237
Views
2
CrossRef citations to date
0
Altmetric
Regular papers

LPV system identification with multiple-model approach based on shifted asymmetric laplace distribution

ORCID Icon, &
Pages 1452-1465 | Received 21 Sep 2019, Accepted 29 Nov 2020, Published online: 08 Jan 2021

References

  • Cox, P. B., Toth, R., & Petreczky, M. (2018). Towards efficient maximum likelihood estimation of LPV-SS models. Automatica, 97, 392–403. https://doi.org/10.1016/j.automatica.2018.08.021
  • Deng, J., & Huang, B. (2012). Identification of nonlinear parameter varying systems with missing output data. AIChE Journal, 58(11), 3454–3467. https://doi.org/10.1002/aic.13735
  • Fujimoto, Y., Kasai, W., & Sugie, T. (2018). Informative input design for Bayesian identification of LPV systems. SICE Journal of Control, Measurement, and System Integration, 11(3), 214–220. https://doi.org/10.9746/jcmsi.11.214
  • Hamdi, S. E., Amairi, M., & Aoun, M. (2017). Orthotopic approach of set-membership parameters estimation for LPV system using fractional models. 18th international conference on sciences and techniques of automatic control and computer engineering (pp. 261–266).
  • Jin, X., Huang, B., & Shook, D. S. (2011). Multiple model LPV approach to nonlinear process identification with EM algorithm. Journal of Process Control, 21(1), 182–193. https://doi.org/10.1016/j.jprocont.2010.11.008
  • Jin, X., Wang, S., Huang, B., & Forbes, F. (2012). Multiple model based LPV soft sensor development with irregular/missing process output measurement. Control Engineering Practice, 20(2), 165–172. https://doi.org/10.1016/j.conengprac.2011.10.007
  • Liu, X., Yang, X., Zhu, P., & Xiong, W. (2019). Robust identification of nonlinear time-delay system in state-space form. Journal of the Franklin Institute, 356(16), 9953–9971. https://doi.org/10.1016/j.jfranklin.2019.01.054
  • Ma, J., Wu, O., Huang, B., & Ding, F. (2018). Expectation maximization estimation for a class of input nonlinear state space systems by using the Kalman smoother. Signal Processing, 145, 295–303. https://doi.org/10.1016/j.sigpro.2017.12.019
  • Morato, M. M., Mendes, P. R. C., Normey-Rico, J. E., & Bordons, C. (2019). Robustness conditions of LPV fault estimation systems for renewable microgrids. International Journal of Electrical Power & Energy Systems, 111, 325–350. https://doi.org/10.1016/j.ijepes.2019.04.014
  • Scherer, C. W. (2001). LPV control and full block multipliers. Automatica, 37(3), 361–375. https://doi.org/10.1016/S0005-1098(00)00176-X
  • Sun, H., Yang, X., & Gao, H. (2016). A spatially constrained shifted asymmetric Laplace mixture model for the grayscale image segmentation. Neurocomputing, 331(28), 50–57.https://doi.org/10.1016/j.neucom.2018.10.039
  • Turk, D., Gillis, J., Pipeleers, G., & Swevers, J. (2018). Identification of linear parameter-varying systems: A reweighted l2,1-norm regularization approach. Mechanical Systems and Signal Processing, 100(1), 729–742. https://doi.org/10.1016/j.ymssp.2017.07.054
  • Xu, Z., Zhao, J., Qian, J., & Zhu, Y. (2009). Nonlinear MPC using an identified LPV model. Inudstrial & Engineering Chemistry Research, 48(6), 3043–3051. https://doi.org/10.1021/ie801057q
  • Yamamoto, K., Sename, O., Koenig, D., & Moulaire, P. (2019). Design and experimentation of an LPV extended state feedback control on electric power steering systems. Control Engineering Practice, 90, 123–132. https://doi.org/10.1016/j.conengprac.2019.06.004
  • Yang, X., & Gao, H. (2014). Multiple model approach to linear parameter varying time-delay system identification with EM algorithm. Journal of the Franklin Institute, 351(12), 5565–5581. https://doi.org/10.1016/j.jfranklin.2014.09.015
  • Yang, X., Liu, X., & Yin, S. (2019). Robust identification of nonlinear systems with missing observations: the case of state-space model structure. IEEE Transactions on Industrial Informatics, 15(5), 2763–2774. https://doi.org/10.1109/TII.9424
  • Yang, X., & Yang, X. (2017). Local identification of LPV dual-rate system with random measurement delays. IEEE Transactions on Industrial Electronics, 65(2), 1499–1507. https://doi.org/10.1109/TIE.2017.2733465
  • Yang, X., & Yin, S. (2017a). Variational Bayesian inference for FIR models with randomly missing measurements. IEEE Transactions on Industrial Electronics, 64(5), 4217–4225. https://doi.org/10.1109/TIE.2016.2562608
  • Yang, X., & Yin, S. (2017b). Robust global identification and output estimation for LPV dual-rate systems subjected to random output time-delays. IEEE Transactions on Industrial Informatics, 13(6), 2876–2885. https://doi.org/10.1109/TII.2017.2702754
  • Yang, X., Yin, S., & Kaynak, O. (2018). Robust identification of LPV time-delay system with randomly missing measurements. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 48(12), 2198–2208. https://doi.org/10.1109/TSMC.2017.2689920
  • Zhang, H., & Wang, J. (2016). Active steering actuator fault detection for an automatically-steered electric ground vehicle. IEEE Transactions on Vehicular Technology, 66(5), 3685–3702. https://doi.org/10.1109/TVT.2015.2445833
  • Zhao, Y., Huang, B., Su, H., & Chu, J. (2012). Prediction error method for identification of LPV models. Journal of Process Control, 22(1), 180–193. https://doi.org/10.1016/j.jprocont.2011.09.004
  • Zhao, Z., Wang, Y., & Liu, F. (2018). A multi-way LPV modeling method for batch processes. Journal of Process Control, 65, 56–67. https://doi.org/10.1016/j.jprocont.2017.10.007
  • Zhu, Y., Zheng, W. X., & Zhou, D. (2019). Quasi-Synchronization of discrete-time Lur'e-type switched systems with parameter mismatches and relaxed PDT constraints. IEEE Transactions on Cybernetics, 50(5), 2026–2037. https://doi.org/10.1109/TCYB.6221036

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.