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2020 – today
- 2024
[j15]Mikulás Huba
, Damir Vrancic, Pavol Bisták:
Series PID Control With Higher-Order Derivatives for Processes Approximated by IPDT Models. IEEE Trans Autom. Sci. Eng. 21(3): 4406-4418 (2024)- 2023
- [j14]Pavol Bisták, Mikulás Huba, Damir Vrancic, Stefan Chamraz:
IPDT Model-Based Ziegler-Nichols Tuning Generalized to Controllers with Higher-Order Derivatives. Sensors 23(8): 3787 (2023) - 2022
- [j13]Mikulás Huba, Damir Vrancic, Pavol Bisták:
Reference Model Control of the Time Delayed Double Integrator. IEEE Access 10: 39282-39298 (2022) - [j12]Mikulás Huba, Damir Vrancic:
Performance Portrait Method: An Intelligent PID Controller Design Based on a Database of Relevant Systems Behaviors. Sensors 22(10): 3753 (2022) - 2021
- [j11]Mikulás Huba, Damir Vrancic, Pavol Bisták:
PID Control With Higher Order Derivative Degrees for IPDT Plant Models. IEEE Access 9: 2478-2495 (2021) - [j10]Mikulás Huba, Stefan Chamraz, Pavol Bisták, Damir Vrancic:
Making the PI and PID Controller Tuning Inspired by Ziegler and Nichols Precise and Reliable. Sensors 21(18): 6157 (2021) - [j9]Mikulás Huba, Damir Vrancic:
Extending the Model-Based Controller Design to Higher-Order Plant Models and Measurement Noise. Symmetry 13(5): 798 (2021) - 2020
- [j8]Mikulás Huba, Mária Hypiusová, Peter Tapák, Damir Vrancic:
Active Disturbance Rejection Control for DC Motor Laboratory Plant Learning Object. Inf. 11(3): 151 (2020) - [j7]Mikulás Huba, Pavol Bisták, Damir Vrancic, Katarina Zakova:
Asymmetries in the Disturbance Compensation Methods for the Stable and Unstable First Order Plants. Symmetry 12(10): 1595 (2020)
2010 – 2019
- 2019
- [j6]Miha Glavan, Dejan Gradisar, Iztok Humar, Damir Vrancic:
Refrigeration Control Algorithm for Managing Supermarket's Overall Peak Power Demand. IEEE Trans. Control. Syst. Technol. 27(5): 2279-2286 (2019) - [c6]Mikulás Huba, Paulo Moura Oliveira, Damir Vrancic, Pavol Bisták:
ADRC as an Exercise for Modeling and Control Design in the State-Space. CoDIT 2019: 464-469 - 2018
- [j5]Jan Cvejn, Damir Vrancic:
The magnitude optimum tuning of the PID controller: Improving load disturbance rejection by extending the controller. Trans. Inst. Meas. Control 40(5): 1669-1680 (2018) - [c5]Bostjan Dolenc, Damir Vrancic, Darko Vrecko, Ðani Juricic:
Maximizing the Electrical Efficiency of a Solid Oxide Fuel Cell System. ECC 2018: 1881-1887 - [c4]Mikulás Huba, Damir Vrancic, Pavol Bisták:
PIDmnControl for IPDT Plants. Part 1: Disturbance Response. MED 2018: 424-429 - [c3]Mikulás Huba, Damir Vrancic, Pavol Bisták:
PIDm Control for IPDT Plants. Part 2: Setpoint Response. MED 2018: 430-435 - 2014
- [j4]Paulo B. de Moura Oliveira, Damir Vrancic, José Boaventura Cunha, E. J. Solteiro Pires:
Teaching particle swarm optimization through an open-loop system identification project. Comput. Appl. Eng. Educ. 22(2): 227-237 (2014)
2000 – 2009
- 2009
- [c2]Paulo B. de Moura Oliveira, Eduardo José Solteiro Pires, José Boaventura Cunha, Damir Vrancic:
Multi-Objective Particle Swarm Optimization Design of PID Controllers. IWANN (2) 2009: 1222-1230 - 2001
- [j3]Damir Vrancic, Stanko Strmcnik, Ðani Juricic:
A magnitude optimum multiple integration tuning method for filtered PID controller. Autom. 37(9): 1473-1479 (2001) - 2000
- [j2]Stanko Strmcnik, Damir Vrancic, Petr Klán, Raymond Gorez:
Discussion on: 'Balanced Tuning of PI Controllers' by P. Klàn and R. Gorez. Eur. J. Control 6(6): 551-552 (2000)
1990 – 1999
- 1999
- [c1]Raymond Hanus, Philippe Bogaerts, Damir Vrancic:
"forward" conditioning techniques. ECC 1999: 3525-3530 - 1998
- [j1]Youbin Peng, Damir Vrancic, Raymond Hanus, Steven S. R. Weller:
Anti-Windup Designs for Multivariable Controllers. Autom. 34(12): 1559-1565 (1998)
Coauthor Index
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