화학공학소재연구정보센터

Journal of Process Control

Journal of Process Control, Vol.84 Entire volume, number list
ISSN: 0959-1524 (Print) 

In this Issue (34 articles)

1 - 12 A slow independent component analysis algorithm for time series feature extraction with the concurrent consideration of high-order statistic and slowness
Feng LJ, Zhao CH, Huang B
1 - 12 A slow independent component analysis algorithm for time series feature extraction with the concurrent consideration of high-order statistic and slowness
Feng LJ, Zhao CH, Huang B
13 - 23 Modelling and stability analysis of complex balanced kinetic systems with distributed time delays
Liptak G, Pituk M, Hangos KM
13 - 23 Modelling and stability analysis of complex balanced kinetic systems with distributed time delays
Liptak G, Pituk M, Hangos KM
24 - 34 DeepVM: A Deep Learning-based approach with automatic feature extraction for 2D input data Virtual Metrology
Maggipinto M, Beghi A, McLoone S, Susto GA
24 - 34 DeepVM: A Deep Learning-based approach with automatic feature extraction for 2D input data Virtual Metrology
Maggipinto M, Beghi A, McLoone S, Susto GA
35 - 45 An optimal control strategy for a heat pump in an integrated solar thermal system
Hosseinirad S, Nagamune R, Grebenyuk V
35 - 45 An optimal control strategy for a heat pump in an integrated solar thermal system
Hosseinirad S, Nagamune R, Grebenyuk V
46 - 55 Mixture modeling for industrial soft sensor application based on semi-supervised probabilistic PLS
Zheng JH, Song ZH
46 - 55 Mixture modeling for industrial soft sensor application based on semi-supervised probabilistic PLS
Zheng JH, Song ZH
56 - 69 Numerical optimization based on generalized extremum seeking for fast methane production by a modified ADM1
Pessoa RWS, Mendes F, Oliveira TR, Oliveira-Esquerre K, Krstic M
56 - 69 Numerical optimization based on generalized extremum seeking for fast methane production by a modified ADM1
Pessoa RWS, Mendes F, Oliveira TR, Oliveira-Esquerre K, Krstic M
70 - 88 Enhancing cooperative distributed model predictive control for the water distribution networks pressure optimization
Zhang Y, Zheng Y, Li SY
70 - 88 Enhancing cooperative distributed model predictive control for the water distribution networks pressure optimization
Zhang Y, Zheng Y, Li SY
89 - 100 Mixed Integer nonlinear optimization of biological processes in wastewater sequencing batch reactor
Piotrowski R, Lewandowski M, Paul A
89 - 100 Mixed Integer nonlinear optimization of biological processes in wastewater sequencing batch reactor
Piotrowski R, Lewandowski M, Paul A
101 - 114 Adaptive observer based approach for the fault diagnosis in solid oxide fuel cells
Vijay P, Tade MO, Shao ZP
101 - 114 Adaptive observer based approach for the fault diagnosis in solid oxide fuel cells
Vijay P, Tade MO, Shao ZP
115 - 132 Explicit model predictive controller under uncertainty: An adjustable robust optimization approach
Tejeda-Iglesias M, Lappas NH, Gounaris CE, Ricardez-Sandoval L
115 - 132 Explicit model predictive controller under uncertainty: An adjustable robust optimization approach
Tejeda-Iglesias M, Lappas NH, Gounaris CE, Ricardez-Sandoval L
133 - 145 Parametric study and modeling of cross-flow heat exchanger fouling in phosphoric acid concentration plant using artificial neural network
Aguel S, Meddeb Z, Jeday MR
133 - 145 Parametric study and modeling of cross-flow heat exchanger fouling in phosphoric acid concentration plant using artificial neural network
Aguel S, Meddeb Z, Jeday MR
146 - 167 Sensitivity-based hierarchical distributed model predictive control of nonlinear processes
Yu TY, Zhao J, Xu ZH, Chen X, Biegler LT
146 - 167 Sensitivity-based hierarchical distributed model predictive control of nonlinear processes
Yu TY, Zhao J, Xu ZH, Chen X, Biegler LT
168 - 170 Comment on "Performance assessment for generalized delay-timers in alarm configuration"
Heidari M, Izadi I
168 - 170 Comment on "Performance assessment for generalized delay-timers in alarm configuration"
Heidari M, Izadi I
171 - 181 Economic nonlinear model predictive control using hybrid mechanistic data-driven models for optimal operation in real-time electricity markets: In-silico application to air separation processes
Schafer P, Caspari A, Mhamdi A, Mitsos A
171 - 181 Economic nonlinear model predictive control using hybrid mechanistic data-driven models for optimal operation in real-time electricity markets: In-silico application to air separation processes
Schafer P, Caspari A, Mhamdi A, Mitsos A
182 - 191 Development of a new multi-layer perceptron based soft sensor for SO2 emissions in power plant
Sun K, Wu XL, Xue JY, Ma FY
182 - 191 Development of a new multi-layer perceptron based soft sensor for SO2 emissions in power plant
Sun K, Wu XL, Xue JY, Ma FY
192 - 206 Advanced-step multistage nonlinear model predictive control: Robustness and stability
Yu ZJ, Biegler LT
192 - 206 Advanced-step multistage nonlinear model predictive control: Robustness and stability
Yu ZJ, Biegler LT
207 - 214 Predicting the combustion state of rotary kilns using a Convolutional Recurrent Neural Network
Li T, Zhang ZT, Chen H
207 - 214 Predicting the combustion state of rotary kilns using a Convolutional Recurrent Neural Network
Li T, Zhang ZT, Chen H