All Stories

  1. Hybrid Modeling of Advection–Diffusion–Reaction Systems with Chaotic Forcing
  2. A Softsensor for Wind Measurements in Karst Caves
  3. A Novel Study on Modelling and Adaptive Optimal Control of a Tubular Reactor Based on Gaussian Processes
  4. Make a simple model of atmospheric pollution more accurate
  5. Terminological Dictionary of Automatic Control, Systems and Robotics: an Example of Good Terminological Practice
  6. Deep Neural Input-Filtered Gaussian Process Model
  7. Introduction to the special issue on Intelligent Control and Optimisation
  8. Dynamical and statistical properties of estimated high-dimensional ODE models: The case of the Lorenz ’05 type II model
  9. Surrogate tree ensemble model representing 2D population doses over complex terrain in the event of a radiological release into the air
  10. Distributed predictive control based on Gaussian process models
  11. Hybrid Forecasting of Wind for Air Pollution Dispersion over Complex Terrain
  12. Terminological Dictionary of Automatic Control, Systems and Robotics
  13. Surrogate modelling for the forecast of Seveso-type atmospheric pollutant dispersion
  14. Surrogate modelling for the forecast of Seveso-type atmospheric pollutant dispersion
  15. Contents
  16. Input variable selection using machine learning and global sensitivity methods for the control of sludge bulking in a wastewater treatment plant
  17. Data-driven method for the improving forecasts of local weather dynamics
  18. Dynamic System Identification of Underwater Vehicles Using Multi-Output Gaussian Processes
  19. Fast Numerical Wind Turbine Candidate Site Evaluation
  20. Simulation of variational Gaussian process NARX models with GPGPU
  21. Improving wind vector predictions for modelling of atmospheric dispersion during Seveso-type accidents
  22. Gaussian Process Modelling of the F-16 Ground Vibration Test Benchmark: Data Selection Case Study
  23. Integrated theoretical and data-driven Gaussian Process NARX Model for the Simulation of Effluent Concentrations in Wastewater Treatment Plant
  24. Design of a hybrid mechanistic/Gaussian process model to predict full-scale wastewater treatment plant effluent
  25. Near-infrared spectroscopy of the placenta for monitoring fetal oxygenation during labour
  26. Equation Discovery for Nonlinear System Identification
  27. Sparse and hybrid modelling of relative humidity
  28. Hybrid model of the near-ground temperature profile
  29. Introduction to Dependence Relations and Their Links to Algebraic Hyperstructures
  30. Contents
  31. Identification of Atmospheric Variable Using Deep Gaussian Processes ⁎ ⁎The authors acknowledge the project “Method for the forecasting of local radiological pollution of atmosphere using Gaussian process models”, ID L2-8174, and research core funding...
  32. Validation of numerically forecast vertical temperature profile with measurements for dispersion modelling
  33. Selection of the data time interval for the prediction of maximum ozone concentrations
  34. Nonlinear data assimilation for the regional modeling of maximum ozone values
  35. The Slovenian Dictionary of Automatic Control, Systems and Robotics * *This project was supported by Automatic Control Society of Slovenia, University of Ljubljana and Jozef Stefan Institute, Slovenia.
  36. On-line identification with regularised Evolving Gaussian process
  37. The use of a new diagram for the analysis of the daily cycles in the air-pollution data
  38. Validation of meteorological forecasts in fine spatial and temporal resolution produced as an input for dispersion models
  39. Accounting for modelling errors in model-based diagnosis by using Gaussian process models
  40. Ensembles of Fuzzy Linear Model Trees for the Identification of Multioutput Systems
  41. Improving of local ozone forecasting by integrated models
  42. On-line algorithm for ground-level ozone prediction with a mobile station
  43. A comparison of fuzzy identification methods on benchmark datasets
  44. Closed-Loop Control with Evolving Gaussian Process Models
  45. Modelling and Control of Dynamic Systems Using Gaussian Process Models
  46. Case Studies
  47. Control with GP Models
  48. Incorporation of Prior Knowledge
  49. Introduction
  50. System Identification with GP Models
  51. Trends, Challenges and Research Opportunities
  52. Regressor selection for ozone prediction
  53. Model-Tree Ensembles for noise-tolerant system identification
  54. MODELLING OCCUPANCY-QUEUE RELATION USING GAUSSIAN PROCESS
  55. Ozone forecasting using an online updating Gaussian-process model
  56. Terminološki slovar avtomatike
  57. Model Tree Ensembles for the Identification of Multiple-Output Systems
  58. An exploration of EEG features during recovery following stroke - implications for BCI-mediated neurorehabilitation therapy
  59. Application of Gaussian Processes to the Modelling and Control in Process Engineering
  60. Sequencing batch-reactor control using Gaussian-process models
  61. Evolving Gaussian process models for prediction of ozone concentration in the air
  62. A PLC-Based System for Advanced Control
  63. Model Tree Ensembles for Modeling Dynamic Systems
  64. Streaming-Data Selection for Gaussian-Process Modelling
  65. The Divide-and-Conquer Method for Modelling and Control of Nonlinear Systems: Some Important Issues Concerning Its Application
  66. Multi-criteria analyses of wastewater treatment bio-processes under an uncertainty and a multiplicity of steady states
  67. Financial modeling using Gaussian process models
  68. Control system with evolving Gaussian process models
  69. Prognosis of gear health using Gaussian process model
  70. Dynamical systems identification using Gaussian process models with incorporated local models
  71. Explicit output-feedback nonlinear predictive control based on black-box models
  72. Optimization of Gaussian Process Models with Evolutionary Algorithms
  73. Output-Error Model Training for Gaussian Process Models
  74. Dual-mode Explicit Output-feedback Predictive Control Based on Neural Network Models
  75. Soft sensor for faulty measurements detection and reconstruction in urban traffic
  76. Improving disturbance rejection of PID controllers by means of the magnitude optimum method
  77. Modelling case study for holistic production control
  78. Fixed-structure Gaussian process model
  79. An Empirical Model of Occupancy-Queue Relation
  80. Application of Varying Parameters Modelling with Gaussian Processes
  81. Non-linear model predictive control for models with local information and uncertainties
  82. Gas–liquid separator modelling and simulation with Gaussian-process models
  83. Explicit stochastic predictive control of combustion plants based on Gaussian process models
  84. Application of Gaussian processes for black-box modelling of biosystems
  85. Explicit stochastic Nonlinear Predictive Control based on Gaussian process models
  86. Fuzzy controller for cement raw material blending
  87. Predictive control of a gas–liquid separation plant based on a Gaussian process model
  88. The concept for Gaussian process model based system identification toolbox
  89. Advanced control algorithms embedded in a programmable logic controller
  90. Dynamic systems identification with Gaussian processes
  91. Explicit model predictive control of gas–liquid separation plant via orthogonal search tree partitioning
  92. Simulation of Fuzzy-Logic-Based Intelligent Wheelchair Control System
  93. A signal convolution method for estimation of controller parameter sensitivity functions for tuning of feedback control systems by an iterative process
  94. ASPECT - Advanced Control Algorithms on Industrial Controllers
  95. Wastewater treatment benchmark: what can be achieved with simple control?
  96. Fuzzy gain-scheduling control of a gas-liquid separation plant implemented on a PLC
  97. System analysis for optimal control of a wastewater treatment benchmark
  98. Experimental design of an optimal phase duration control strategy used in batch biological wastewater treatment
  99. An integrated undergraduate teaching laboratory approach to multivariable control
  100. An application of a technique for the tuning of multiparameter controllers
  101. Approach to robust multivariable combustion control design
  102. ASPECT: industrial self-tuning nonlinear controller on a PLC
  103. Design of reduced dimension explicit model predictive controller for a gas-liquid separation plant
  104. Predictive control with Gaussian process models