All Stories

  1. Analysis of a methanol synthesis reactor operating in non-isothermal cooling conditions
  2. Exploring nontraditional LSTM architectures for modeling demethanizer column operations
  3. On the closed-loop stochastic dynamics of two-state nonlinear exothermic CSTRs with PI temperature control
  4. Effect of Boundary Conditions and Turbulence Treatment on the Simulated Performance of a Ribbed Heat Exchanger
  5. Performance assessment of control strategies with application to NGL separation units
  6. Learning to navigate a crystallization model with Deep Reinforcement Learning
  7. Effect of the demethanizer improved control strategy on the separation train for the NGL separation process
  8. Characterization with Fokker–Planck theory of the nonlinear stochastic dynamics of a class of two-state continuous bioreactors
  9. Control and soft sensing strategies for a wastewater treatment plant using a neuro-genetic approach
  10. Control of a natural gas liquid recovery plant in a GSP unit under feed and composition disturbances
  11. Identification of a cell population model for algae growth processes
  12. On the dynamics and robustness of the chemostat with multiplicative noise
  13. Control Strategies for Natural Gas Liquids Recovery Plants
  14. 4. Reactive absorption of carbon dioxide: Modeling insights
  15. A geometric observer design for a semi-batch free-radical polymerization system
  16. CO2 Capture by Reactive Absorption-Stripping
  17. Stochastic modeling of a non isothermal chemical reactor
  18. A model-based approach for controlling particle size distribution in combined cooling-antisolvent crystallization processes
  19. Open and closed-loop stochastic dynamics of a class of nonlinear chemical processes with multiplicative noise
  20. Process analysis for the carbon dioxide chemical absorption–regeneration system
  21. Multivariable Real-Time Control of Viscosity Curve for a Continuous Production Process of a Non-Newtonian Fluid
  22. Real-Time Nonlinear State Estimation in Polymerization Reactors for Smart Manufacturing
  23. A Gain-Scheduling PI Control Based on Neural Networks
  24. Model calibration for the carbon dioxide-amine absorption system
  25. Soft-sensing estimation of plant effluent concentrations in a biological wastewater treatment plant using an optimal neural network
  26. A generalized stochastic modelling approach for crystal size distribution in antisolvent crystallization operations
  27. Control of an exothermic packed-bed tubular reactor
  28. Dynamics of nonlinear chemical process with multiplicative stochastic noise
  29. Predictive control of an activated sludge process: An application to the Viikinmäki wastewater treatment plant
  30. Supervised Distance Preserving Projections: Applications in the quantitative analysis of diesel fuels and light cycle oils from NIR spectra
  31. On-line control of crystal properties in nonisothermal antisolvent crystallization
  32. Feedforward ouput-feedback control for a class of exothermic tubular reactors
  33. Energy Saving through Control in an Industrial Multicomponent Distillation Column
  34. A real time particle size control framework in non-isothermal antisolvent crystallization processes
  35. CSD control
  36. Image-Based Multiresolution-ANN Approach for Online Particle Size Characterization
  37. A qualitative comparison between population balances and stochastic models for non-isothermal antisolvent crystallization processes
  38. On the Modeling of C7+ Fractions with Real Components in Plant Simulations
  39. Modelling of an Amine Based CO2 Absorption Plant: an Alternative Approach through the Identification of the Number of Stages
  40. Feedforward-feedback control of an industrial multicomponent distillation column
  41. Spectroscopic monitoring of diesel fuels using Supervised Distance Preserving Projections
  42. A distillate composition estimator for an industrial multicomponent IC4-NC4 splitter with experimental temperature measurements
  43. Monitoring Diesel Fuels with Supervised Distance Preserving Projections and Local Linear Regression
  44. On the Influence of Hydrogen Bond Interactions in Isothermal and Nonisothermal Antisolvent Crystallization Processes
  45. Stochastic approach for the prediction of PSD in nonisothermal antisolvent crystallization processes
  46. An application of predictive control to the Viikinmäki wastewater treatment plant
  47. Estimation structure design for staged systems
  48. Data-Derived Analysis and Inference for an Industrial Deethanizer
  49. Time evolution of the PSD in crystallization operations: An analytical solution based on Ornstein‐Uhlenbeck process
  50. A stochastic approach for the prediction of PSD in crystallization processes: Analytical solution for the asymptotic behavior and parameter estimation
  51. On the global nonlinear stochastic dynamical behavior of a class of exothermic CSTRs
  52. Stochastic Approach for the Prediction of PSD in Crystallization Processes: Formulation and Comparative Assessment of Different Stochastic Models
  53. Local linear regression for soft-sensor design with application to an industrial deethanizer
  54. Dynamic evolution of PSD modelled using an Ornstein-Uhlenbeck process approach
  55. On the topological modeling and analysis of industrial process data using the SOM
  56. On the prediction of psd in antisolvent mediated crystallization processes based on fokker-planck equations
  57. Stochastic approach for the calculation of anti-solvent addition policies in crystallization operations: An application to a bench-scale semi-batch crystallizer
  58. Accurate and efficient solution of distributed dynamical system models
  59. On the Prediction and Shaping of the PSD in Crystallization Operations
  60. Two-point Lyapunov Control of Binary Distillation Columns with four temperature measurements
  61. A continuous regression function for the Delaunay calibration method
  62. Measurement structure design for multicomponent distillation column with specific estimation objective
  63. Optimized Control Structure for a Wastewater Treatment Benchmark
  64. Global-nonlinear stochastic estimation of exothermic reactors with temperature measurement
  65. A stochastic formulation for the description of the crystal size distribution in antisolvent crystallization processes
  66. A SOM-based approach to estimating product properties from spectroscopic measurements
  67. On the Topological Analysis of Industrial Process Data Using the SOM
  68. Delaunay Tessellation and Topological Regression: An Application to Estimating Product Properties from Spectroscopic Measurements
  69. A Novel Approach for the Prediction of PSD in Antisolvent Mediated Crystallization
  70. Composition estimation of a six-component distillation column with temperature measurements
  71. Data derived analysis and inference for an industrial deethanizer
  72. A Stochastic Approach for Anti-Solvent Addition Policy in Crystallization Operations: An Application to a Bench-Scale Fed-Batch Crystallizer
  73. Wavelength selection using the measure of topological relevance on the self‐organizing map
  74. CONTROLLED VARIABLES SELECTION FOR A BIOLOGICAL WASTEWATER TREATMENT PROCESS
  75. Adjustable-structure design for ternary distillation columns
  76. DEVELOPMENT OF A 4-MEASURABLE STATES ACTIVATED SLUDGE PROCESS MODEL DEDUCED FROM THE ASM1
  77. MEASURES OF TOPOLOGICAL RELEVANCE FOR SOFT SENSING PRODUCT PROPERTIES
  78. Thermodynamic diagram based estimation structure design for ternary distillation column
  79. GEOMETRIC ESTIMATION OF TERNARY DISTILLATION COLUMNS
  80. Geometric Observer for a Distillation Column:  Development and Experimental Testing
  81. A model for the hydrogenation of aromatic compounds during gasoil hydroprocessing
  82. Robust Dynamic State Estimation of a Binary Distillation Column
  83. On-Line Monitoring of a Copolymer Reactor: A Cascade Estimation Design
  84. A Software Sensor for a Wastewater Treatment Plant
  85. Catalytic Plate Reactor
  86. Reconstruction of chaotic time series by neural models: a case study
  87. River flow forecast for reservoir management through neural networks
  88. Monitoring pollutant emissions in a power plant through neural network
  89. Modelling Chaos with Neural Networks
  90. STATE ESTIMATION IN A CATALYTIC REACTOR VIA A CONSTRUCTIVE APPROACH
  91. Automated Recurrent Neural Network Design to Model the Dynamics of Complex Systems
  92. A NONLINEAR OBSERVER BASED ON HYBRID MODELLING OF CHEMICAL REACTORS
  93. An extended Kalman filtering approach with a criterion to set its tuning parameters; application to a catalytic reactor
  94. Monitoring of a CO oxidation reactor through a grey model-based EKF observer
  95. CATALYTIC CONVERTER DESIGN FOR MINIMISATION OF COLD-START EMISSIONS
  96. A composition estimator for multicomponent distillation columns — development and experimental test on ternary mixtures
  97. A feedforward control strategy for distillation columns
  98. Optimal Catalyst Activity Profiles in Pellets. 11. The Case of Multiple-Step Distributions
  99. Development of a composition estimator for binary distillation columns. Application to a pilot plant
  100. COMPOSITION ESTIMATORS FOR A DISTILLATION COLUMN: THEORY AND EXPERIMENTS
  101. Optimization of a nonisothermal nonadiabatic fixed-bed reactor using dirac-type silver catalysts for ethylene epoxidation
  102. Design and experimental verification of a nonlinear catalytic reactor estimator
  103. FIXED POINT METHOD IN STEADY STATE ANALYSIS. APPLICATION TO CATALYST PELLETS
  104. Optimal catalyst activity profiles in Pellets—X. The role of catalyst loading
  105. Optimal activity distribution in nonuniformly impregnated catalyst particles: numerical analysis
  106. Lumped kinetic model for propene—butene mixtures oligomerization on a supported phosphoric acid catalyst