Location via proxy:   [ UP ]  
[Report a bug]   [Manage cookies]                

An adaptive cubature Kalman filter for nonlinear systems against randomly occurring injection attacks

https://doi.org/10.1016/j.amc.2021.126834 ·

Journal: Applied Mathematics and Computation, 2022, p. 126834

Publisher: Elsevier BV

Authors: Yuan-Wei Lv, Guang-Hong Yang

Funders

  1. State Key Laboratory of Synthetical Automation for Process Industries
  2. National Key Research and Development Program of China
  3. National Natural Science Foundation of China

List of references

  1. Bar-Shalom
  2. Bilik, Maneuvering target tracking in the presence of glint using the nonlinear gaussian mixture Kalman filter, IEEE Trans. Aerosp. Electron. Syst., № 46, с. 246
    https://doi.org/10.1109/TAES.2010.5417160
  3. Xiao, RGB-D sensor-based visual target detection and tracking for an intelligent wheelchair robot in indoors environments, Int. J. Control Autom. Syst., № 13, с. 521
    https://doi.org/10.1007/s12555-014-0353-4
  4. Zhu, Overview of environment perception for intelligent vehicles, IEEE Trans. Intell. Transp. Syst., № 18, с. 2584
    https://doi.org/10.1109/TITS.2017.2658662
  5. Li, Rigid point set registration based on cubature Kalman filter and its application in intelligent vehicles, IEEE Trans. Intell. Transp. Syst., № 19, с. 1754
    https://doi.org/10.1109/TITS.2017.2735362
  6. Kalman, A new approach to linear filtering and prediction problem, J. Basic Eng., № 82, с. 34
    https://doi.org/10.1115/1.3662552
  7. Ljung, Asymptotic behavior of the extended Kalman filter as a parameter estimator for linear systems, IEEE Trans. Automat. Control, № 24, с. 36
    https://doi.org/10.1109/TAC.1979.1101943
  8. Hermoso-Carazo, Different approaches for state filtering in nonlinear systems with uncertain observations, Appl. Math. Comput., № 187, с. 708
  9. Wu, Multi-step prediction of chaotic time-series with intermittent failures based on the generalized nonlinear filtering methods, Appl. Math. Comput., № 219, с. 8584
  10. Hao, Nonlinear weighted measurement fusion unscented Kalman filter with asymptotic optimality, Inf. Sci., № 299, с. 85
    https://doi.org/10.1016/j.ins.2014.12.013
  11. Reif, Stochastic stability of the discrete-time extended Kalman filter, IEEE Trans. Automat. Control, № 44, с. 714
    https://doi.org/10.1109/9.754809
  12. Julier, A new method for the nonlinear transformation of means and covariances in filters and estimators, IEEE Trans. Automat. Control, № 45, с. 477
    https://doi.org/10.1109/9.847726
  13. Xiong, Performance evaluation of UKF-based nonlinear filtering, Automatica, № 42, с. 261
    https://doi.org/10.1016/j.automatica.2005.10.004
  14. Cappe, An overview of existing methods and recent advances in sequential Monte Carlo, Proc. IEEE, № 95, с. 899
    https://doi.org/10.1109/JPROC.2007.893250
  15. Song, Particle filtering for a class of cyber-physical systems under round-robin protocol subject to randomly occurring deception attacks, Inf. Sci., № 544, с. 298
    https://doi.org/10.1016/j.ins.2020.07.047
  16. Arasaratnam, Cubature Kalman filters, IEEE Trans. Automat. Control, № 54, с. 1254
    https://doi.org/10.1109/TAC.2009.2019800
  17. Zhao, Design of adaptive robust square-root cubature Kalman filter with noise statistic estimator, Appl. Math. Comput., № 256, с. 352
  18. Dong, Variational Bayesian adaptive cubature information filter based on Wishart distribution, IEEE Trans. Automat. Control, № 62, с. 6051
    https://doi.org/10.1109/TAC.2017.2704442
  19. Mehra, Approaches to adaptive filtering, IEEE Trans. Automat. Control, № 17, с. 693
    https://doi.org/10.1109/TAC.1972.1100100
  20. Li, A recursive multiple model approach to noise identification, IEEE Trans. Aerosp. Electron. Syst., № 30, с. 671
    https://doi.org/10.1109/7.303738
  21. Krummenauer, Improving the threshold performance of maximum likelihood estimation of direction of arrival, Signal Process., № 90, с. 1582
    https://doi.org/10.1016/j.sigpro.2009.10.028
  22. Tzikas, The variational approximation for Bayesian inference, IEEE Signal Process. Mag., № 25, с. 131
    https://doi.org/10.1109/MSP.2008.929620
  23. Sarkka, Recursive noise adaptive Kalman filtering by variational Bayesian approximations, IEEE Trans. Automat. Control, № 54, с. 596
    https://doi.org/10.1109/TAC.2008.2008348
  24. Huang, A novel adaptive Kalman filter with inaccurate process and measurement noise covariance matrices, IEEE Trans. Automat. Control, № 63, с. 594
    https://doi.org/10.1109/TAC.2017.2730480
  25. Jia, A novel adaptive Kalman filter with unknown probability of measurement loss, IEEE Signal Process. Lett., № 26, с. 1862
    https://doi.org/10.1109/LSP.2019.2951464
  26. Zhu, An adaptive Kalman filter with inaccurate noise covariances in the presence of outliers, IEEE Trans. Automat. Control
  27. Xu, Adaptive fixed-lag smoothing algorithms based on the variational Bayesian method, IEEE Trans. Automat. Control, № 66, с. 4881
    https://doi.org/10.1109/TAC.2020.3042480
  28. Zhang, A student’s t-based measurement uncertainty filter for SINS/USBL tightly integration navigation system, IEEE Trans. Veh. Technol., № 70, с. 8627
    https://doi.org/10.1109/TVT.2021.3102085
  29. Cui, A Gaussian mixture regression model based adaptive filter for non-Gaussian noise without a priori statistic, Signal Process., № 190, с. 1
  30. Mo, On the performance degradation of cyber-physical systems under stealthy integrity attacks, IEEE Trans. Automat. Control, № 61, с. 2618
    https://doi.org/10.1109/TAC.2015.2498708
  31. An, Distributed secure state estimation for cyber-physical systems under sensor attacks, Automatica, № 107, с. 526
    https://doi.org/10.1016/j.automatica.2019.06.019
  32. Lu, Malicious attacks on state estimation against distributed control systems, IEEE Trans. Automat. Control, № 65, с. 3911
    https://doi.org/10.1109/TAC.2019.2949877
  33. Zhang, Optimal denial-of-service attack scheduling with energy constraint, IEEE Trans. Automat. Control, № 60, с. 3023
    https://doi.org/10.1109/TAC.2015.2409905
  34. An, Decentralized adaptive fuzzy secure control for nonlinear uncertain interconnected systems against intermittent dos attacks, IEEE Trans. Cybern., № 49, с. 827
    https://doi.org/10.1109/TCYB.2017.2787740
  35. Guo, Secure state estimation against integrity attacks: a gaussian mixture model approach, IEEE Trans. Signal Process., № 67, с. 194
    https://doi.org/10.1109/TSP.2018.2879037
  36. Yang, Detection against randomly occurring complex attacks on distributed state estimation, Inf. Sci., № 547, с. 539
    https://doi.org/10.1016/j.ins.2020.08.008
  37. Wang, Event-based secure h∞ load frequency control for delayed power systems subject to deception attacks, Appl. Math. Comput., № 394, с. 1
    https://doi.org/10.1016/j.camwa.2020.12.016
  38. Chen, Secure fusion estimation for bandwidth constrained cyber-physical systems under replay attacks, IEEE Trans. Cybern., № 48, с. 1862
    https://doi.org/10.1109/TCYB.2017.2716115
  39. Ding, A survey on security control and attack detection for industrial cyber-physical systems, Neurocomputing, № 275, с. 1674
    https://doi.org/10.1016/j.neucom.2017.10.009
  40. Cao, Finite-time sliding-mode control of Markovian jump cyber-physical systems against randomly occurring injection attacks, IEEE Trans. Automat. Control, № 65, с. 1264
    https://doi.org/10.1109/TAC.2019.2926156
  41. Saul, Mean field theory for sigmoid belief networks, J. Artif. Intell. Res., № 4, с. 61
    https://doi.org/10.1613/jair.251
  42. Bishop
  43. Dias, Cooperative target tracking using decentralized particle filtering and RSS sensors, IEEE Trans. Signal Process, № 61, с. 3632
    https://doi.org/10.1109/TSP.2013.2262276
About this publication
Publication type Журнальна стаття
Number of citations 0
Number of works in the list of references 43
Journal indexed in Scopus Yes
Journal indexed in Web of Science Yes
Пошук