D. Rollins

发表

Unbiased estimation of gross errors in process measurements

James F. Davis, D. Rollins, 1992 .

A continuous-time nonlinear dynamic predictive modeling method for Hammerstein processes

G. M. Colver, D. Rollins, N. Bhandari, 2003 .

Parameter Estimation for the Wiener Dynamic System With Unmeasured Continuous-Time Correlated Stochastic Disturbances

D. Rollins, Huaiqin Wu, Dongmei Zhai, 2005 .

Modeling rutting susceptibility of asphalt pavement using principal component pseudo inputs in regression and neural networks

D. Rollins, M. Aslani, V. Schaefer, 2018 .

A superior approach to indices in determining mixture segregation

D. Rollins, Donna L. Faust, Duane L. Jabas, 1995 .

Block-Oriented Continuous-Time Modelling For Nonlinear Systems Under Sinusoidal Inputs

D. Rollins, N. Bhandari, Dongmei Zhai, 2008 .

Dynamic Modeling With Correlated Inputs: Theory, Method, and Experimental Demonstration

D. Rollins, Yong Mei, A. Roggendorf, 2015 .

Gross error detection when variance-covariance matrices are unknown

James F. Davis, Derrick K. Rollins, D. Rollins, 1993 .

A new feedback predictive control approach for processes with time delay in the manipulated variable

D. Rollins, Yong Mei, 2018, Chemical Engineering Research and Design.

Development of a Model-Based Noninvasive Glucose Monitoring Device for Non-Insulin Dependent People

Lucas P. Beverlin, Nisarg Vyas, Dave Andre, 2014 .

A random particle model for catalyst dilution

D. Rollins, L. Doraiswamy, O. A. Sofekun, 1994 .

Detecting powder mixture inhomogeneity for non-normal measurement errors

D. Rollins, Jennifer J. Walker, 1997 .

∂ ∂ ∂ − ∂ ∂ ∂ ∂

D. Rollins, N. Bhandari, S. Chin, 2005 .

Principal component analysis-based predictive modeling and optimization of permanent deformation in asphalt pavement: elimination of correlated inputs and extrapolation in modeling

D. Rollins, M. Aslani, R. Williams, 2018, Structural and Multidisciplinary Optimization.

Spatial-Temporal Semi-Empirical Dynamic Modelling of Thermal Gradient CVI Processes

D. Rollins, A. Jones, D. J. Rollins, 2007 .

A novel data mining method to identify assay-specific signatures in functional genomic studies

Dongmei Zhai, Derrick K. Rollins, Alrica L. Joe, 2006, BMC Bioinformatics.

TNFα regulates intestinal organoids from mice with both defined and conventional microbiota.

D. Rollins, Qun Wang, G. Phillips, 2020, International journal of biological macromolecules.

Adaptive system identification for estimating future glucose concentrations and hypoglycemia alarms

Ali Cinar, Derrick K. Rollins, Meriyan Eren-Oruklu, 2012, Autom..

Multiple-Input Subject-Specific Modeling of Plasma Glucose Concentration for Feedforward Control

Ali Cinar, Elizabeth Littlejohn, Laurie Quinn, 2014, Industrial & engineering chemistry research.

Predicting Dynamic Modulus of Asphalt Mixture Using Data Obtained from Indirect Tension Mode of Testing pdf

R. Christopher Williams, Parnian Ghasemi, Shibin Lin, 2019, ArXiv.

Use of Discrete-Time Forecast Modeling to Enhance Feedback Control and Physically Unrealizable Feedforward Control with Applications

Derrick K. Rollins, D. Rollins, 2021, Model Predictive Control - Recent Design and Implementations for Varied Applications [Working Title].

Block-oriented feedforward control with demonstration to nonlinear parameterized Wiener modeling

Yong Mei, Derrick K. Rollins, Nidhi Bhandari, 2016 .

Hypoglycemia Early Alarm Systems Based On Multivariable Models.

Ali Cinar, Elizabeth Littlejohn, Kamuran Turksoy, 2013, Industrial & engineering chemistry research.

Optimal Experimental Design for Human Thermoregulatory System Identification

Derrick K. Rollins, S. Hulting, Nidhi Bhandari, 2006 .

Accurate semi-empirical predictive modeling of an underdamped process

Derrick K. Rollins, M McNaughton, C. M Schulze-Hewett, 1999 .

Statistical Insights Regarding Fully Softened Shear Strength

D. Rollins, Yuderka Trinidad González, V. Schaefer, 2020, Geotechnical and Geological Engineering.

Measurement bias detection in linear dynamic systems

Derrick K. Rollins, Sriram Devanathan, Ma.Victoria B. Bascuñana, 2002 .

System identification of the human thermoregulatory system using continuous-time block-oriented predictive modeling

Derrick K. Rollins, D. Rollins, Nidhi Bhandar, 2006 .

Integrability aspects of a dynamical system in magnetohydrodynamics

D. Rollins, B. Shivamoggi, 2002 .

A new approach for improved identification of measurement bias

Stephen B. Vardeman, Derrick K. Rollins, Sriram Devanathan, 2000 .

Critical modeling issues for successful feedforward control of blood glucose in insulin dependent diabetics

D.K. Rollins, N. Bhandari, K.R. Kotz, 2008, 2008 American Control Conference.

Estimating a minimum set of physically based dynamic parameters to enhance statistical inference in block-oriented modeling

Derrick K. Rollins, Gabrielle L. Larson, D. Rollins, 2008, Comput. Chem. Eng..

An Unrestricted Algorithm for Accurate Prediction of Multiple-Input Multiple-Output (MIMO) Wiener Processes

Derrick K. Rollins, Swee-Teng Chin, Nidhi Bhandari, 2004 .

Constrained MIMO dynamic discrete-time modeling exploiting optimal experimental design

Derrick K. Rollins, Nidhi Bhandari, D. Rollins, 2004 .

Continuous-Time Multiple-Input, Multiple-Output Wiener Modeling Method

Derrick K. Rollins, Nidhi Bhandari, D. Rollins, 2003 .

Optimal Deterministic Transfer Function Modelling in the Presence of Serially Correlated Noise

Derrick K. Rollins, Swee-Teng Chin, Nidhi Bhandari, 2006 .

Modeling and Identification , Session : 10 B 02 Accurate Model Identification for Non-Invertible MIMO Sandwich Block-Oriented Processes

D. Rollins, S. Chin, 2006 .

A Continuous-Time Hammerstein Approach Working with Statistical Experimental Design

Derrick K. Rollins, D. Rollins, 2003 .

Intelligent selection of hypothesis tests to enhance gross error identification

Derrick K. Rollins, Sriram Devanathan, Yisun Cheng, 1996 .

An algorithm for optimally fitting a wiener model

Derrick K. Rollins, Nisarg Vyas, Lucas P. Beverlin, 2011 .

Free-living inferential modeling of blood glucose level using only noninvasive inputs

Derrick K. Rollins, Nidhi Bhandari, Greg Welk, 2010 .

Determining juvenile cancer types from gene expression using gene contribution and differential analysis

Eric S. Hald, D. Rollins, R. J. Stoner, 2014 .

Hypoglycemia Early Alarm Systems Based on Recursive Autoregressive Partial Least Squares Models

Ali Cinar, Elizabeth Littlejohn, Kamuran Turksoy, 2013, Journal of diabetes science and technology.

A STUDY OF EXPERIMENTAL DESIGN OPTIMALITY FOR WIENER SYSTEMS

Derrick K. Rollins, Swee-Teng Chin, Aulia Hardjasamudra, 2007 .

Assessing Diagnostic Error of Factors of Safety of Slopes Applying Bayesian Inference

Vernon R. Schaefer, Derrick K. Rollins, Yuderka Trinidad González, 2021 .

Applications of Statistical Design of Experiments to Study the Factor of Safety of Unreinforced Slopes

Vernon R. Schaefer, Derrick K. Rollins, Yuderka Trinidad González, 2021 .

Statistical Assessment of Factor of Safety for Pile-Reinforced Slopes

D. Rollins, Yuderka Trinidad González, V. Schaefer, 2020 .

Factors Controlling the Fully Softened Shear Strength: A Statistical Assessment

Yuderka Trinidad González, D. Rollins, V. Schaefer, 2021, IFCEE 2021.

A Quantitative Measure to Evaluate Competing Designs for Non‐linear Dynamic Process Identification

Derrick K. Rollins, Nidhi Bhandari, Liza Pacheco, 2008 .

Continuous-time Hammerstein and Wiener modeling under second-order static nonlinearity for periodic process signals

Derrick K. Rollins, Nidhi Bhandari, Dongmei Zhai, 2006, Comput. Chem. Eng..

Gross error detection when constraints are bilinear

Derrick K. Rollins, D. Rollins, Shonda D. Roelfs, 1992 .