1 - 14 |
Estimation and identification in batch processes with particle filters Zhao ZG, Tulsyan A, Huang B, Liu F |
15 - 30 |
Design, implementation and simulation of an MPC algorithm for switched nonlinear systems under combinatorial constraints Burger A, Zeile C, Altmann-Dieses A, Sager S, Diehl M |
31 - 39 |
Enhancing MPC formulations by identification and estimation of valve stiction di Capaci RB, Vaccari M, Scali C, Pannocchia G |
40 - 53 |
Control allocation based fault-tolerant strategy for a bio-ethanol processor system integrated to a PEM fuel cell Luppi PA, Braccia L, Patrone M, Zumoffen D |
54 - 64 |
K-means Bayes algorithm for imbalanced fault classification and big data application Chen GC, Liu Y, Ge ZQ |
65 - 75 |
Parameter subset selection and biased estimation for a class of ill-conditioned estimation problems Kim B, Lee JH |
76 - 86 |
Industrial process monitoring based on Fisher discriminant global-local preserving projection Tang Q, Chai Y, Qu JF, Fang XY |
87 - 97 |
Energy-efficient operation of transcritical and subcritical CO2 inverse cycles via Extremum Seeking Control Rampazzo M, Cervato A, Corazzol C, Mattiello L, Beghi A, Cecchinato L, Virzi A |
98 - 111 |
Control pairings of a deoiling membrane crossflow filtration process based on theoretical and experimental results Jepsen KL, Pedersen S, Yang ZY |
112 - 125 |
Dynamic reconstruction based representation learning for multivariable process monitoring Lv FY, Wen CL, Liu MQ |
126 - 135 |
Time-optimal symbolic control of a changeover process based on an approximately bisimilar symbolic model Fakhroleslam M, Pola G, De Santis E, Di Benedetto MD |
136 - 149 |
Data-driven modeling and optimal control of the production of Fructo-Oligosaccharides by Aureobasidium Pullulans Fekih-Salem R, Schorsch J, Dewasme L, Castro C, Hantson AL, Kinnaert M, Vande Wouwer A |
150 - 161 |
Constrained ensemble Kalman filter based on Kullback-Leibler divergence Li RX, Jan NM, Huang B, Prasad V |
162 - 171 |
A Primal decomposition algorithm for distributed multistage scenario model predictive control Krishnamoorthy D, Foss B, Skogestad S |
172 - 189 |
A two-dimensional design of model predictive control for batch processes with two-dimensional (2D) dynamics using extended non-minimal state space structure Wu S, Zhang RD |
190 - 196 |
Membrane fouling modeling and detection in direct contact membrane distillation Karam AM, Laleg-Kirati TM |
197 - 208 |
Transfer learning for batch process optimal control using LV-PTM and adaptive control strategy Chu F, Zhao X, Yao Y, Chen T, Wang FL |
209 - 220 |
Gaussian process modelling with Gaussian mixture likelihood Daemi A, Kodamana H, Huang B |
221 - 222 |
Advances in artificial pancreas control systems Cinar A |
223 - 231 |
Bounded bilinear control of coupled first-order hyperbolic PDE and infinite dimensional ODE in the framework of PDEs with memory Mechhoud S, Laleg-Kirati TM |