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