Juš Kocijan

发表

Sparse and hybrid modelling of relative humidity: the Krško basin case study

Juš Kocijan, Matija Perne, Boštjan Grašič, 2020, CAAI Trans. Intell. Technol..

Closed-Loop Control with Evolving Gaussian Process Models

Dejan Petelin, Juš Kocijan, J. Kocijan, 2016 .

System Identification with GP Models

Juš Kocijan, J. Kocijan, 2016 .

Gaussian process model identification: a process engineering case study

Juš Kocijan, K. Azman, 2008 .

A process plant simulator developed within an object-oriented expert system shell

Juš Kocijan, Alenka Žnidaršič, Andrej Skobe, 1998 .

An application of a technique for the tuning of multiparameter controllers

Rihard Karba, Juš Kocijan, Peter Kosin, 1995 .

Financial modeling using Gaussian process models

Dejan Petelin, Juš Kocijan, Jan Přikryl, 2011, Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems.

Approach to robust multivariable combustion control design

Rihard Karba, Juš Kocijan, 1992 .

Modelling and Control of Dynamic Systems Using Gaussian Process Models

Juš Kocijan, J. Kocijan, 2015 .

Modelling case study for holistic production control

Stanko Strmčnik, Juš Kocijan, Miha Glavan, 2010 .

Dynamic GP models: an overview and recent developments

Juš Kocijan, J. Kocijan, 2012 .

Artificial intelligence in real-time control 1995 (AIRTC'95) : a postprint volume from the IFAC/IMACS workshop, Bled, Slovenia, 29 November-1 December 1995

Rihard Karba, Juš Kocijan, Computers in Simulation, 1996 .

Design of reduced dimension explicit model predictive controller for a gas-liquid separation plant

Tor Arne Johansen, Alexandra Grancharova, D. Vrancic, 2003, The IEEE Region 8 EUROCON 2003. Computer as a Tool..

Modelling Occupancy-Queue Relation Using Gaussian Process

Juš Kocijan, Jan Přikryl, 2015 .

Plenary lecture 1: dynamic GP models: an overview and recent developments

Juš Kocijan, 2012 .

An approach to multivariable combustion control design

Juš Kocijan, J. Kocijan, 1997 .

Ozone forecasting using an online updating Gaussian-process model

Dejan Petelin, Juš Kocijan, Boštjan Grašič, 2016 .

Oxygen Control of Bioreactor Model Using Fuzzy Processed PID Controller Outputs

Darko Vrečko, N. Hvala, Juš Kocijan, 2000 .

Advanced control algorithms embedded in a programmable logic controller

Igor Škrjanc, Stanko Strmčnik, Gregor Dolanc, 2006 .

Control with GP Models

Juš Kocijan, J. Kocijan, 2016 .

An Empirical Model of Occupancy-Queue Relation

Juš Kocijan, Jan Přikryl, 2009, CTS 2009.

The Slovenian Dictionary of Automatic Control, Systems and Robotics

Tadej Bajd, Rihard Karba, Gorazd Karer, 2017 .

A PLC-Based System for Advanced Control

Igor Škrjanc, Stanko Strmčnik, Gregor Dolanc, 2013 .

Improving wind vector predictions for modelling of atmospheric dispersion during Seveso-type accidents

Juš Kocijan, Matija Perne, Boštjan Grašič, 2020 .

Trends, Challenges and Research Opportunities

Juš Kocijan, 2016 .

Nonlinear state and parameter estimation in batch biological wastewater treatment

N. Hvala, Juš Kocijan, Gregor Bavdaz, 2001 .

Multi-criteria analyses of wastewater treatment bio-processes under an uncertainty and a multiplicity of steady states.

Darko Vrečko, Juš Kocijan, Xavier Flotats, 2012, Water research.

A comparison of fuzzy identification methods on benchmark datasets

Sašo Džeroski, Juš Kocijan, Darko Aleksovski, 2016 .

On-line algorithm for ground-level ozone prediction with a mobile station

Juš Kocijan, Boštjan Grašič, Marija Zlata Božnar, 2016 .

SECOND CALL FOR PAPERS

Horst F. Wedde, Klaus Schilling, Pedro M. Ferreira, 2015 .

Incorporation of Prior Knowledge

Juš Kocijan, J. Kocijan, 2016 .

Design of a hybrid mechanistic/Gaussian process model to predict full-scale wastewater treatment plant effluent

Juš Kocijan, Nadja Hvala, J. Kocijan, 2020, Comput. Chem. Eng..

Towards a Service-Based Framework for Environmental Data Processing

Alexandra Grancharova, Ivan Madjarov, Juš Kocijan, 2014 .

Simulation of variational Gaussian process NARX models with GPGPU.

Gregor Papa, Juš Kocijan, Tadej Krivec, 2020, ISA transactions.

The Divide-and-Conquer Method for Modelling and Control of Nonlinear Systems: Some Important Issues Concerning Its Application

Juš Kocijan, J. Kocijan, 2013 .

Identification of Atmospheric Variable Using Deep Gaussian Processes

Juš Kocijan, Boštjan Grašič, Mitja Jančič, 2018 .

Some Realisation Issues of Fuzzy Gain-Scheduling Controllers: a Robotic Manipulator Case Study

Juš Kocijan, Benjamin Čokan, 2002 .

AN APPLICATION OF GAUSSIAN PROCESS MODELS FOR CONTROL DESIGN

Juš Kocijan, J. Kocijan, K. Azman, 2006 .

Improving of local ozone forecasting by integrated models

Juš Kocijan, Boštjan Grašič, Dejan Gradišar, 2016, Environmental Science and Pollution Research.

Control Algorithms Based on Gaussian Process Models: A State-of-the-Art Survey

Mile J. Stankovski, Georgi M. Dimirovski, Mogens Blanke, 2011 .

Dual-mode Explicit Output-feedback Predictive Control Based on Neural Network Models *

Tor Arne Johansen, Alexandra Grancharova, Juš Kocijan, 2010 .

A signal convolution method for estimation of controller parameter sensitivity functions for tuning of feedback control systems by an iterative process

David J. Murray-Smith, Juš Kocijan, Mingrui Gong, 2003 .

Fuzzy gain-scheduling control of a gas-liquid separation plant implemented on a PLC

Stanko Strmčnik, Damir Vrančić, Juš Kocijan, 2002 .