All Stories

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