems.

Reliability estimation and confidence regions from subsystem and full system tests via maximum likelihood

James C. Spall, J. Spall, 2008, PerMIS.

A constrained simultaneous perturbation stochastic approximation algorithm based on penalty functions

I-Jeng Wang, James C. Spall, 1998, Proceedings of the 1998 IEEE International Symposium on Intelligent Control (ISIC) held jointly with IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA) Intell.

Stochastic optimization and the simultaneous perturbation method

James C. Spall, J. Spall, 1999, WSC '99.

EVALUATION AND PRACTICAL CONSIDERATIONS FOR THE S-TRAC SYSTEM-WIDE TRAFFIC SIGNAL CONTROL

James C. Spall, D. C. Chin, Richard H Smith, 1998 .

Simultaneous Perturbation Stochastic Approximation

James C. Spall, J. Spall, 2005 .

Error Estimation for the Particle Filter

Ziyu Liu, James C. Spall, 2019, 2019 53rd Annual Conference on Information Sciences and Systems (CISS).

Simulation-based examination of the limits of performance for decentralized multi-agent surveillance and tracking of undersea targets

James C. Spall, Cameron K. Peterson, Andrew J. Newman, 2014, Defense + Security Symposium.

Probabilistic Bounds in Tracking a Discrete-Time Varying Process

Jingyi Zhu, James C. Spall, 2018, 2018 IEEE Conference on Decision and Control (CDC).

Model-free control of nonlinear stochastic systems in discrete time

James C. Spall, J. A. Cristion, 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

Computable bounds on the rate of convergence in evolutionary computation

D. R. Stark, James C. Spall, 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).

Appendix E. Markov Processes

James C. Spall, 2005 .

Markov Chain Monte Carlo

James C. Spall, J. Spall, 2005 .

Evaluation of system-wide traffic signal control using stochastic optimization and neural networks

James C. Spall, D. C. Chin, Richard H. Smith, 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).

Stochastic optimisation with inequality constraints using simultaneous perturbations and penalty functions

I-Jeng Wang, James C. Spall, J. Spall, 2008, Int. J. Control.

Cyclic seesaw optimization and identification

James C. Spall, 2011, IEEE Conference on Decision and Control and European Control Conference.

System identification for multi-sensor data fusion

James C. Spall, Karla Hernandez, 2015, 2015 American Control Conference (ACC).

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

James C. Spall, John L. Maryak, Geoffrey L. Silberman, 1995, Autom..

Simulation‐Based Optimization I: Regeneration, Common Random Numbers, and Selection Methods

James C. Spall, 2005 .

Relative performance of expected and observed fisher information in covariance estimation for maximum likelihood estimates

James C. Spall, Xumeng Cao, 2012, 2012 American Control Conference (ACC).

Asymptotic normality and uncertainty bounds for reliability estimates from subsystem and full system tests

James C. Spall, J. Spall, 2012, 2012 American Control Conference (ACC).

Convergence analysis for maximum likelihood-based reliability estimation from subsystem and full system tests

James C. Spall, 2010, 49th IEEE Conference on Decision and Control (CDC).

Issues in Stochastic Search and Optimization

James C. Spall, 2004 .

NEURAL NETWORK APPROACH TO LOCATING ACOUSTIC EMISSION SOURCES IN NON-DESTRUCTIVE EVALUATION

James C. Spall, M. S. Asher, J. L. Maryak, 1998 .

Validation of State Space Models in Non-Gaussian Systems

James C. Spall, 1984, 1984 American Control Conference.

Rate of convergence analysis of discrete simultaneous perturbation stochastic approximation algorithm

Qi Wang, James C. Spall, 2013, 2013 American Control Conference.

Stopping small-sample stochastic approximation

James C. Spall, David W. Hutchison, 2009, 2009 American Control Conference.

First results on formal comparison of several stochastic optimization algorithms

James C. Spall, David R. Stark, Stacy D. Hill, 2000, Proceedings 33rd Annual Simulation Symposium (SS 2000).

Maximum likelihood-based estimation of parameters in systems with binary subsystems

James C. Spall, J. Spall, 2013, 2013 47th Annual Conference on Information Sciences and Systems (CISS).

Generalization of a Result of Fabian on the Asymptotic Normality of Stochastic Approximation

James C. Spall, Karla Hernandez, J. Spall, 2019, Autom..

AN OVERVIEW OF THE SIMULTANEOUS PERTURBATION METHOD FOR EFFICIENT OPTIMIZATION

James C. Spall, J. Spall, 1998 .

Tracking capability of stochastic gradient algorithm with constant gain

Jingyi Zhu, James C. Spall, 2016, 2016 IEEE 55th Conference on Decision and Control (CDC).

System reliability estimation and confidence regions from subsystem and full system tests

James C. Spall, J. Spall, 2009, 2009 American Control Conference.

Framework for estimating system reliability from full system and subsystem tests with dependence on dynamic inputs

James C. Spall, Coire J. Maranzano, J. Spall, 2011, IEEE Conference on Decision and Control and European Control Conference.

Optimal Design for Experimental Inputs

James C. Spall, 2005 .

On Monte Carlo methods for estimating the fisher information matrix in difficult problems

James C. Spall, J. Spall, 2009, 2009 43rd Annual Conference on Information Sciences and Systems.

Evolutionary Computation I: Genetic Algorithms

James C. Spall, 2005 .

Introduction to stochastic search and optimization - estimation, simulation, and control

James C. Spall, J. Spall, 2003, Wiley-Interscience series in discrete mathematics and optimization.

Mixed Simultaneous Perturbation Stochastic Approximation for Gradient-Free Optimization with Noisy Measurements

Long Wang, Jingyi Zhu, James C. Spall, 2018, 2018 Annual American Control Conference (ACC).

Developments in stochastic optimization algorithms with gradient approximations based on function measurements

James C. Spall, J. Spall, 1994, Proceedings of Winter Simulation Conference.

Stationarity and Convergence of the Metropolis-Hastings Algorithm: Insights into Theoretical Aspects

James C. Spall, Stacy D. Hill, J. Spall, 2019, IEEE Control Systems.

Rate of convergence in evolutionary computation

D. R. Stark, James C. Spall, J. Spall, 2003, Proceedings of the 2003 American Control Conference, 2003..

Stochastic version of second-order (Newton-Raphson) optimization using only function measurements

James C. Spall, 1995, WSC '95.

Model Selection and Statistical Information

James C. Spall, 2005 .

TRAFFIC-RESPONSIVE SIGNAL TIMING FOR SYSTEM-WIDE TRAFFIC CONTROL

James C. Spall, D. C. Chin, 1997 .

FACTORIAL DESIGN FOR EFFICIENT EXPERIMENTATION: GENERATING INFORMATIVE DATA FOR SYSTEM IDENTIFICATION

James C. Spall, J. Spall, 2010 .

Efficient computation of the Fisher information matrix in the EM algorithm

James C. Spall, Lingyao Meng, J. Spall, 2017, 2017 51st Annual Conference on Information Sciences and Systems (CISS).

Parameter estimation for systems with binary subsystems

James C. Spall, J. Spall, 2013, 2013 American Control Conference.

Efficient Weight Estimation in Neural Networks for Adaptive Control

James C. Spall, John A. Cristion, 1991, 1991 American Control Conference.

Efficient Monte Carlo computation of Fisher information matrix using prior information

James C. Spall, Sonjoy Das, Roger Ghanem, 2007, Comput. Stat. Data Anal..

Correction to "Optimal random perturbations for stochastic approximation using a simultaneous perturbation gradient approximation"

Payman Sadegh, James C. Spall, 1999, IEEE Trans. Autom. Control..

Identification for Systems With Binary Subsystems

James C. Spall, J. Spall, 2014, IEEE Transactions on Automatic Control.

Adaptive model fitting with time-varying input variables

James C. Spall, 1999, Proceedings of the 1999 American Control Conference (Cat. No. 99CH36251).

Introduction to stochastic search and optimization - estimation, simulation, and control

James C. Spall, J. Spall, 2003, Wiley-Interscience series in discrete mathematics and optimization.

Efficient Implementation of Second-Order Stochastic Approximation Algorithms in High-Dimensional Problems

Jingyi Zhu, James C. Spall, Long Wang, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Modeling Traffic Networks Using Integrated Route and Link Data pdf

James C. Spall, Xilei Zhao, 2018, ArXiv.

IEEE Transactions on Automatic Control

Fernando Paganini, Miroslav Krstic, Magnus Egerstedt, 2006 .

The information matrix in control: computation and some applications

James C. Spall, J. Spall, 1999, Proceedings of the 38th IEEE Conference on Decision and Control (Cat. No.99CH36304).

Asymptotic Sampling Distribution for Polynomial Chaos Representation of Data: A Maximum Entropy and Fisher information approach

Roger Ghanem, James C. Spall, Sonjoy Das, 2006, CDC.

Integrated stochastic optimization and statistical experimental design for multi-robot target tracking

Timothy H. Chung, James C. Spall, J. Spall, 2015, 2015 Winter Simulation Conference (WSC).

Efficient implementation of enhanced adaptive simultaneous perturbation algorithms

Jingyi Zhu, James C. Spall, Pushpendre Rastogi, 2016, 2016 Annual Conference on Information Science and Systems (CISS).

SPSA Method Using Diagonalized Hessian Estimate

James C. Spall, Shiqing Sun, J. Spall, 2019, 2019 IEEE 58th Conference on Decision and Control (CDC).

A model-free approach to optimal signal light timing for system-wide traffic control

James C. Spall, D. C. Chin, 1994, Proceedings of 1994 33rd IEEE Conference on Decision and Control.

Multilevel Data Integration with Application in Sensor Networks

James C. Spall, Long Wang, 2020, 2020 American Control Conference (ACC).

Robust Neural Network Tracking Controller Using Simultaneous Perturbation Stochastic Approximation

Yeng Chai Soh, Qing Song, James C. Spall, 2008, IEEE Transactions on Neural Networks.

A neural network controller for systems with unmodeled dynamics with applications to wastewater treatment

James C. Spall, John A. Cristion, 1997, IEEE Trans. Syst. Man Cybern. Part B.

An efficient calculation of Fisher information matrix: Monte Carlo approach using prior information

Roger G. Ghanem, James C. Spall, Sonjoy Das, 2007, 2007 46th IEEE Conference on Decision and Control.

Cyclic stochastic optimization with noisy function measurements

James C. Spall, Karla Hernandez, J. Spall, 2014, 2014 American Control Conference.

Optimum combination of full system and subsystem tests for estimating the reliability of a system

James C. Spall, Coire J. Maranzano, J. Spall, 2009, PerMIS.

Asymptotic Sampling Distribution for Polynomial Chaos Representation of Data: A Maximum Entropy and Fisher information approach

Roger G. Ghanem, James C. Spall, Sonjoy Das, 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

Adaptive stochastic approximation by the simultaneous perturbation method

James C. Spall, J. Spall, 2000, IEEE Trans. Autom. Control..

Combining Subsystem and Full System Data with Application to Cold-Formed Steel Shear Wall

Long Wang, Benjamin W. Schafer, James C. Spall, 2018, 2018 Annual American Control Conference (ACC).

Estimating travel time in urban traffic by modeling transportation network systems with binary subsystems

James C. Spall, Xilei Zhao, 2016, 2016 American Control Conference (ACC).

Asymptotic normality and efficiency analysis of the cyclic seesaw stochastic optimization algorithm

James C. Spall, Karla Hernandez, J. Spall, 2016, 2016 American Control Conference (ACC).

Implementation and application of maximum likelihood reliability estimation from subsystem and full system tests

James C. Spall, Coire J. Maranzano, J. Spall, 2010, PerMIS.

Multi-agent surveillance and tracking using cyclic stochastic gradient

James C. Spall, Andrew J. Newman, Carsten H. Botts, 2016, 2016 American Control Conference (ACC).

The Kantorovich inequality for error analysis of the Kalman filter with unknown noise distributions

James C. Spall, 1995, Autom..

Preliminary results on relative performance of expected and observed fisher information

James C. Spall, Xumeng Cao, J. Spall, 2009, Proceedings of the 48h IEEE Conference on Decision and Control (CDC) held jointly with 2009 28th Chinese Control Conference.

Feedback and Weighting Mechanisms for Improving Jacobian Estimates in the Adaptive Simultaneous Perturbation Algorithm

James C. Spall, J. Spall, 2007, IEEE Transactions on Automatic Control.

Distribution Estimation for Stochastic Approximation in Finite Samples Using A Surrogate Stochastic Differential Equation Method

Shuyu Liu, James C. Spall, Yingze Hou, 2019, 2019 53rd Annual Conference on Information Sciences and Systems (CISS).

Feedback and Weighting Mechanisms for Improving Jacobian Estimates in the Adaptive Simultaneous Perturbation Algorithm

James C. Spall, 2009, IEEE Trans. Autom. Control..

Annealing‐Type Algorithms

James C. Spall, 2005 .

Review of Stochastic Approximation Algorithms and Applica

James C. Spall, H. J. Kushner, G. G. Yin, 1999 .

Confidence Intervals with Expected and Observed Fisher Information in the Scalar Case

James C. Spall, Xiangyu Yuan, 2020, 2020 American Control Conference (ACC).

Discrete simultaneous perturbation stochastic approximation for resource allocation in public health

Qi Wang, James C. Spall, J. Spall, 2014, 2014 American Control Conference.

A one-measurement form of simultaneous perturbation stochastic approximation

James C. Spall, J. Spall, 1997, Autom..

A Markovian Framework for Modeling Dynamic Network Traffic

James C. Spall, Xilei Zhao, 2018, 2018 Annual American Control Conference (ACC).

Control of Complex Dynamic Systems by Neural Networks

James C. Spall, John A. Cristion, J. Spall, 1993 .

A neural network approach to nondestructive evaluation of complex structures, with application to highway bridges

James C. Spall, M. S. Asher, J. L. Maryak, 1996, Proceedings of International Conference on Neural Networks (ICNN'96).

Use of the Kalman filter for inference in state-space models with unknown noise distributions

J. L. Maryak, James C. Spall, John L. Maryak, 1996, IEEE Transactions on Automatic Control.

Error Analysis for the Particle Filter

James C. Spall, Ziyu Liu, Shihong Wei, 2019, 2019 American Control Conference (ACC).

Efficient Monte Carlo computation of Fisher information matrix using prior information

Roger G. Ghanem, James C. Spall, Sonjoy Das, 2010, Comput. Stat. Data Anal..

Cyclic Seesaw Process for Optimization and Identification

James C. Spall, J. Spall, 2012, J. Optim. Theory Appl..

Connection of Diagonal Hessian Estimates to Natural Gradients in Stochastic Optimization

James C. Spall, Shiqing Sun, J. Spall, 2021, 2021 55th Annual Conference on Information Sciences and Systems (CISS).

Improved SPSA Using Complex Variables with Applications in Optimal Control Problems

James C. Spall, J. Spall, Long Wang, 2021, 2021 American Control Conference (ACC).

Probabilistic Bounds for a Class of Filtering Algorithms in the Scalar Case

James C. Spall, Shihong Wei, 2021, 2021 American Control Conference (ACC).

SQP-based Projection SPSA Algorithm for Stochastic Optimization with Inequality Constraints

James C. Spall, Jiahao Shi, 2021, 2021 American Control Conference (ACC).

Improved Monte Carlo Estimation of the Fisher Information Matrix with Independent Perturbations

James C. Spall, J. Spall, Xuan Wu, 2021, 2021 55th Annual Conference on Information Sciences and Systems (CISS).

Comparison between Expected and Observed Fisher Information in Interval Estimation

James C. Spall, Sihang Jiang, J. Spall, 2021, 2021 55th Annual Conference on Information Sciences and Systems (CISS).

Use of the Kalman Filterfor Inference in State-Space Models with Unknown Noise Distributions

James C. Spall, John L. Maryak, Bryan D. Heydon, 1996 .

System Understanding and Statistical Uncertainty Bounds from Limited Test Data

James C. Spall, J. Spall, 1997 .

Uncertainty Bounds in Parameter Estimation with Limited Data

James C. Spall, J. Spall, 2005 .

Least-informative Bayesian prior distributions for finite samples based on information theory

S. D. Hill, James C. Spall, 1990 .

Inequality-based reliability estimates for complex systems

James C. Spall, Stacy D. Hill, Coire J. Maranzano, 2011, Proceedings of the 2011 American Control Conference.

An implicit function based procedure for analyzing maximum likelihood estimates from nonidentically distributed data

James C. Spall, J. Spall, 1985 .

Effect of the sample on the posterior probability in bayesian analysis

James C. Spall, 1988 .

Stochastic Search and Optimization: Motivation and Supporting Results

James C. Spall, 2005 .

[That BLUP is a Good Thing: The Estimation of Random Effects]: Comment: The Kalman Filter and BLUP

James C. Spall, 1991 .

Effect of imprecisely known nuisance parameters on estimates of primary parameters

James C. Spall, J. Spall, 1989 .

Estimation via Markov chain Monte Carlo

James C. Spall, J. Spall, 2002, Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).

First-order data sensitivity measures with applications to a multivariate signal-plus-noise problem

James C. Spall, D. C. Chin, J. Spall, 1990 .

Parameter identification for state-space models with nuisance parameters

James C. Spall, J. Spall, J. P. Garner, 1990 .

Stopping times and confidence bounds for small-sample stochastic approximation algorithms

James C. Spall, David W. Hutchison, 2009 .

The distribution of nonstationary autoregressive processes under general noise conditions

James C. Spall, 1993, Proceedings of 32nd IEEE Conference on Decision and Control.

Validation of state-space models from a single realization of non-Gaussian measurements

James C. Spall, J. Spall, 1985 .

On system identification with nuisance parameters

James C. Spall, D. C. Chin, 1994, Proceedings of 1994 American Control Conference - ACC '94.

Identification of State-Space Parameters in the Presence of Uncertain Nuisance Parameters

James C. Spall, John P. Garner, 1989, 1989 American Control Conference.

Wiley‐Interscience Series in Discrete Mathematics and Optimization

James C. Spall, 2005 .

The Kantorovich inequality for error analysis of the Kalman filter with unknown noise distributions

James C. Spall, J. Spall, 1995, Proceedings of 1995 34th IEEE Conference on Decision and Control.

Least-informative Bayesian prior distributions for finite samples based on information theory

S. D. Hill, James C. Spall, J. Spall, 1989, Proceedings of the 28th IEEE Conference on Decision and Control,.

Conditions for the insensitivity of the Bayesian posterior distribution to the choice of prior distribution

J. L. Maryak, James C. Spall, John L. Maryak, 1987 .