Wykaz publikacji wybranego autora

Leszek Rutkowski, prof. dr hab. inż.

profesor zwyczajny

Wydział Informatyki
WI-ii, Instytut Informatyki


  • 2022

    [dyscyplina 1] dziedzina nauk inżynieryjno-technicznych / informatyka techniczna i telekomunikacja


Identyfikatory Autora Informacje o Autorze w systemach zewnętrznych

ORCID: 0000-0001-6960-9525 orcid iD

ResearcherID: AAF-4693-2021

Scopus: 56694314600

PBN: 5e709200878c28a04738e75e

System Informacyjny AGH (SkOs)





Liczba pozycji spełniających powyższe kryteria selekcji: 32, z ogólnej liczby 34 publikacji Autora


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  • A decentralized learning control scheme for constrained nonlinear interconnected systems based on dynamic event-triggered mechanism / Jing Wang, Jiacheng Wu, Hao Shen, Jinde Cao, Leszek RUTKOWSKI // IEEE Transactions on Systems, Man, and Cybernetics ; ISSN 2168-2216. Systems. — 2023 vol. 53 iss. 8, s. 4934–4943. — Bibliogr. s. 4942–4943, Abstr.. — Publikacja dostępna online od: 2023-03-30. — L. Rutkowski – dod. afiliacja: Systems Research Institute, Polish Academy of Sciences; Information Technology Institute, University of Social Sciences, Łódź. — tekst: https://ieeexplore-1ieee-1org-10000477w0044.wbg2.bg.agh.edu.pl/stamp/stamp.jsp?tp=&arnumber=10088168

    orcid iD
  • keywords: dynamic event-triggered mechanism, DETM, input constraints, integral reinforcement learning, IRL, NISs, non linear interconnected systems

    cyfrowy identyfikator dokumentu: 10.1109/TSMC.2023.3257871

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  • A non-linear SVR-based cascade model for improving prediction accuracy of biomedical data analysis / Ivan Izonin, Roman Tkachenko, Olexander Gurbych, Michal Kovac, Leszek RUTKOWSKI, Rostyslav Holoven // Mathematical Biosciences and Engineering ; ISSN 1547-1063. — 2023 vol. 20 iss. 7, s. 13398–13414. — Bibliogr. s. 13412–13414, Abstr.. — L. Rutkowski - dod. afiliacje: Systems Research Institute of the Polish Academy of Sciences, Warsaw, Poland; Information Technology Institute, University of Social Sciences, Lodz, Poland. — tekst: http://www.aimspress.com/article/doi/10.3934/mbe.2023597

    orcid iD
  • keywords: data analysis, ensemble model, cascading, biomedical data, Ito decomposition, linear Support Vector Machine, non-linear input extension, prediction tasks

    cyfrowy identyfikator dokumentu: 10.3934/mbe.2023597

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  • Artificial Intelligence and Soft Computing : 21st International Conference, ICAISC 2022 : Zakopane, Poland, June 19–23, 2022 : proceedings, Pt. 1 / eds. Leszek RUTKOWSKI, Rafał Scherer, Marcin Korytkowski, Witold Pedrycz, Ryszard TADEUSIEWICZ, Jacek M. Zurada. — Cham : Springer Nature Switzerland, cop. 2023. — XVIII, 439 s.. — (Lecture Notes in Computer Science ; ISSN 0302-9743 ; LNCS 13588. Lecture Notes in Artificial Intelligence). — Bibliogr. przy rozdz.. — ISBN: 978-3-031-23491-0 ; e-ISBN: 978-3-031-23492-7. — L. Rutkowski - dod. afiliacja: Systems Research Institute of the Polish Academy of Sciences, Warsaw

    orcid iD
  • keywords: neural networks, machine learning, evolutionary algorithms, reasoning, optimization, signal processing, computer vision, databases, genetic algorithms, semantics, artificial intelligence, knowledge representation, learning, parallel algorithms, correlation analysis, deep learning, computer networks, network protocols, algorithmic game theory and mechanism design

    cyfrowy identyfikator dokumentu: 10.1007/978-3-031-23492-7

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  • Asynchronous fault detection for memristive neural networks with dwell-time-based communication protocol / An Lin, Jun Cheng, Leszek RUTKOWSKI, Shiping Wen, Mengzhuo Luo, Jinde Cao // IEEE Transactions on Neural Networks and Learning Systems ; ISSN 2162-237X. — 2023 vol. 34 no. 11, s. 9004–9015. — Bibliogr. s. 9013–9014, Abstr.. — Publikacja dostępna online od: 2022-03-10. — L. Rutkowski - dod. afiliacja: Systems Research Institute of the Polish Academy of Sciences, Warsaw. — tekst: https://ieeexplore-1ieee-1org-1000047h800c3.wbg2.bg.agh.edu.pl/stamp/stamp.jsp?tp=&arnumber=9732697

    orcid iD
  • keywords: fault detection, Hidden Markov Model, HMM, SCPs, stochastic communication protocols, memristive neural networks

    cyfrowy identyfikator dokumentu: 10.1109/TNNLS.2022.3155149

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  • Cryptographic algorithms with data shorter than the encryption key, based on LZW and Huffman coding / Tomasz Krokosz, Jarogniew Rykowski, Małgorzata ZAJĘCKA, Robert BRZOZA-WOCH, Leszek RUTKOWSKI // Sensors [Dokument elektroniczny]. — Czasopismo elektroniczne ; ISSN 1424-8220. — 2023 vol. 23 iss. 17 art. no. 7408, s. 1-19. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 19, Abstr.. — Publikacja dostępna online od: 2023-08-25. — L. Rutkowski - dod. afiliacja: Systems Research Institute of the Polish Academy of Sciences. — tekst: https://www.mdpi.com/1424-8220/23/17/7408/pdf?version=1692945388

    orcid iD
  • keywords: information security, compression, entropy, privacy, Huffman coding, short encryption key, LZW

    cyfrowy identyfikator dokumentu: 10.3390/s23177408

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  • Event-triggered finite-time guaranteed cost H-infinity consensus for nonlinear uncertain multi-agent systems / Yiping Luo, Wanling Zhu, Jinde Cao, Leszek RUTKOWSKI // IEEE Transactions on Network Science and Engineering ; ISSN 2327-4697. — 2022 vol. 9 no. 3, s. 1527–1539. — Bibliogr. s. 1538–1539, Abstr.. — L. Rutkowski - dod. afiliacja: Information Technology Institute, University of Social Sciences, Łódź, Poland; Systems Research Institute of the Polish Academy of Sciences, Warsaw, Poland. — tekst: https://ieeexplore-1ieee-1org-10000479q001c.wbg2.bg.agh.edu.pl/stamp/stamp.jsp?tp=&arnumber=9699061

    orcid iD
  • keywords: uncertain multi-agent system, finite time boundedness, guaranteed cost, event triggered, H-infinity performance

    cyfrowy identyfikator dokumentu: 10.1109/TNSE.2022.3147254

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  • Event-triggered synchronization of multiple discrete-time Markovian jump memristor- based neural networks with mixed mode-dependent delays / Huiyuan Li, Jian-An Fang, Xiaofan Li, Leszek RUTKOWSKI, Tingwen Huang // IEEE Transactions on Circuits and Systems. I, Regular Papers ; ISSN 1549-8328. — 2022 vol. 69 no. 5, s. 2095–2107. — Bibliogr. s. 2106–2107, Abstr.. — L. Rutkowski - dod. afiliacja: Information Technology Institute, University of Social Sciences, Łódź, Poland; Polish Academy of Sciences, Systems Research Institute, Warsaw, Poland. — tekst: https://ieeexplore-1ieee-1org-10000479q0008.wbg2.bg.agh.edu.pl/stamp/stamp.jsp?tp=&arnumber=9721040

    orcid iD
  • keywords: synchronization, memristor-based neural networks, Markovian jump, event triggered impulsive coupling, mixed time delays

    cyfrowy identyfikator dokumentu: 10.1109/TCSI.2022.3149535

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  • Fuzzy $H_\infty$ control of discrete-time nonlinear Markov jump systems via a novel hybrid reinforcement Q-learning method / Jing Wang, Jiacheng Wu, Hao Shen, Jinde Cao, Leszek RUTKOWSKI // IEEE Transactions on Cybernetics ; ISSN 2168-2267. — 2023 vol. 53 no. 11, s. 7380–7391. — Bibliogr. s. 7390–7391, Abstr.. — Publikacja dostępna online od: 2022-11-23. — L. Rutkowski - dod. afiliacja: Systems Research Institute, Polish Academy of Sciences, Warsaw. — tekst: https://ieeexplore-1ieee-1org-1000047rs0061.wbg2.bg.agh.edu.pl/stamp/stamp.jsp?tp=&arnumber=9961931

    orcid iD
  • keywords: coupled algebraic Riccati equation (CARE), fuzzy H∞ control, hybrid reinforcement Q-learning, Markov jump nonlinear systems

    cyfrowy identyfikator dokumentu: 10.1109/TCYB.2022.3220537

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  • General decay stability for nonautonomous neutral stochastic systems with time-varying delays and Markovian switching / Lichao Feng, Lei Liu, Jinde Cao, Leszek RUTKOWSKI, Guoping Lu // IEEE Transactions on Cybernetics ; ISSN 2168-2267. — 2022 vol. 52 iss. 6, s. 5441–5453. — Bibliogr. s. 5452–5453, Abstr.. — Publikacja dostępna online od: 2020-11-25. — L. Rutkowski – dod. afiliacje: Częstochowa University of Technology ; University of Social Sciences, Łódź ; Polish Academy of Science, Warszawa. — tekst: https://ieeexplore-1ieee-1org-10000475s00ed.wbg2.bg.agh.edu.pl/stamp/stamp.jsp?tp=&arnumber=9271927

    orcid iD
  • keywords: exponential stability, general decay, multiple degenerate functionals, non autonomous hybrid neutral stochastic systems, polynomial stability

    cyfrowy identyfikator dokumentu: 10.1109/TCYB.2020.3031992

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  • Observability and detectability of stochastic labeled graphs / Shiyong Zhu, Jinde Cao, Lin Lin, Leszek RUTKOWSKI, Jianquan Lu, Guoping Lu // IEEE Transactions on Automatic Control ; ISSN 0018-9286. — 2023 vol. 68 iss. 12, s. 7299–7311. — Bibliogr. s. 7310, Abstr.. — Publikacja dostępna online od: 2023-05-22. — L. Rutkowski - dod. afiliacje: Systems Research Institute, Polish Academy of Sciences, Warsaw ; University of Social Sciences, Łódz. — tekst: https://ieeexplore-1ieee-1org-1000047h80014.wbg2.bg.agh.edu.pl/stamp/stamp.jsp?tp=&arnumber=10130587

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  • keywords: observability, NP-hardness, minimal sensors placement problem, detectability, colored graphs, discrete time and discrete state dynamic systems

    cyfrowy identyfikator dokumentu: 10.1109/TAC.2023.3278797

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  • Robust composite $H_\infty$ synchronization of Markov jump reaction–diffusion neural networks via a disturbance observer-based method / Hao Shen, Xuelian Wang, Jing Wang, Jinde Cao, Leszek RUTKOWSKI // IEEE Transactions on Cybernetics ; ISSN 2168-2267. — 2022 vol. 52 no. 12, s. 12712–12721. — Bibliogr. s. 12720–12721, Abstr.. — L. Rutkowski - dod. afiliacja: Information Technology Institute, Academy of Social Sciences, Łódź, Poland; System Research Institute of Polish Academy of Sciences, Warsaw, Poland. — tekst: https://ieeexplore-1ieee-1org-10000479q001c.wbg2.bg.agh.edu.pl/stamp/stamp.jsp?tp=&arnumber=9512521

    orcid iD
  • keywords: synchronization, MJNNs, Markov jump neural networks, composite disturbance rejection control, CDRC, reaction diffusion

    cyfrowy identyfikator dokumentu: 10.1109/TCYB.2021.3087477

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