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Mikulás Huba
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2020 – today
- 2024
- [j20]Mikulás Huba
, Damir Vrancic
Series PID Control With Higher-Order Derivatives for Processes Approximated by IPDT Models. IEEE Trans Autom. Sci. Eng. 21(3): 4406-4418 (2024) - 2023
- [j19]Pavol Bisták
IPDT Model-Based Ziegler-Nichols Tuning Generalized to Controllers with Higher-Order Derivatives. Sensors 23(8): 3787 (2023) - 2022
- [j18]Mikulás Huba
Reference Model Control of the Time Delayed Double Integrator. IEEE Access 10: 39282-39298 (2022) - [j17]Hafiz Abd Ul Muqeet
Sustainable Solutions for Advanced Energy Management System of Campus Microgrids: Model Opportunities and Future Challenges. Sensors 22(6): 2345 (2022) - [j16]Mikulás Huba
Performance Portrait Method: An Intelligent PID Controller Design Based on a Database of Relevant Systems Behaviors. Sensors 22(10): 3753 (2022) - [j15]Mikulás Huba
Uncovering Disturbance Observer and Ultra-Local Plant Models in Series PI Controllers. Symmetry 14(4): 640 (2022) - [j14]Anand Kumar, Md Nishat Anwar, Mikulás Huba
Load Frequency Controller Design Based on the Direct Synthesis Approach Using a 2DoF-IMC Scheme for a Multi-Area Power System. Symmetry 14(10): 1994 (2022) - 2021
- [j13]Mikulás Huba
PID Control With Higher Order Derivative Degrees for IPDT Plant Models. IEEE Access 9: 2478-2495 (2021) - [j12]Mikulás Huba
Making the PI and PID Controller Tuning Inspired by Ziegler and Nichols Precise and Reliable. Sensors 21(18): 6157 (2021) - [j11]Mikulás Huba
Extending the Model-Based Controller Design to Higher-Order Plant Models and Measurement Noise. Symmetry 13(5): 798 (2021) - 2020
- [j10]J. Anthony Rossiter
A survey of international views on a first course in systems and control for engineering undergraduates. IFAC J. Syst. Control. 13: 100092 (2020) - [j9]Mikulás Huba
Active Disturbance Rejection Control for DC Motor Laboratory Plant Learning Object. Inf. 11(3): 151 (2020) - [j8]Mikulás Huba
Asymmetries in the Disturbance Compensation Methods for the Stable and Unstable First Order Plants. Symmetry 12(10): 1595 (2020)
2010 – 2019
- 2019
- [j7]Igor Belai
PID and filtered PID control design with application to a positional servo drive. Kybernetika 55(3): 540-560 (2019) - [c40]Mikulás Huba
ADRC as an Exercise for Modeling and Control Design in the State-Space. CoDIT 2019: 464-469 - [c39]J. Anthony Rossiter, Katarína Záková
A first course in feedback, dynamics and control: Preliminary findings of a survey for the IFAC community. ECC 2019: 3065-3069 - [c38]Mikulás Huba
On an IFAC Online Pilot Survey for a First Course on Control. exp.at 2019: 74-79 - [c37]Mikulás Huba
Introductory experiments for a stable plant control. exp.at 2019: 155-160 - [c36]Mikulás Huba
Learning Objects and Experiments for Active Disturbance Rejection Control. exp.at 2019: 161-166 - [c35]Pavol Bisták
Analysis of Higher Derivative Degree PID Controllers via Virtual Laboratory. MED 2019: 356-361 - [c34]Mikulás Huba
Constrained filtered PID Controller for IPDT plants. MED 2019: 636-641 - 2018
- [j6]Mikulás Huba
Limits of a simplified controller design based on integral plus dead time models. J. Syst. Control. Eng. 232(6): 728-741 (2018) - [c33]Mikulás Huba
PIDmnControl for IPDT Plants. Part 1: Disturbance Response. MED 2018: 424-429 - [c32]Mikulás Huba
PIDm Control for IPDT Plants. Part 2: Setpoint Response. MED 2018: 430-435 - 2017
- [c31]Mikulás Huba
Some practical issues in the smith predictor design for FOTD systems. CoDIT 2017: 353-358 - [c30]Katarina Zakova
Scilab based interactive online application for 1st order plant control. EDUCON 2017: 1797-1801 - [c29]Peter Tapák
One Degree of Freedom Copter. EUROCAST (2) 2017: 91-98 - [c28]Mikulás Huba
Modifications of Model Free Control to FOTD Plants. EUROCAST (1) 2017: 175-182 - [c27]Mikulás Huba
Experimenting with constrained dead time compensators for FOTD systems. exp.at 2017: 269-274 - [c26]Pavol Bisták
Simulation tool for time sub-optimal control of time-delayed systems with input saturation. exp.at 2017: 275-279 - [c25]Mikulás Huba
Tuning of an iP controller for a time-delayed plant by a performance portrait method. MED 2017: 571-576 - 2015
- [c24]Peter Tapák
Identification of First Order Plants by Relay Feedback with Non-symmetrical Oscillations. EUROCAST 2015: 49-56 - [c23]Mikulás Huba
Constrained Pole Assignment Control for a 2nd Order Oscillatory System. EUROCAST 2015: 64-71 - [c22]Tomás Huba, Mikulás Huba
Autonomous Paracopter Control Design. EUROCAST 2015: 95-102 - [c21]Mikulás Huba
Web application to the simplest robust controller design. exp.at 2015: 27-31 - [c20]Mikulás Huba
Filter choice for an effective measurement noise attenuation in PI and PID controllers. ICM 2015: 46-51 - [c19]Mikulás Huba
Robustness versus performance in PDO FPI Control of the IPDT plant. ICM 2015: 94-99 - [c18]Mikulás Huba
Analyzing limits of one type of disturbance observer based PI control by the performance portrait method. MED 2015: 1167-1173 - 2014
- [c17]Martin Florek, Mikulás Huba
Comparing approaches to quadrocopter control. RAAD 2014: 1-6 - [c16]Mikulás Huba
Robustness characteristics and optimal robust tuning of a 2DOF PI control for an uncertain IPDT plant. RAAD 2014: 1-6 - 2013
- [j5]Tomás Huba, Tomás Malatinec, Mikulás Huba
Propeller-Pendulum for Nonlinear UAVs Control. Int. J. Online Eng. 9(1): 42-46 (2013) - [c15]Mikulás Huba
Modular PID-controller design with different filtering properties. IECON 2013: 3609-3614 - [c14]Mikulás Huba
Open flexible PD-controller design for different filtering properties. IECON 2013: 3668-3674 - [c13]Mikulás Huba, Tomás Malatinec, Tomás Huba:
Laboratory Experiments for Robust Constrained UAVs Control. ACE 2013: 262-267 - [c12]Mikulás Huba:
Performance Portrait Method: A New CAD Tool. ACE 2013: 315-320 - 2012
- [c11]Mikulás Huba
Open flexible P-controller design. AMC 2012: 1-6 - [c10]Mikulás Huba
Modular disturbance observer based constrained PI-controller design. AMC 2012: 1-6 - [c9]Peter Tapák
Experimenting with modified smith predictors using B&R automation studio target for simulink. PDeS 2012: 366-371 - [c8]Peter Tapák
Nonlinear Control of Liquid Level. ACE 2012: 218-223 - [c7]Mikulás Huba
Comparing Approaches to Constrained Design of Integrating Controllers. ACE 2012: 460-465 - 2011
- [j4]Mikulás Huba
Special issue with selected papers from the 10th International Conference Virtual University Bratislava. Int. J. Emerg. Technol. Learn. 6(VU 2009): 4-5 (2011) - [j3]Peter Tapák, Mikulás Huba:
Developing e-course Robust Constrained PID Control. Int. J. Emerg. Technol. Learn. 6(VU 2009): 27-30 (2011) - [c6]Mikulás Huba
Relay Identification of IPDT Plant by Analyzing Nonsymmetrical Oscillations. EUROCAST (2) 2011: 585-592
2000 – 2009
- 2009
- [c5]Martin Ondera, Mikulás Huba:
Simulation of nonlinear control systems represented as generalized transfer functions. ECC 2009: 1444-1449 - [c4]Mikulás Huba
Comparing Algebraic and Constrained Pole Assignment Controllers for a Thermal System. EUROCAST 2009: 610-617 - [c3]Vladimír Zilka, Miroslav Halás, Mikulás Huba
Nonlinear Controllers for a Fluid Tank System. EUROCAST 2009: 618-625 - 2007
- [j2]Mikulás Huba
Modular Approach to Teaching PID Control. IEEE Trans. Ind. Electron. 54(6): 3112-3121 (2007) - 2005
- [j1]Mikulás Huba
P- und PD-Polvorgaberegler für Regelstrecken mit begrenzter Stellgröße (P and PD Pole Assignment Controllers for Constrained Systems). Autom. 53(6): 273-284 (2005)
1990 – 1999
- 1999
- [c2]Mikulás Huba, D. Sovisová, I. Oravec:
Invariant sets based concept of the pole assignment control. ECC 1999: 1754-1759 - [c1]Mikulás Huba, Katarína Záková:
A robust step response based plant identification for controller tunning. ECC 1999: 1760-1765
Coauthor Index
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last updated on 2024-10-07 21:19 CEST by the dblp team
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