All Stories

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