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 |