1 - 13 |
Big data quality prediction in the process industry: A distributed parallel modeling framework Yao L, Ge ZQ |
14 - 22 |
Investigation on the energy conversion and load control of supercritical circulating fluidized bed boiler units Gao MM, Hong F, Liu JZ, Chen F |
23 - 33 |
Growth rate maximization in fed-batch processes using high order sliding controllers and observers based on cell density measurement Jamilis M, Garelli F, De Battista H |
34 - 51 |
Dynamic modelling of induced draft cooling towers with parallel heat exchangers, pumps and cooling water network Viljoen JH, Muller CJ, Craig IK |
52 - 63 |
An optimised placement of the hard quality sensors for a robust monitoring of the chlorine concentration in drinking water distribution systems Langowski R, Brdys MA |
64 - 72 |
Regression on dynamic PLS structures for supervised learning of dynamic data Dong YN, Qin SJ |
73 - 85 |
Flow and pressure control of underbalanced drilling operations using NMPC Pedersen T, Aarsnes UJF, Godhavn JM |
86 - 95 |
Effective variable selection and moving window HMM-based approach for iron-making process monitoring Wang L, Yang CJ, Sun YX, Zhang HF, Li ML |
96 - 104 |
Development and pilot-scale validation of a fuzzy-logic control system for optimization of methane production in fixed-bed reactors Robles A, Capson-Tojo G, Ruano MV, Latrille E, Steyer JP |
105 - 117 |
Adaptive model predictive control for a dual-hormone artificial pancreas Boiroux D, Batora V, Hagdrup M, Wendt SL, Poulsen NK, Madsen H, Jorgensen JB |
118 - 128 |
An intelligent detection method for bulking sludge of wastewater treatment process Han HG, Liu Z, Guo YN, Qiao JF |
129 - 144 |
A novel hybrid of auto-associative kernel regression and dynamic independent component analysis for fault detection in nonlinear multimode processes Yu J, Yoo J, Jang J, Park JH, Kim S |
145 - 159 |
A data-driven adaptive multivariate steady state detection strategy for the evaporation process of the sodium aluminate solution Xie S, Yang CH, Wang XL, Yuan XF, Xie YF |
160 - 170 |
A mechanistic fault detection and isolation approach using Kalman filter to improve the security of cyber physical systems Palleti VR, Chong TY, Samavedham L |
171 - 185 |
A data-driven optimal control approach for solution purification process Sun B, He MF, Wang YL, Gui WH, Yang CH, Zhu QM |
186 - 194 |
Performance-based data-driven model-free adaptive sliding mode control for a class of discrete-time nonlinear processes Liu D, Yang GH |
195 - 204 |
Real-time Optimization with persistent parameter adaptation using online parameter estimation Matias JOA, Le Roux GAC |
205 - 217 |
Modelling and predictive control of a recirculating cooling water system for an industrial plant Terzi E, Cataldo A, Lorusso P, Scattolini R |
218 - 225 |
A Finite Horizon Markov Decision Process Based Reinforcement Learning Control of a Rapid Thermal Processing system Pradeep DJ, Noel MM |
226 - 239 |
Economic model predictive control based on a periodicity constraint Wang Y, Salvador JR, de la Pena DM, Puig V, Cembrano G |
240 - 253 |
An industrially relevant formulation of a distributed model predictive control algorithm based on minimal process information Maxim A, Copot D, De Keyser R, Ionescu CM |
254 - 267 |
Weighted-coupling CSTR modeling and model predictive control with parameter adaptive correction for the goethite process Xie SW, Xie YF, Gui WH, Yang CH |