11127 - 11128 |
Preface to the Sirish L. Shah Festschrift Ogunnaike BA, Tangirala AK |
11129 - 11148 |
Functional Modeling View on Product and Process Engineering in Design and Operations Jorgensen SB, Lind M, Jensen N |
11149 - 11163 |
A Perspective on the Impact of Process Systems Engineering on Reaction Engineering Sivaramakrishnan K, Puliyanda A, Tefera DT, Ganesh A, Thirumalaivasan S, Prasad V |
11164 - 11174 |
Chemical Process Simulation Using OpenModelica Nayak P, Dalve P, Sai RA, Jain R, Moudgalya KM, Naren PR, Fritzson P, Wagner D |
11175 - 11186 |
Input Design for Continuous Time Output Error Models Varanasi SK, Manchikatla C, Jampana P |
11187 - 11198 |
A Dynamic Response Surface Model for Polymer Grade Transitions in Industrial Plants Wang ZY, Georgakis C |
11199 - 11212 |
Dynamic Optimization of Reaction Systems via Exact Parsimonious Input Parameterization Rodrigues D, Bonvin D |
11213 - 11223 |
Supervised Diagnosis of Quality and Process Faults with Canonical Correlation Analysis Zhu QQ, Qin SJ |
11224 - 11233 |
Nonlinear Model Identification and Data Reconciliation Using Kernel Principal Component Regression Marimuthu K, Narasimhan S |
11234 - 11250 |
Improving Root Cause Analysis by Detecting and Removing Transient Changes in Oscillatory Time Series with Application to a 1,3-Butadiene Process Zhou BF, Chioua M, Bauer M, Schlake JC, Thornhill NF |
11251 - 11260 |
A New Method for Alarm Monitoring of Equipment Start-Up Operations with Applications to Pumps Zhou BY, Hu WK, Chen TW |
11261 - 11274 |
Preprocessing of Alarm Data for Data Mining Mannani Z, Izadi I, Ghadiri N |
11275 - 11294 |
Efficient Reconstruction of Granger-Causal Networks in Linear Multivariable Dynamical Processes Kathari S, Tangirala AK |
11295 - 11302 |
Univariate Model-Based Deadband Alarm Design for Nonlinear Processes Tulsyan A, Gopaluni RB |
11303 - 11315 |
Hierarchical Multilabel Segmentation for System Identification Using Historical Data Manikandan S, Rengaswamy R |
11316 - 11325 |
Control Valve Stiction Compensation - Part I: A New Method for Compensating Control Valve Stiction Nahid A, Iftakher A, Choudhury MAAS |
11326 - 11337 |
Control Valve Stiction Compensation - Part II: Performance Analysis of Different Stiction Compensation Methods Nahid A, Iftakher A, Choudhury MAAS |
11338 - 11351 |
Applications of Advanced Analytics at Saudi Aramco: A Practitioners' Perspective Patwardhan RS, Hamadah HA, Patel KM, Hafiz RH, Al-Gwaiz MM |
11352 - 11363 |
Hierarchically Distributed Monitoring for the Early Prediction of Gas Flare Events Fang MQ, Ibrahim F, Kodamana H, Huang B, Bell N, Nixon M |
11364 - 11381 |
Robust Trajectory Tracking in a Reactive Batch Distillation Process using Multirate Nonlinear Internal Model Control Reddy PS, Patwardhan SC, Rani KY |
11382 - 11391 |
Output Feedback-Based Output Tracking Control with Adaptive Output Predictive Feedforward for Multiple-Input Multiple-Output Systems Mizumoto I, Fujii S, Mita H |
11392 - 11406 |
Modeling and Predictive Control of an Integrated Reformer-Membrane-Fuel Cell-Battery Hybrid Dynamic System Pravin PS, Bhartiya S, Gudio RD |
11407 - 11418 |
Chance-Constrained Model Predictive Control for SAGD Process Using Robust Optimization Approximation Shen WH, Li ZK, Huang B, Jan NM |
11419 - 11429 |
Design and Application of a Database-Driven PID Controller with Data-Driven Updating Algorithm Wakitani S, Yamamoto T, Gopaluni B |
11430 - 11439 |
Industrial PID Control Loop Data Repository and Comparison of Fault Detection Methods Bauer M, Auret L, di Capaci RB, Horch A, Thornhill NF |
11440 - 11451 |
Design of a Data-Oriented Performance Driven Control System Based on the Generalized Minimum Variance Control Law Kinoshita T, Ohnishi Y, Yamamoto T, Shah SL |
11452 - 11473 |
Machine Direction Adaptive Control on a Paper Machine Rippon LD, Lu QG, Forbes MG, Gopaluni RB, Loewen PD, Backstrom JU |
11474 - 11484 |
Design of an Augmented Output-Based Multiloop Self-Tuning PID Control System Ashida Y, Wakitani S, Yamamoto T |
11485 - 11497 |
Closed-Loop Scheduling and Control for Precision Irrigation Nahar J, Liu S, Mao YW, Liu JF, Shah SL |
11498 - 11505 |
Multiclass Diagnosis of Neurodegenerative Diseases: A Neuroimaging Machine-Learning-Based Approach Singh G, Vadera M, Samavedham L, Lim ECH |
11506 - 11520 |
Performance Assessment and Modification of an Adaptive Model Predictive Control for Automated Insulin Delivery by a Multivariable Artificial Pancreas Hajizadeh I, Samadi S, Sevil M, Rashid M, Cinar A |
11521 - 11531 |
Dynamic Soft Sensor Development Based on Convolutional Neural Networks Wang KC, Shang C, Liu L, Jiang YH, Huang DX, Yang F |
11532 - 11552 |
Robust State Estimation and Parameter Estimation for Linear and Nonlinear Direct Feed-through Systems with Correlated Disturbances Varshney D, Bhushan M, Patwardhan SC |
11553 - 11565 |
Simultaneous Estimation of Hidden State and Unknown Input Using Expectation Maximization Algorithm Khan MAI, Imtiaz SA, Khan F |
11566 - 11575 |
Resource Utilization and Destruction in Indian Industrial Sectors: An Exergy Analysis Jadhao SB, Pandit AB, Bakshi BR |
11576 - 11584 |
Effect of Processing Techniques on EMI SE of Immiscible PS/PMMA Blends Containing MWCNT: Enhanced Intertube and Interphase Scattering Sultana SMN, Pawar SP, Sundararaj U |
11585 - 11600 |
Plant-Wide Control Framework for a Grinding Mill Circuit le Roux JD, Craig IK |