Search Results - "Belikov, J."

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  1. 1

    Explainable Artificial Intelligence (XAI) techniques for energy and power systems: Review, challenges and opportunities by Machlev, R., Heistrene, L., Perl, M., Levy, K.Y., Belikov, J., Mannor, S., Levron, Y.

    Published in Energy and AI (01-08-2022)
    “…Despite widespread adoption and outstanding performance, machine learning models are considered as “black boxes”, since it is very difficult to understand how…”
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    Journal Article
  2. 2

    Open source dataset generator for power quality disturbances with deep-learning reference classifiers by Machlev, R., Chachkes, A., Belikov, J., Beck, Y., Levron, Y.

    Published in Electric power systems research (01-06-2021)
    “…•A core obstacle that prevents the direct comparison of power quality disturbances classification techniques is the lack of a standard database that can be…”
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    Journal Article
  3. 3

    Constrained Intelligent Frequency Control in an AC Microgrid: An Online Reinforcement Learning Based PID Tuning Approach by Nosrati, K., Tepljakov, A., Petlenkov, E., Skiparev, V., Belikov, J., Levron, Y.

    “…Variable output power in isolated microgrids (MGs) threatens frequency stability and may even degrade power quality. In response, intelligent control methods…”
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    Conference Proceeding
  4. 4

    Regions of exponential stability in coefficient space for linear systems on nonuniform discrete domains by Belikov, J., Kaparin, V.

    “…The paper addresses the problem of exponential stability of linear control systems defined on nonuniform discrete domains. The main goal of this research is to…”
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    Journal Article
  5. 5

    Explaining the Decisions of Deep Learning Models for Load Disaggregation (NILM) Based on XAI by Machlev, R., Malka, A., Perl, M., Levron, Y., Belikov, J.

    “…Non-Intrusive Load Monitoring (NILM) techniques estimate the consumption of individual appliances in a household or facility, based on readings of a…”
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    Conference Proceeding
  6. 6

    Degree of Dieudonné determinant defines the order of nonlinear system by Kotta, Ü., Belikov, J., Halás, M., Leibak, A.

    Published in International journal of control (04-03-2019)
    “…The paper proves that the order of the minimal state-space realisation of a set of irreducible implicit input--output (i/o) difference equations is equal to…”
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    Journal Article
  7. 7

    Minimal realisation of bilinear and quadratic input-output difference equations in state-space form by Belikov, J., Kotta, P., Kotta, Ü., Zinober, A.S.I.

    Published in International journal of control (01-12-2011)
    “…This article studies the realisability property of discrete-time bilinear and quadratic input-output (i/o) equations in the classical state-space form…”
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    Journal Article
  8. 8

    Image Encryption using Fractional Singular Chaotic Systems: An Extended Kalman Filtering Approach by Nosrati, K., Belikov, J., Tepljakov, A., Petlenkov, E.

    “…Modern and complex dynamical modeling requires effective and precise state estimation techniques to make the system modes available for control actions without…”
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    Conference Proceeding
  9. 9

    Coordinated PI-based frequency deviation control of isolated hybrid microgrid: An online multi-agent tuning approach via reinforcement learning by Nosrati, K., Tepljakov, A., Petlenkov, E., Levron, Y., Skiparev, V., Belikov, J.

    “…Numerous remote area applications welcome standalone renewable energy power generation systems or isolated microgrids (MGs). Due to the nature of solar and…”
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    Conference Proceeding
  10. 10

    Distributed storage placement policy for minimizing frequency deviations: A combinatorial optimization approach based on enhanced cross-entropy method by Machlev, R., Chowdhury, N.R., Belikov, J., Levron, Y.

    “…•The paper addresses the challenge of allocating storage units to minimize frequency deviations.•The Cross-Entropy (CE) method is used for finding the optimal…”
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    Journal Article
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    A review of optimal control methods for energy storage systems - energy trading, energy balancing and electric vehicles by Machlev, R., Zargari, N., Chowdhury, N.R., Belikov, J., Levron, Y.

    Published in Journal of energy storage (01-12-2020)
    “…•This paper reviews the latest directions and trends related to optimal control of storage systems.•We focus on the most popular optimal control strategies…”
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    Journal Article
  14. 14

    State-space control of nonlinear systems identified by ANARX and Neural Network based SANARX models by Vassiljeva, K, Petlenkov, E, Belikov, J

    “…A state-space technique for control of nonlinear SISO systems identified by an Additive Nonlinear Autoregressive eXogenous (ANARX) model is presented. Two…”
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    Conference Proceeding
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    Automated neural network model selection algorithm for feedback linearization based control by Vassiljeva, K, Petlenkov, E, Belikov, J

    “…For the best model identification a set of neural networks (NNs) must be trained. First of all it is necessary to obtain the optimal structure of the NN. In…”
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    Conference Proceeding
  17. 17

    Stability and stabilizability of linear time-delay systems on homogeneous time scales by Belikov, Juri, Bartosiewicz, Zbigniew

    “…This paper provides necessary and sufficient conditions for the exponential stability of a linear retarded time-delay system defined on a homogeneous time…”
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    Journal Article
  18. 18

    Global linearization approach to nonlinear control systems: a brief tutorial overview by Belikov, Juri, Kaldmae, Arvo, Kotta, Ulle

    “…The paper gives an overview of an algebraic approach based on differential 1-forms, developed for the study of nonlinear control systems. The purpose of the…”
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    Journal Article
  19. 19

    On the transformation of a nonlinear discrete-time input–output system into the strong row-reduced form by Bartosiewicz, Zbigniew, Belikov, Juri, Kotta, Uelle, Tonso, Maris, Wyrwas, Malgorzata

    “…The paper addresses the problem of the transformation of nonlinear discrete-time systems, described by implicit higher-order difference equations, into the…”
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    Journal Article
  20. 20

    Functions’ algebra in nonlinear control: computational aspects and software by Belikov, Juri, Kaldmaee, Arvo, Kaparin, Vadim, Kotta, Uelle, Shumsky, Alexey Ye, Tonso, Maris, Zhirabok, Alexey

    “…The paper describes the Mathematica-based software for studying nonlinear control systems. The software relies on an algebraic method, called functions'…”
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    Journal Article