Rafal Madonski

35 papers C 4Journal 18Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive ADRC with deep reinforcement learning for leader-follower control in unmanned tracked vehicles. J. Syst. Control. Eng. Salem-Bilal Amokrane, Momir R. Stankovic, Rafal Madonski, Ahmed T.-E. Benyahia, Raouf Fareh
2025	—	`conf`	Active Disturbance Rejection Control Tuned by Fictitious Reference Iterative Tuning for Tower Crane Systems. ECC Raul-Cristian Roman, Radu-Emil Precup, Krzysztof Stebel, Rafal Madonski
2025	J	`jnl`	Cascaded Filter PID Paradigm for Error-Based Active Disturbance Rejection Control: Equivalence, Design, and Implementation Guidelines. IEEE Trans. Ind. Electron. Mengying Cao, Jun Yang, Shihua Li, Rafal Madonski, Wenchao Xue
2025	J	`jnl`	Improving Control Performance by Cascading Observers: Case of ADRC With Cascade ESO. IEEE CAA J. Autom. Sinica Ahmed T.-E. Benyahia, Momir R. Stankovic, Rafal Madonski, Oluleke Babayomi, Stojadin M. Manojlovic
2025	J	`jnl`	Robust trajectory tracking for omnidirectional robots by means of anti-peaking linear active disturbance rejection. Robotics Auton. Syst. Mario Ramirez-Neria, Rafal Madonski, Eduardo Gamaliel Hernández-Martínez, Norma B. Lozada-Castillo, Guillermo Fernández-Anaya, Alberto Luviano-Juárez
2024	J	`jnl`	Cascaded Generalized Super-Twisting Observer Design for Sensorless PMSM Drives. IEEE Trans. Circuits Syst. II Express Briefs Jiajia Huang, Jianliang Mao, Xin Dong, Keqi Mei, Rafal Madonski, Chuanlin Zhang
2023	J	`jnl`	Active disturbance rejection control for unmanned tracked vehicles in leader-follower scenarios: discrete-time implementation and field test validation. CoRR Salem-Bilal Amokrane, Mohammed Zouaoui Laidouni, Touati Adli, Rafal Madonski, Momir R. Stankovic
2023	J	`jnl`	From PID to ADRC and back: expressing error-based active disturbance rejection control schemes as standard industrial 1DOF and 2DOF controllers. CoRR Momir R. Stankovic, He Ting, Rafal Madonski
2023	C	`conf`	Leader-Follower ADRC Strategy for Omnidirectional Mobile Robots without Time-Derivatives in the Tracking Controller. ACC Mario Ramirez-Neria, Alberto Luviano-Juárez, Rafal Madonski, Rodrigo Ramírez-Juárez, Norma B. Lozada-Castillo, Zeyu Gao
2023	J	`jnl`	Leader-Follower Formation and Disturbance Rejection Control for Omnidirectional Mobile Robots. Robotics Mario Ramirez-Neria, Jaime González-Sierra, Rafal Madonski, Rodrigo Ramírez-Juárez, Eduardo Gamaliel Hernández-Martínez, Guillermo Fernández-Anaya
2022	J	`jnl`	ADRC in Output and Error Form: Connection, Equivalence, Performance. CoRR Rafal Madonski, Gernot Herbst, Momir R. Stankovic
2022	J	`jnl`	Active Disturbance Rejection Control Design With Suppression of Sensor Noise Effects in Application to DC-DC Buck Power Converter. IEEE Trans. Ind. Electron. Krzysztof Lakomy, Rafal Madonski, Bin Dai, Jun Yang, Piotr Kicki, Maral Ansari, Shihua Li
2022	J	`jnl`	Composite Control Design for Systems With Uncertainties and Noise Using Combined Extended State Observer and Kalman Filter. IEEE Trans. Ind. Electron. Hao Sun, Rafal Madonski, Shihua Li, Ya Zhang, Wenchao Xue
2022	—	`conf`	Trajectory Tracking Kinematic Control of Omnidirectional Mobile Robots via Active Disturbance Rejection Control with Anti-Peaking Mechanism. CASE Mario Ramirez-Neria, Alberto Luviano-Juárez, Rafal Madonski, Eduardo Gamaliel Hernández-Martínez, Guillermo Fernández-Anaya, Norma B. Lozada-Castillo
2022	J	`jnl`	Tuning and Implementation Variants of Discrete-Time ADRC. CoRR Gernot Herbst, Rafal Madonski
2021	J	`jnl`	Active Disturbance Rejection Control (ADRC) Toolbox for MATLAB/Simulink. CoRR Wojciech Giernacki, Krzysztof Lakomy, Jacek Michalski, Rafal Madonski
2021	J	`jnl`	On dealing with harmonic uncertainties in the class of active disturbance rejection controllers. Int. J. Control Momir R. Stankovic, Rafal Madonski, Sally Shao, Davorin Mikluc
2020	—	`conf`	Active Disturbance Rejection Control of High-Order Flat Underactuated Systems: Mass-Spring Benchmark Problem. KKA Rafal Madonski, Mario Ramirez-Neria, Wojciech Giernacki
2020	J	`jnl`	Active Disturbance Rejection Control with Sensor Noise Suppressing Observer for DC-DC Buck Power Converters. CoRR Krzysztof Lakomy, Rafal Madonski, Bin Dai, Jun Yang, Piotr Kicki, Maral Ansari, Shihua Li
2020	J	`jnl`	Cascade Extended State Observer for ADRC Applications under Measurement Noise. CoRR Krzysztof Lakomy, Rafal Madonski
2020	—	`conf`	Comparative Study of Output-based and Error-based ADRC Schemes in Application to Buck Converter-fed DC Motor System. CDC Rafal Madonski, Krzysztof Lakomy, Jun Yang
2020	J	`jnl`	Continuous dynamic sliding mode control of converter-fed DC motor system with high order mismatched disturbance compensation. Trans. Inst. Meas. Control Arshad Rauf, Shihua Li, Rafal Madonski, Jun Yang
2020	C	`conf`	Design of ADRC for Second-Order Mechanical Systems without Time-Derivatives in the Tracking Controller. ACC Mario Ramirez-Neria, Rafal Madonski, Alberto Luviano-Juárez, Zhiqiang Gao, Hebertt Sira-Ramírez
2020	—	`conf`	Discrete-Time Active Disturbance Rejection Control: A Delta Operator Approach. KKA Mario Ramirez-Neria, Alberto Luviano-Juárez, Norma B. Lozada-Castillo, Gilberto Ochoa-Ortega, Rafal Madonski
2020	—	`conf`	Error-Based Active Disturbance Rejection Altitude/Attitude Control of a Quadrotor UAV. KKA Momir R. Stankovic, Rafal Madonski, Stojadin M. Manojlovic, Taki Eddine Lechekhab, Davorin Mikluc
2020	J	`jnl`	Robust converter-fed motor control based on active rejection of multiple disturbances. CoRR Rafal Madonski, Krzysztof Lakomy, Momir R. Stankovic, Sally Shao, Jun Yang, Shihua Li
2019	—	`conf`	Sliding Mode Control of Converter-fed DC Motor with Mismatched Load Torque Compensation. ISIE Arshad Rauf, Jun Yang, Rafal Madonski, Shihua Li, Zuo Wang
2016	C	`conf`	Add-on module of Active Disturbance Rejection for set-point tracking of motion control systems. IAS Wenchao Xue, Rafal Madonski, Zhiqiang Gao, Yi Huang, Krzysztof Lakomy
2016	C	`conf`	Practical solution to positivity problem in water management systems - an ADRC approach. ACC Rafal Madonski, Marcin Nowicki, Przemyslaw Herman
2015	—	`conf`	First look at conditions on applicability of ADRC. RoMoCo Marcin Nowicki, Rafal Madonski, Krzysztof Kozlowski
2013	—	`conf`	High-gain disturbance observer tuning seen as a multicriteria optimization problem. MED Rafal Madonski, Adam Piosik, Przemyslaw Herman
2013	—	`conf`	On the usefulness of higher-order disturbance observers in real control scenarios based on perturbation estimation and mitigation. RoMoCo Rafal Madonski, Przemyslaw Herman
2012	—	`conf`	Method of sensor noise attenuation in high-gain observers - Experimental verification on two laboratory systems. ROSE Rafal Madonski, Przemyslaw Herman
2011	—	`conf`	An Experimental Comparison of Model-Free Control Methods in a Nonlinear Manipulator. ICIRA (1) Mateusz Przybyla, Rafal Madonski, Marta Kordasz, Przemyslaw Herman
2011	—	`conf`	Application of Active Disturbance Rejection Control to a reel-to-reel system seen in tire industry. CASE Rafal Madonski, Mateusz Przybyla, Marta Kordasz, Przemyslaw Herman

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.