Stanko Strmcnik

发表

The Experience of Implementing Model-Driven Engineering Tools in the Process Control Domain

Marjan Hericko, Giovanni Godena, Tomaz Lukman, 2015, Inf. Technol. Control..

Selection of computer-aided control engineering tools

Stanko Strmcnik, Marko Sega, 1993 .

Incorporating prior knowledge into artificial neural networks - an industrial case study

Rihard Karba, Stanko Strmcnik, Davorka Sel, 2004, Neurocomputing.

A magnitude optimum multiple integration tuning method for filtered PID controller

Stanko Strmcnik, Ðani Juricic, Damir Vrancic, 2001, Autom..

A model for combustion of fuel in the boiler

Borut Zupancic, Stanko Strmcnik, Jurij Cretnik, 1985, Simulationstechnik.

A New State Machine Behaviour Model for Procedural Control Entities in Industrial Process Control Systems

Giovanni Godena, Stanko Strmcnik, 2018, Inf. Technol. Control..

Design of a nonlinear controller based on a piecewise-linear Hammerstein model

Stanko Strmcnik, Gregor Dolanc, 2008, CCA.

Online fuzzy identification for an intelligent controller based on a simple platform

Igor Skrjanc, Stanko Strmcnik, Gregor Dolanc, 2009, Eng. Appl. Artif. Intell..

Production modelling for holistic production control

Stanko Strmcnik, Gasper Music, Dejan Gradisar, 2013, Simul. Model. Pract. Theory.

Model-driven engineering of industrial process control applications

Jeffrey G. Gray, Giovanni Godena, Tomaz Lukman, 2010, 2010 IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010).

Concept of the simulation environment for prototyping design of fault detection and diagnostic systems

Massimiliano Rak, Stanko Strmcnik, Ðani Juricic, 1996, Simul. Pract. Theory.

Design of 2-DOF PI controller for integrating processes

Stanko Strmcnik, Damir Vrancic, D. Vrančić, 2011, 2011 8th Asian Control Conference (ASCC).

A virtual organisation for exchange of knowledge and transfer of technology

Stanko Strmcnik, S. Strmcnik, 2002 .

A probabilistic measure for model purposiveness in identification for control

Drago Matko, Stanko Strmcnik, Ðani Juricic, 1998, Int. J. Syst. Sci..

Domain specific model-based development of software for programmable logic controllers

Giovanni Godena, Stanko Strmcnik, Gregor Kandare, 2010, Comput. Ind..

Influence of model validation on proper selection of process models - an industrial case study

Stanko Strmcnik, Davorka Sel, Srecko Milanic, 2005, Comput. Chem. Eng..

Wiener model based nonlinear predictive control

Drago Matko, Stanko Strmcnik, Samo Gerksic, 2000, Int. J. Syst. Sci..

ProOpter: An advanced platform for production analysis and optimization

Stanko Strmcnik, Gasper Music, Dejan Gradisar, 2015, Comput. Ind..

Design of a nonlinear controller based on a piecewise-linear Hammerstein model

Stanko Strmcnik, Gregor Dolanc, 2008, 2008 IEEE International Conference on Control Applications.

Identification of nonlinear systems using a piecewise-linear Hammerstein model

Stanko Strmcnik, Gregor Dolanc, G. Dolanc, 2005, Syst. Control. Lett..

Discussion on: 'Balanced Tuning of PI Controllers' by P. Klàn and R. Gorez

Raymond Gorez, Stanko Strmcnik, Damir Vrancic, 2000, Eur. J. Control.

A new approach to PLC software design.

Giovanni Godena, Stanko Strmcnik, Gregor Kandare, 2003, ISA transactions.

A new object model of batch equipment and procedural control for better recipe reuse

Giovanni Godena, Tomaz Lukman, Stanko Strmcnik, 2015, Comput. Ind..

Improving disturbance rejection of PID controllers by means of the magnitude optimum method.

Stanko Strmcnik, Jus Kocijan, Damir Vrancić, 2010, ISA transactions.

Pattern recognition-based supervision of indirect adaptation for better disturbance handling.

Stanko Strmcnik, Bostjan Pregelj, Samo Gerksic, 2007, ISA transactions.

Improving disturbance rejection of PI controllers by means of the magnitude optimum method.

Stanko Strmcnik, Jus Kocijan, J. Kocijan, 2004, ISA transactions.