Anti-Windup Designs for Multivariable Controllers. - Youbin Peng; Damir Vrancic; Raymond Hanus; Steven S. R. Weller (Autom., 1998)

"forward" conditioning techniques. - Raymond Hanus; Philippe Bogaerts; Damir Vrancic (ECC, 1999)

Discussion on: 'Balanced Tuning of PI Controllers' by P. Klàn and R. Gorez. - Stanko Strmcnik; Damir Vrancic; Petr Klán; Raymond Gorez (Eur. J. Control, 2000)

A magnitude optimum multiple integration tuning method for filtered PID controller. - Damir Vrancic; Stanko Strmcnik; Ðani Juricic (Autom., 2001)

Multi-Objective Particle Swarm Optimization Design of PID Controllers. - Paulo B. de Moura Oliveira; Eduardo José Solteiro Pires; José Boaventura Cunha; Damir Vrancic (IWANN (2), 2009)

Teaching particle swarm optimization through an open-loop system identification project. - Paulo B. de Moura Oliveira; Damir Vrancic; José Boaventura Cunha; E. J. Solteiro Pires (Comput. Appl. Eng. Educ., 2014)

Maximizing the Electrical Efficiency of a Solid Oxide Fuel Cell System. - Bostjan Dolenc; Damir Vrancic; Darko Vrecko; Ðani Juricic (ECC, 2018)

PIDmnControl for IPDT Plants. Part 1: Disturbance Response. - Mikulás Huba; Damir Vrancic; Pavol Bisták (MED, 2018)

PIDm Control for IPDT Plants. Part 2: Setpoint Response. - Mikulás Huba; Damir Vrancic; Pavol Bisták (MED, 2018)

The magnitude optimum tuning of the PID controller: Improving load disturbance rejection by extending the controller. - Jan Cvejn; Damir Vrancic (Trans. Inst. Meas. Control, 2018)

ADRC as an Exercise for Modeling and Control Design in the State-Space. - Mikulás Huba; Paulo Moura Oliveira; Damir Vrancic; Pavol Bisták (CoDIT, 2019)

Refrigeration Control Algorithm for Managing Supermarket's Overall Peak Power Demand. - Miha Glavan; Dejan Gradisar; Iztok Humar; Damir Vrancic (IEEE Trans. Control. Syst. Technol., 2019)

Active Disturbance Rejection Control for DC Motor Laboratory Plant Learning Object. - Mikulás Huba; Mária Hypiusová; Peter Tapák; Damir Vrancic (Inf., 2020)

Asymmetries in the Disturbance Compensation Methods for the Stable and Unstable First Order Plants. - Mikulás Huba; Pavol Bisták; Damir Vrancic; Katarina Zakova (Symmetry, 2020)

PID Control With Higher Order Derivative Degrees for IPDT Plant Models. - Mikulás Huba; Damir Vrancic; Pavol Bisták (IEEE Access, 2021)

Making the PI and PID Controller Tuning Inspired by Ziegler and Nichols Precise and Reliable. - Mikulás Huba; Stefan Chamraz; Pavol Bisták; Damir Vrancic (Sensors, 2021)

Extending the Model-Based Controller Design to Higher-Order Plant Models and Measurement Noise. - Mikulás Huba; Damir Vrancic (Symmetry, 2021)

Reference Model Control of the Time Delayed Double Integrator. - Mikulás Huba; Damir Vrancic; Pavol Bisták (IEEE Access, 2022)

Performance Portrait Method: An Intelligent PID Controller Design Based on a Database of Relevant Systems Behaviors. - Mikulás Huba; Damir Vrancic (Sensors, 2022)

IPDT Model-Based Ziegler-Nichols Tuning Generalized to Controllers with Higher-Order Derivatives. - Pavol Bisták; Mikulás Huba; Damir Vrancic; Stefan Chamraz (Sensors, 2023)

Series PID Control With Higher-Order Derivatives for Processes Approximated by IPDT Models. - Mikulás Huba; Damir Vrancic; Pavol Bisták (IEEE Trans Autom. Sci. Eng., 2024)