Derrick K. Rollins

发表

Computational issues in gross error detection and data reconciliation

Derrick K. Rollins, Sriram Devanathan, 1993 .

Detection of equipment faults in automatically controlled processes

Victoria C. P. Chen, Derrick K. Rollins, Yisun Cheng, 1996 .

Powerful and Novel Nonlinear Modeling and Multivariate Statistical Approaches in Big Data Sets in Chemical Processes and in Data Mining with Applications to Bio-, Medical-, and Material-Informatics

Derrick K. Rollins, 2019 .

Optimal Experimental Design for Human Thermoregulatory System Identification

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

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..

Issues regarding artificial neural network modeling for reactors and fermenters

Victoria C. P. Chen, Derrick K. Rollins, 2000 .

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

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

Accurate simplistic predictive modeling of nonlinear dynamic processes

Derrick K. Rollins, Jian Mei Liang, Patricia Smith, 1997 .

Adaptive system identification for estimating future glucose concentrations and hypoglycemia alarms

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

A One-Dimensional PCA Approach for Classifying Imbalanced Data

Derrick K. Rollins, Varayini Pankayatselvan, 2015 .

A new approach for improved identification of measurement bias

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

Comparative study between linear regression and artificial neural networks in modeling an industrial grain dryer

Victoria C. P. Chen, Derrick K. Rollins, J. M. Liang, 1996 .

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

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

An Extended Static and Dynamic Feedback–Feedforward Control Algorithm for Insulin Delivery in the Control of Blood Glucose Level

Ali Cinar, Elizabeth Littlejohn, Derrick K. Rollins, 2015 .

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

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

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

Derrick K. Rollins, R. C. Williams, Parnian Ghasemi, 2019 .

Gross Error Detection Strategies when Constraints are Bilinear

Victoria C. P. Chen, Derrick K. Rollins, Shonda Roelfs Kuiper, 1997 .

Measurement bias detection in linear dynamic systems

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

Principal Component Neural Networks for Modeling, Prediction, and Optimization of Hot Mix Asphalt Dynamics Modulus

Derrick K. Rollins, Parnian Ghasemi, Mohamad Aslani, 2019 .

Continuous-Time Block-Oriented Adaptive on-Line Modeling for Time Varying Systems

Derrick K. Rollins, Stephanie D. Loveland, 2005 .

Constrained MIMO dynamic discrete-time modeling exploiting optimal experimental design

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

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

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

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..

Simulation Studies Comparing Feedback Predictive Control to Model Predictive Control for Unmeasured Disturbances in the Artificial Pancreas Application

Yong Mei, Derrick K. Rollins, Trinh Huynh, 2019 .

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

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

A Continuous-Time Hammerstein Approach Working with Statistical Experimental Design

Derrick K. Rollins, D. Rollins, 2003 .

Critical issues in data collection and conditions when fitting predictive neural network models for dynamic processes

Victoria C. P. Chen, Derrick K. Rollins, J. Heldt, 1996 .

Unbiased estimates of measured process variables when measurement biases and process leaks are present

Derrick K. Rollins, 1990 .

Accurate semi-empirical predictive modeling of an underdamped process

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

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 .

Gross error detection when variance-covariance matrices are unknown

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

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

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

Accurate Identification of Biased Measurements Under Serial Correlation

Derrick K. Rollins, R. Kongsjahju, M. B. Bascuñana, 2000 .

Likelihood and Bayesian Methods for Accurate Identification of Measurement Biases in Pseudo Steady-State Processes

Stephen B. Vardeman, Derrick K. Rollins, Sriram Devanathan, 2005 .

An algorithm for optimally fitting a wiener model

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

Intelligent selection of hypothesis tests to enhance gross error identification

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

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

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

Unbiased estimation in dynamic data reconciliation

Derrick K. Rollins, Sriram Devanathan, 1993 .

Gross error detection when constraints are bilinear

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

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

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