Recursive identification for Wiener non-linear systems with non-stationary disturbances
This study investigates the robust recursive identification problem for Wiener non-linear systems with non-stationary disturbance and measurement white Gaussian noise. Non-stationary disturbances cannot be eliminated by conventional statistical strategy. To overcome such problem, the non-stationary...
Uložené v:
| Vydané v: | IET control theory & applications Ročník 13; číslo 16; s. 2648 - 2657 |
|---|---|
| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
The Institution of Engineering and Technology
05.11.2019
|
| Predmet: | |
| ISSN: | 1751-8644, 1751-8652 |
| On-line prístup: | Získať plný text |
| Tagy: |
Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
|
| Abstract | This study investigates the robust recursive identification problem for Wiener non-linear systems with non-stationary disturbance and measurement white Gaussian noise. Non-stationary disturbances cannot be eliminated by conventional statistical strategy. To overcome such problem, the non-stationary disturbance signal is modelled as a dynamic parameter with a small change rate which is to be estimated step. Utilising the forgetting factor (FF) and the auxiliary model strategy, a discrete-time recursive least-squares algorithm is designed by augmenting the parameter vector and the information vector. To facilitate the steady asymptotic convergence of the time-invariant system parameters and the dynamic tracking ability of the disturbance, two adaptive FFs are proposed to construct a new matrix FF scheme that is used to update the covariance matrix. Moreover, several asymptotic convergence conditions are also derived based on the stochastic statistical theory under persistent excitation condition. Finally, one illustrative example with non-stationary disturbance is employed to show the effectiveness and advantages of the proposed algorithms. |
|---|---|
| AbstractList | This study investigates the robust recursive identification problem for Wiener non‐linear systems with non‐stationary disturbance and measurement white Gaussian noise. Non‐stationary disturbances cannot be eliminated by conventional statistical strategy. To overcome such problem, the non‐stationary disturbance signal is modelled as a dynamic parameter with a small change rate which is to be estimated step. Utilising the forgetting factor (FF) and the auxiliary model strategy, a discrete‐time recursive least‐squares algorithm is designed by augmenting the parameter vector and the information vector. To facilitate the steady asymptotic convergence of the time‐invariant system parameters and the dynamic tracking ability of the disturbance, two adaptive FFs are proposed to construct a new matrix FF scheme that is used to update the covariance matrix. Moreover, several asymptotic convergence conditions are also derived based on the stochastic statistical theory under persistent excitation condition. Finally, one illustrative example with non‐stationary disturbance is employed to show the effectiveness and advantages of the proposed algorithms. |
| Author | Yu, Li Dong, Shijian Chen, Bo Zhang, Wen-An |
| Author_xml | – sequence: 1 givenname: Shijian orcidid: 0000-0002-1752-5810 surname: Dong fullname: Dong, Shijian organization: Zhejiang Provincial United Key Laboratory of Embedded Systems, Department of Automation, Zhejiang University of Technology, Hangzhou 310023, People's Republic of China – sequence: 2 givenname: Li surname: Yu fullname: Yu, Li organization: Zhejiang Provincial United Key Laboratory of Embedded Systems, Department of Automation, Zhejiang University of Technology, Hangzhou 310023, People's Republic of China – sequence: 3 givenname: Wen-An surname: Zhang fullname: Zhang, Wen-An organization: Zhejiang Provincial United Key Laboratory of Embedded Systems, Department of Automation, Zhejiang University of Technology, Hangzhou 310023, People's Republic of China – sequence: 4 givenname: Bo surname: Chen fullname: Chen, Bo email: bchen@aliyun.com organization: Zhejiang Provincial United Key Laboratory of Embedded Systems, Department of Automation, Zhejiang University of Technology, Hangzhou 310023, People's Republic of China |
| BookMark | eNqFkM1KAzEQgINUsK0-gLd9ga3JbrLZetNirVAQpNJjyM7OYkqblSS19O3NdsWDh3qaYZhvfr4RGdjWIiG3jE4Y5dM7gyGFoCcZZeWk4Cy_IEMmBUvLQmSD35zzKzLyfkOpEAUXQ7J-Q9g7b74wMTXaYBoDOpjWJk3rkrVBiy6Ju9Ktsahd4o8-4M4nBxM-TnUfTu3aHZPa-LB3lbaA_ppcNnrr8eYnjsn7_Gk1W6TL1-eX2cMyhVxKmdbAEHjGyhI0EyA4A10z3nBayaIsUPBcVBRoPLwpM6RS5DkTvKk0wlRLyMdE9nPBtd47bBSY_qLgtNkqRlXnR0U_KvpRnR_V-Ykk-0N-OrOLf5xl7nvmYLZ4_B9Qs9Uie5x3tmWE0x7u2jbt3tko5syybzjcj74 |
| CitedBy_id | crossref_primary_10_1049_cth2_12170 crossref_primary_10_1007_s13369_021_05681_w crossref_primary_10_1016_j_dsp_2020_102716 crossref_primary_10_1049_cth2_12771 crossref_primary_10_1155_2020_2096302 crossref_primary_10_1016_j_jfranklin_2020_12_034 crossref_primary_10_1002_acs_3203 crossref_primary_10_1002_rnc_6101 crossref_primary_10_1109_TCSII_2025_3538015 |
| Cites_doi | 10.1049/iet-cta.2015.0116 10.1016/S0005-1098(98)00065-X 10.1017/CBO9781139020411 10.1109/9.827371 10.1109/TCSI.2004.842874 10.1021/ie051317g 10.1007/s11071-015-2155-5 10.1007/978-1-84996-513-2 10.1007/s00034-015-0190-6 10.1109/TCSII.2007.901634 10.1016/j.amc.2014.08.096 10.1021/ie950480g 10.1016/S0005-1098(00)00103-5 10.1016/j.cej.2007.05.044 10.1016/j.automatica.2013.01.023 10.1016/j.jprocont.2008.12.007 10.1016/j.jfranklin.2016.02.013 10.1016/j.jprocont.2010.11.008 10.1016/j.isatra.2016.12.002 10.1109/9.867017 10.1007/978-3-642-21981-8 10.1016/j.arcontrol.2009.12.001 10.1049/iet-cta.2016.0941 10.1016/j.jfranklin.2017.05.023 10.1021/acs.iecr.5b01783 10.1109/TCYB.2015.2430356 10.1109/TAC.2012.2215539 10.1016/j.automatica.2008.11.020 10.1049/iet-cta.2017.0650 10.2514/2.4547 10.1109/9.333765 10.1109/TAC.2005.864183 10.1109/TASSP.1986.1164834 10.1021/ie030706c 10.1049/iet-cta.2016.0506 10.1016/j.jprocont.2013.06.014 10.1016/j.automatica.2013.03.021 10.1016/j.jprocont.2016.11.007 10.1016/j.automatica.2010.02.026 10.1016/j.sysconle.2006.08.001 10.1016/j.sigpro.2010.11.004 |
| ContentType | Journal Article |
| Copyright | The Institution of Engineering and Technology 2021 The Authors. IET Control Theory & Applications published by John Wiley & Sons, Ltd. on behalf of The Institution of Engineering and Technology |
| Copyright_xml | – notice: The Institution of Engineering and Technology – notice: 2021 The Authors. IET Control Theory & Applications published by John Wiley & Sons, Ltd. on behalf of The Institution of Engineering and Technology |
| DBID | AAYXX CITATION |
| DOI | 10.1049/iet-cta.2018.6413 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | CrossRef |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Engineering |
| EISSN | 1751-8652 |
| EndPage | 2657 |
| ExternalDocumentID | 10_1049_iet_cta_2018_6413 CTH2BF00557 |
| Genre | article |
| GrantInformation_xml | – fundername: National Natural Science Foundation of China grantid: 61573319 – fundername: NSFC-Zhejiang Joint Fund for the Integration of Industrialization and Informatization grantid: U1709213 – fundername: Zhejiang Provincial Natural Science Foundation of China under Grant grantid: LR16F030005 – fundername: NSFC‐Zhejiang Joint Fund – fundername: National Natural Science Foundation of China funderid: 61573319 – fundername: Integration of Industrialisation and Informatisation funderid: U1709213 – fundername: Zhejiang Provincial Natural Science Foundation of China funderid: LR16F030005 |
| GroupedDBID | 0R 24P 29I 4IJ 5GY 6IK 8VB AAJGR ABPTK ACGFS ACIWK AENEX ALMA_UNASSIGNED_HOLDINGS BFFAM CS3 DU5 ESX HZ IFIPE IPLJI JAVBF LAI LOTEE LXI M43 MS NADUK NXXTH O9- OCL QWB RIE RNS RUI U5U UNMZH UNR ZL0 ZZ .DC 0R~ 0ZK 1OC 3V. 4.4 8FE 8FG 96U AAHHS AAHJG ABJCF ABQXS ABUWG ACCFJ ACCMX ACESK ACXQS ADEYR AEEZP AEGXH AEQDE AFAZI AFKRA AIWBW AJBDE ALUQN ARAPS AVUZU AZQEC BENPR BGLVJ BPHCQ CCPQU DWQXO EBS EJD F8P GNUQQ GOZPB GROUPED_DOAJ GRPMH HCIFZ HZ~ IAO ITC K1G K6V K7- L6V M0N M7S MCNEO MS~ OK1 P62 PQQKQ PROAC PTHSS ROL ~ZZ AAMMB AAYXX AEFGJ AFFHD AGXDD AIDQK AIDYY CITATION IDLOA IGS PHGZM PHGZT PQGLB WIN |
| ID | FETCH-LOGICAL-c3777-dc1ec42188ca15c541cad14f40b7686e5435b0c0644f82e07533154fbaec9a7c3 |
| IEDL.DBID | 24P |
| ISICitedReferencesCount | 13 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000490983900013&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 1751-8644 |
| IngestDate | Tue Nov 18 22:30:23 EST 2025 Wed Oct 29 21:10:23 EDT 2025 Wed Jan 22 16:32:17 EST 2025 Tue Jan 05 21:44:15 EST 2021 |
| IsDoiOpenAccess | false |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 16 |
| Keywords | steady asymptotic convergence Wiener nonlinear systems stochastic statistical theory robust recursive identification problem covariance matrix white noise identification measurement white Gaussian noise Gaussian noise time-invariant system parameters recursive estimation parameter estimation stochastic processes covariance matrices least squares approximations nonstationary disturbance signal discrete time systems dynamic tracking ability filtering theory asymptotic convergence conditions adaptive control discrete-time recursive least-squares algorithm parameter vector nonlinear control systems information vector statistical analysis persistent excitation condition |
| Language | English |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c3777-dc1ec42188ca15c541cad14f40b7686e5435b0c0644f82e07533154fbaec9a7c3 |
| ORCID | 0000-0002-1752-5810 |
| OpenAccessLink | https://ietresearch.onlinelibrary.wiley.com/doi/pdfdirect/10.1049/iet-cta.2018.6413 |
| PageCount | 10 |
| ParticipantIDs | crossref_citationtrail_10_1049_iet_cta_2018_6413 wiley_primary_10_1049_iet_cta_2018_6413_CTH2BF00557 iet_journals_10_1049_iet_cta_2018_6413 crossref_primary_10_1049_iet_cta_2018_6413 |
| ProviderPackageCode | RUI |
| PublicationCentury | 2000 |
| PublicationDate | 2019-11-05 |
| PublicationDateYYYYMMDD | 2019-11-05 |
| PublicationDate_xml | – month: 11 year: 2019 text: 2019-11-05 day: 05 |
| PublicationDecade | 2010 |
| PublicationTitle | IET control theory & applications |
| PublicationYear | 2019 |
| Publisher | The Institution of Engineering and Technology |
| Publisher_xml | – name: The Institution of Engineering and Technology |
| References | Yu, C.; Wang, Q.G.; Zhang, D. (C34) 2016; 46 Silva, M.M.D; Wigren, T.; Mendonça, T. (C11) 2012; 20 Chen, H.F. (C7) 2006; 51 Ljung, L. (C24) 2010; 34 Ding, F.; Chen, T. (C43) 2005; 52 Hu, Y.; Liu, B.; Zhou, Q. (C22) 2014; 247 Mu, B.Q.; Chen, H.F. (C17) 2013; 58 Kazemi, M.; Arefi, M.M. (C18) 2017; 67 Dong, S.; Liu, T.; Wang, Q.G. (C32) 2017; 11 Arefi, M.M.; Montazeri, A.; Poshtan, J. (C10) 2008; 138 Lovera, M.; Gustafsson, T.; Verhaegen, M. (C23) 2000; 36 Wang, X.; Ding, F. (C37) 2015; 82 Gao, X.; Ren, X.; Zhu, C. (C5) 2015; 9 Ding, F.; Liu, X.; Liu, M. (C15) 2016; 353 Bai, E.W.; Reyland, J. (C8) 2009; 45 Song, Q. (C36) 2013; 49 Shen, S.H.; Wu, J.S.; Yu, C.C. (C25) 1996; 35 Forssell, U.; Ljung, L. (C38) 2000; 45 Ding, F.; Wang, X.; Chen, Q. (C20) 2016; 35 Goodzeit, N.E.; Phan, M.Q. (C28) 2000; 23 Laurain, V.; Gilson, M.; Tóth, R. (C39) 2010; 46 Dong, S.; Liu, T.; Wang, Q.G. (C31) 2018; 12 Wigren, T. (C41) 1994; 39 Yu, F.; Mao, Z.; Jia, M. (C3) 2013; 23 Wang, L.Y.; Yin, G.G. (C27) 2000; 45 Bai, E. W.; Cho, H.; Tempo, R. (C35) 1998; 34 Jin, X.; Huang, B.; Shook, D.S. (C9) 2011; 21 Wang, Q.G.; Liu, M.; Hang, C.C. (C30) 2006; 45 Wang, D.; Ding, F. (C21) 2011; 91 Vörös, J. (C6) 2007; 56 Chen, F.; Garnier, H.; Gilson, M. (C2) 2016; 11 Mzyk, G. (C19) 2007; 54 Lindsten, F.; Schön, T.B.; Jordan, M.I. (C16) 2013; 49 Karra, S.; Karim, M.N. (C13) 2009; 19 Yang, X.; Xiong, W.; Ma, J. (C42) 2017; 354 Goodwin, G.; Evans, R.; Leal, R. (C26) 1986; 34 Hwang, S.H.; Ling, H.C.; Shiu, S.J. (C29) 2004; 43 Wu, W.; Chen, H.T. (C12) 2015; 54 Dong, S.; Liu, T.; Wang, W. (C33) 2017; 50 2009; 45 2010; 34 2004; 43 2006; 51 2013; 49 2012 2011 2010 2000; 45 2000; 23 2013; 23 1986; 34 2015; 54 2017; 67 2015; 9 2007; 54 1996; 35 2017; 354 2007; 56 2016; 35 2016; 11 2017; 50 2013; 58 2010; 46 2001 2000; 36 2006; 45 2015; 82 2011; 91 2017; 11 2005; 52 2016; 353 2011; 21 2008; 138 1994; 39 2018; 12 2009; 19 1998; 34 2012; 20 2014; 247 2016; 46 e_1_2_8_28_1 e_1_2_8_29_1 e_1_2_8_24_1 e_1_2_8_25_1 e_1_2_8_26_1 e_1_2_8_27_1 e_1_2_8_3_1 e_1_2_8_2_1 e_1_2_8_5_1 e_1_2_8_4_1 e_1_2_8_7_1 e_1_2_8_6_1 e_1_2_8_9_1 e_1_2_8_8_1 e_1_2_8_20_1 e_1_2_8_43_1 e_1_2_8_21_1 e_1_2_8_42_1 e_1_2_8_22_1 e_1_2_8_23_1 e_1_2_8_44_1 e_1_2_8_41_1 e_1_2_8_40_1 e_1_2_8_17_1 e_1_2_8_18_1 e_1_2_8_39_1 e_1_2_8_19_1 e_1_2_8_13_1 e_1_2_8_36_1 e_1_2_8_14_1 e_1_2_8_35_1 e_1_2_8_38_1 e_1_2_8_16_1 e_1_2_8_37_1 Söderström T. (e_1_2_8_15_1) 2001 e_1_2_8_32_1 e_1_2_8_10_1 e_1_2_8_31_1 e_1_2_8_11_1 e_1_2_8_34_1 Silva M.M.D (e_1_2_8_12_1) 2012; 20 e_1_2_8_33_1 e_1_2_8_30_1 |
| References_xml | – volume: 12 start-page: 942 issue: 7 year: 2018 end-page: 952 ident: C31 article-title: Identification of Hammerstein systems with time delay under load disturbance publication-title: IET Control Theory Appl. – volume: 23 start-page: 1108 issue: 8 year: 2013 end-page: 1115 ident: C3 article-title: Recursive identification for Hammerstein–Wiener systems with dead-zone input nonlinearity publication-title: J. Process Control – volume: 51 start-page: 390 issue: 3 year: 2006 end-page: 400 ident: C7 article-title: Recursive identification for Wiener model with discontinuous piece-wise linear function publication-title: IEEE Trans. Autom. Control – volume: 34 start-page: 479 issue: 3 year: 1986 end-page: 484 ident: C26 article-title: Sinusoidal disturbance rejection with application to helicopter flight data estimation publication-title: IEEE Trans. Acoust. Speech Signal Process. – volume: 353 start-page: 1518 issue: 7 year: 2016 end-page: 1526 ident: C15 article-title: The recursive least squares identification algorithm for a class of Wiener nonlinear systems publication-title: J. Franklin Inst. – volume: 45 start-page: 137 issue: 1 year: 2000 end-page: 141 ident: C38 article-title: Identification of unstable systems using output error and Box–Jenkins model structures publication-title: IEEE Trans. Autom. Control – volume: 11 start-page: 291 issue: 2 year: 2016 end-page: 300 ident: C2 article-title: Refined instrumental variable parameter estimation of continuous-time Box–Jenkins models from irregularly sampled data publication-title: IET Control Theory Appl. – volume: 19 start-page: 964 year: 2009 end-page: 977 ident: C13 article-title: Alternative model structure with simplistic noise model to identify linear time invariant systems subjected to non-stationary disturbances publication-title: J. Process Control – volume: 58 start-page: 802 issue: 3 year: 2013 end-page: 808 ident: C17 article-title: Recursive identification of MIMO Wiener systems publication-title: IEEE Trans. Autom. Control – volume: 138 start-page: 274 issue: 1–3 year: 2008 end-page: 282 ident: C10 article-title: Wiener-neural identification and predictive control of a more realistic plug-flow tubular reactor publication-title: Chem. Eng. J. – volume: 91 start-page: 1182 issue: 5 year: 2011 end-page: 1189 ident: C21 article-title: Least squares based and gradient based iterative identification for Wiener nonlinear systems publication-title: Signal Process. – volume: 43 start-page: 6125 issue: 19 year: 2004 end-page: 6135 ident: C29 article-title: Robust identification of continuous parametric models based on multiple sinusoidal testing under slow or periodic disturbances publication-title: Ind. Eng. Chem. Res. – volume: 36 start-page: 1639 issue: 11 year: 2000 end-page: 1650 ident: C23 article-title: Recursive subspace identification of linear and non-linear Wiener state-space models publication-title: Automatica – volume: 45 start-page: 1246 issue: 7 year: 2000 end-page: 1256 ident: C27 article-title: Persistent identification of systems with unmodeled dynamics and exogenous disturbances publication-title: IEEE Trans. Autom. Control – volume: 50 start-page: 40 year: 2017 end-page: 55 ident: C33 article-title: Identification of discrete-time output error model for industrial processes with time delay subject to load disturbance publication-title: J. Process Control – volume: 45 start-page: 4063 issue: 12 year: 2006 end-page: 4070 ident: C30 article-title: Robust process identification from relay tests in the presence of non-zero initial conditions and disturbance publication-title: Ind. Eng. Chem. Res. – volume: 52 start-page: 555 issue: 3 year: 2005 end-page: 566 ident: C43 article-title: Performance bounds of forgetting factor least-squares algorithms for time-varying systems with finite measurement data publication-title: IEEE Trans. Circuits Syst. – volume: 56 start-page: 99 issue: 2 year: 2007 end-page: 105 ident: C6 article-title: Parameter identification of Wiener systems with multi segment piecewise-linear nonlinearities publication-title: Syst. Control Lett. – volume: 67 start-page: 382 year: 2017 end-page: 388 ident: C18 article-title: A fast iterative recursive least squares algorithm for Wiener model identification of highly nonlinear systems publication-title: ISA Trans. – volume: 46 start-page: 1202 issue: 5 year: 2016 end-page: 1216 ident: C34 article-title: System identification in presence of outliers publication-title: IEEE Trans. Cybern. – volume: 45 start-page: 956 issue: 4 year: 2009 end-page: 964 ident: C8 article-title: Towards identification of Wiener systems with the least amount of a priori information: IIR cases publication-title: Automatica – volume: 20 start-page: 181 issue: 1 year: 2012 end-page: 188 ident: C11 article-title: Nonlinear identification of a minimal neuromuscular blockade model in anesthesia publication-title: IEEE Trans. Control Syst. Technol. – volume: 23 start-page: 251 issue: 2 year: 2000 end-page: 259 ident: C28 article-title: System identification in the presence of completely unknown periodic disturbances publication-title: J. Guid. Control Dyn. – volume: 35 start-page: 3323 issue: 9 year: 2016 end-page: 3338 ident: C20 article-title: Recursive least squares parameter estimation for a class of output nonlinear systems based on the model decomposition publication-title: Circuits Syst. Signal Process. – volume: 34 start-page: 1245 issue: 10 year: 1998 end-page: 1249 ident: C35 article-title: Convergence properties of the membership set publication-title: Automatica – volume: 9 start-page: 1935 issue: 13 year: 2015 end-page: 1947 ident: C5 article-title: Identification and control for Hammerstein systems with hysteresis non-linearity publication-title: IET Control Theory Appl. – volume: 35 start-page: 1642 issue: 5 year: 1996 end-page: 1651 ident: C25 article-title: Autotune identification under load disturbance publication-title: Ind. Eng. Chem. Res. – volume: 54 start-page: 7141 issue: 28 year: 2015 end-page: 7147 ident: C12 article-title: Identification and control of a fuel cell system in the presence of time-varying disturbances publication-title: Ind. Eng. Chem. Res. – volume: 39 start-page: 2191 issue: 11 year: 1994 end-page: 2206 ident: C41 article-title: Convergence analysis of recursive identification algorithms based on the nonlinear Wiener model publication-title: IEEE Trans. Autom. Control – volume: 247 start-page: 218 year: 2014 end-page: 224 ident: C22 article-title: A multi-innovation generalized extended stochastic gradient algorithm for output nonlinear autoregressive moving average systems publication-title: Appl. Math. Comput. – volume: 11 start-page: 1404 issue: 9 year: 2017 end-page: 1413 ident: C32 article-title: Identification of dual-rate sampled systems with time delay subject to load disturbance publication-title: IET Control Theory Appl. – volume: 82 start-page: 269 issue: 1–2 year: 2015 end-page: 280 ident: C37 article-title: Convergence of the auxiliary model-based multi-innovation generalized extended stochastic gradient algorithm for Box–Jenkins systems publication-title: Nonlinear Dyn. – volume: 354 start-page: 5678 issue: 13 year: 2017 end-page: 5693 ident: C42 article-title: Robust identification of Wiener time-delay system with expectation-maximization algorithm publication-title: J. Franklin Inst. – volume: 49 start-page: 2053 issue: 7 year: 2013 end-page: 2063 ident: C16 article-title: Bayesian semiparametric Wiener system identification publication-title: Automatica – volume: 21 start-page: 182 issue: 1 year: 2011 end-page: 193 ident: C9 article-title: Multiple model LPV approach to nonlinear process identification with EM algorithm publication-title: J. Process Control – volume: 46 start-page: 959 issue: 6 year: 2010 end-page: 967 ident: C39 article-title: Refined instrumental variable methods for identification of LPV Box–Jenkins models publication-title: Automatica – volume: 49 start-page: 987 issue: 4 year: 2013 end-page: 992 ident: C36 article-title: Identification of errors-in-variables systems with nonlinear output observations publication-title: Automatica – volume: 54 start-page: 897 issue: 10 year: 2007 end-page: 901 ident: C19 article-title: A censored sample mean approach to non-parametric identification of nonlinearities in Wiener systems publication-title: IEEE Trans. Circuits Syst. II, Express Briefs – volume: 34 start-page: 1 issue: 1 year: 2010 end-page: 12 ident: C24 article-title: Perspectives on system identification publication-title: Annu. Rev. Control – year: 2011 – volume: 11 start-page: 291 issue: 2 year: 2016 end-page: 300 article-title: Refined instrumental variable parameter estimation of continuous‐time Box–Jenkins models from irregularly sampled data publication-title: IET Control Theory Appl. – volume: 35 start-page: 1642 issue: 5 year: 1996 end-page: 1651 article-title: Autotune identification under load disturbance publication-title: Ind. Eng. Chem. Res. – volume: 20 start-page: 181 issue: 1 year: 2012 end-page: 188 article-title: Nonlinear identification of a minimal neuromuscular blockade model in anesthesia publication-title: IEEE Trans. Control Syst. Technol. – volume: 52 start-page: 555 issue: 3 year: 2005 end-page: 566 article-title: Performance bounds of forgetting factor least‐squares algorithms for time‐varying systems with finite measurement data publication-title: IEEE Trans. Circuits Syst. – volume: 138 start-page: 274 issue: 1–3 year: 2008 end-page: 282 article-title: Wiener‐neural identification and predictive control of a more realistic plug‐flow tubular reactor publication-title: Chem. Eng. J. – volume: 12 start-page: 942 issue: 7 year: 2018 end-page: 952 article-title: Identification of Hammerstein systems with time delay under load disturbance publication-title: IET Control Theory Appl. – year: 2001 – volume: 67 start-page: 382 year: 2017 end-page: 388 article-title: A fast iterative recursive least squares algorithm for Wiener model identification of highly nonlinear systems publication-title: ISA Trans. – volume: 354 start-page: 5678 issue: 13 year: 2017 end-page: 5693 article-title: Robust identification of Wiener time‐delay system with expectation‐maximization algorithm publication-title: J. Franklin Inst. – volume: 19 start-page: 964 year: 2009 end-page: 977 article-title: Alternative model structure with simplistic noise model to identify linear time invariant systems subjected to non‐stationary disturbances publication-title: J. Process Control – volume: 45 start-page: 4063 issue: 12 year: 2006 end-page: 4070 article-title: Robust process identification from relay tests in the presence of non‐zero initial conditions and disturbance publication-title: Ind. Eng. Chem. Res. – volume: 82 start-page: 269 issue: 1–2 year: 2015 end-page: 280 article-title: Convergence of the auxiliary model‐based multi‐innovation generalized extended stochastic gradient algorithm for Box–Jenkins systems publication-title: Nonlinear Dyn. – volume: 36 start-page: 1639 issue: 11 year: 2000 end-page: 1650 article-title: Recursive subspace identification of linear and non‐linear Wiener state‐space models publication-title: Automatica – volume: 11 start-page: 1404 issue: 9 year: 2017 end-page: 1413 article-title: Identification of dual‐rate sampled systems with time delay subject to load disturbance publication-title: IET Control Theory Appl. – volume: 45 start-page: 956 issue: 4 year: 2009 end-page: 964 article-title: Towards identification of Wiener systems with the least amount of a priori information: IIR cases publication-title: Automatica – volume: 46 start-page: 959 issue: 6 year: 2010 end-page: 967 article-title: Refined instrumental variable methods for identification of LPV Box–Jenkins models publication-title: Automatica – volume: 54 start-page: 897 issue: 10 year: 2007 end-page: 901 article-title: A censored sample mean approach to non‐parametric identification of nonlinearities in Wiener systems publication-title: IEEE Trans. Circuits Syst. II, Express Briefs – volume: 56 start-page: 99 issue: 2 year: 2007 end-page: 105 article-title: Parameter identification of Wiener systems with multi segment piecewise‐linear nonlinearities publication-title: Syst. Control Lett. – volume: 34 start-page: 1245 issue: 10 year: 1998 end-page: 1249 article-title: Convergence properties of the membership set publication-title: Automatica – volume: 21 start-page: 182 issue: 1 year: 2011 end-page: 193 article-title: Multiple model LPV approach to nonlinear process identification with EM algorithm publication-title: J. Process Control – year: 2010 – volume: 49 start-page: 2053 issue: 7 year: 2013 end-page: 2063 article-title: Bayesian semiparametric Wiener system identification publication-title: Automatica – volume: 45 start-page: 137 issue: 1 year: 2000 end-page: 141 article-title: Identification of unstable systems using output error and Box–Jenkins model structures publication-title: IEEE Trans. Autom. Control – year: 2012 – volume: 34 start-page: 1 issue: 1 year: 2010 end-page: 12 article-title: Perspectives on system identification publication-title: Annu. Rev. Control – volume: 54 start-page: 7141 issue: 28 year: 2015 end-page: 7147 article-title: Identification and control of a fuel cell system in the presence of time‐varying disturbances publication-title: Ind. Eng. Chem. Res. – volume: 23 start-page: 1108 issue: 8 year: 2013 end-page: 1115 article-title: Recursive identification for Hammerstein–Wiener systems with dead‐zone input nonlinearity publication-title: J. Process Control – volume: 50 start-page: 40 year: 2017 end-page: 55 article-title: Identification of discrete‐time output error model for industrial processes with time delay subject to load disturbance publication-title: J. Process Control – volume: 91 start-page: 1182 issue: 5 year: 2011 end-page: 1189 article-title: Least squares based and gradient based iterative identification for Wiener nonlinear systems publication-title: Signal Process. – volume: 34 start-page: 479 issue: 3 year: 1986 end-page: 484 article-title: Sinusoidal disturbance rejection with application to helicopter flight data estimation publication-title: IEEE Trans. Acoust. Speech Signal Process. – volume: 9 start-page: 1935 issue: 13 year: 2015 end-page: 1947 article-title: Identification and control for Hammerstein systems with hysteresis non‐linearity publication-title: IET Control Theory Appl. – volume: 35 start-page: 3323 issue: 9 year: 2016 end-page: 3338 article-title: Recursive least squares parameter estimation for a class of output nonlinear systems based on the model decomposition publication-title: Circuits Syst. Signal Process. – volume: 23 start-page: 251 issue: 2 year: 2000 end-page: 259 article-title: System identification in the presence of completely unknown periodic disturbances publication-title: J. Guid. Control Dyn. – volume: 39 start-page: 2191 issue: 11 year: 1994 end-page: 2206 article-title: Convergence analysis of recursive identification algorithms based on the nonlinear Wiener model publication-title: IEEE Trans. Autom. Control – volume: 353 start-page: 1518 issue: 7 year: 2016 end-page: 1526 article-title: The recursive least squares identification algorithm for a class of Wiener nonlinear systems publication-title: J. Franklin Inst. – volume: 49 start-page: 987 issue: 4 year: 2013 end-page: 992 article-title: Identification of errors‐in‐variables systems with nonlinear output observations publication-title: Automatica – volume: 51 start-page: 390 issue: 3 year: 2006 end-page: 400 article-title: Recursive identification for Wiener model with discontinuous piece‐wise linear function publication-title: IEEE Trans. Autom. Control – volume: 45 start-page: 1246 issue: 7 year: 2000 end-page: 1256 article-title: Persistent identification of systems with unmodeled dynamics and exogenous disturbances publication-title: IEEE Trans. Autom. Control – volume: 46 start-page: 1202 issue: 5 year: 2016 end-page: 1216 article-title: System identification in presence of outliers publication-title: IEEE Trans. Cybern. – volume: 58 start-page: 802 issue: 3 year: 2013 end-page: 808 article-title: Recursive identification of MIMO Wiener systems publication-title: IEEE Trans. Autom. Control – volume: 43 start-page: 6125 issue: 19 year: 2004 end-page: 6135 article-title: Robust identification of continuous parametric models based on multiple sinusoidal testing under slow or periodic disturbances publication-title: Ind. Eng. Chem. Res. – volume: 247 start-page: 218 year: 2014 end-page: 224 article-title: A multi‐innovation generalized extended stochastic gradient algorithm for output nonlinear autoregressive moving average systems publication-title: Appl. Math. Comput. – ident: e_1_2_8_6_1 doi: 10.1049/iet-cta.2015.0116 – ident: e_1_2_8_36_1 doi: 10.1016/S0005-1098(98)00065-X – ident: e_1_2_8_41_1 doi: 10.1017/CBO9781139020411 – ident: e_1_2_8_39_1 doi: 10.1109/9.827371 – ident: e_1_2_8_44_1 doi: 10.1109/TCSI.2004.842874 – ident: e_1_2_8_31_1 doi: 10.1021/ie051317g – ident: e_1_2_8_38_1 doi: 10.1007/s11071-015-2155-5 – ident: e_1_2_8_5_1 doi: 10.1007/978-1-84996-513-2 – ident: e_1_2_8_21_1 doi: 10.1007/s00034-015-0190-6 – ident: e_1_2_8_20_1 doi: 10.1109/TCSII.2007.901634 – ident: e_1_2_8_23_1 doi: 10.1016/j.amc.2014.08.096 – ident: e_1_2_8_26_1 doi: 10.1021/ie950480g – ident: e_1_2_8_24_1 doi: 10.1016/S0005-1098(00)00103-5 – ident: e_1_2_8_11_1 doi: 10.1016/j.cej.2007.05.044 – ident: e_1_2_8_37_1 doi: 10.1016/j.automatica.2013.01.023 – ident: e_1_2_8_14_1 doi: 10.1016/j.jprocont.2008.12.007 – ident: e_1_2_8_16_1 doi: 10.1016/j.jfranklin.2016.02.013 – volume-title: System identification year: 2001 ident: e_1_2_8_15_1 – ident: e_1_2_8_10_1 doi: 10.1016/j.jprocont.2010.11.008 – ident: e_1_2_8_19_1 doi: 10.1016/j.isatra.2016.12.002 – ident: e_1_2_8_28_1 doi: 10.1109/9.867017 – ident: e_1_2_8_2_1 doi: 10.1007/978-3-642-21981-8 – ident: e_1_2_8_25_1 doi: 10.1016/j.arcontrol.2009.12.001 – ident: e_1_2_8_33_1 doi: 10.1049/iet-cta.2016.0941 – ident: e_1_2_8_43_1 doi: 10.1016/j.jfranklin.2017.05.023 – ident: e_1_2_8_13_1 doi: 10.1021/acs.iecr.5b01783 – ident: e_1_2_8_35_1 doi: 10.1109/TCYB.2015.2430356 – ident: e_1_2_8_18_1 doi: 10.1109/TAC.2012.2215539 – ident: e_1_2_8_9_1 doi: 10.1016/j.automatica.2008.11.020 – ident: e_1_2_8_32_1 doi: 10.1049/iet-cta.2017.0650 – ident: e_1_2_8_29_1 doi: 10.2514/2.4547 – ident: e_1_2_8_42_1 doi: 10.1109/9.333765 – volume: 20 start-page: 181 issue: 1 year: 2012 ident: e_1_2_8_12_1 article-title: Nonlinear identification of a minimal neuromuscular blockade model in anesthesia publication-title: IEEE Trans. Control Syst. Technol. – ident: e_1_2_8_8_1 doi: 10.1109/TAC.2005.864183 – ident: e_1_2_8_27_1 doi: 10.1109/TASSP.1986.1164834 – ident: e_1_2_8_30_1 doi: 10.1021/ie030706c – ident: e_1_2_8_3_1 doi: 10.1049/iet-cta.2016.0506 – ident: e_1_2_8_4_1 doi: 10.1016/j.jprocont.2013.06.014 – ident: e_1_2_8_17_1 doi: 10.1016/j.automatica.2013.03.021 – ident: e_1_2_8_34_1 doi: 10.1016/j.jprocont.2016.11.007 – ident: e_1_2_8_40_1 doi: 10.1016/j.automatica.2010.02.026 – ident: e_1_2_8_7_1 doi: 10.1016/j.sysconle.2006.08.001 – ident: e_1_2_8_22_1 doi: 10.1016/j.sigpro.2010.11.004 |
| SSID | ssj0055645 |
| Score | 2.3422537 |
| Snippet | This study investigates the robust recursive identification problem for Wiener non-linear systems with non-stationary disturbance and measurement white... This study investigates the robust recursive identification problem for Wiener non‐linear systems with non‐stationary disturbance and measurement white... |
| SourceID | crossref wiley iet |
| SourceType | Enrichment Source Index Database Publisher |
| StartPage | 2648 |
| SubjectTerms | adaptive control asymptotic convergence conditions covariance matrices covariance matrix discrete time systems discrete‐time recursive least‐squares algorithm dynamic tracking ability filtering theory Gaussian noise identification information vector least squares approximations measurement white Gaussian noise nonlinear control systems nonstationary disturbance signal parameter estimation parameter vector persistent excitation condition recursive estimation Research Article robust recursive identification problem statistical analysis steady asymptotic convergence stochastic processes stochastic statistical theory time‐invariant system parameters white noise Wiener nonlinear systems |
| Title | Recursive identification for Wiener non-linear systems with non-stationary disturbances |
| URI | http://digital-library.theiet.org/content/journals/10.1049/iet-cta.2018.6413 https://onlinelibrary.wiley.com/doi/abs/10.1049%2Fiet-cta.2018.6413 |
| Volume | 13 |
| WOSCitedRecordID | wos000490983900013&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVWIB databaseName: Wiley Online Library Free Content customDbUrl: eissn: 1751-8652 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0055645 issn: 1751-8644 databaseCode: WIN dateStart: 20130101 isFulltext: true titleUrlDefault: https://onlinelibrary.wiley.com providerName: Wiley-Blackwell – providerCode: PRVWIB databaseName: Wiley Online Library Open Access customDbUrl: eissn: 1751-8652 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0055645 issn: 1751-8644 databaseCode: 24P dateStart: 20130101 isFulltext: true titleUrlDefault: https://authorservices.wiley.com/open-science/open-access/browse-journals.html providerName: Wiley-Blackwell |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LS8NAEF5q9aAH32J9sQfxIKxmk02yOWqx1EspUmnBQ8huNlCQKknq2Z_gb_SXOLNJi0WoIF5y2FeWmdmdb1_fEHIuwSsEjlEszcKQ4YqBqVRFYMthyCOTCZiXbbCJsNeTo1HUb5D27C1MxQ8x33DDkWHnaxzgiaqikACoBSWOTcl0idRBXF4FAiPXrnLuSYzf4Ir-bDr2kS7Fvor0OZPg_edHm9H1jyYWnNMKZC9CVutzOlv_0tttsllDTnpT2cgOaZjJLtn4RkS4R54ecNsdb7LTcVrfH7Iqo4Bp6XCM3NR08jL5fP_AriQ5rRigC4r7uHVOUZ3qQx9pCsYzzRVaVLFPHjt3g3aX1WEXmEYNsVRzowW4fqkT7mtfcJ2kXGTCUbA2CYwPCEs5GrCMyKRrAHN4HgCxTCVGR0movQPShP-aQ0IDnaWBcIThWggnUTLVys0ikUC5UBrdIs5M3rGuOckxNMZzbM_GRRSD3GKQW4xyi1FuLXI5r_JaEXIsK3yBafWwLJYV9Kz2fm8ybg-67m3Hcpcd_anWMVmH9Mg-aPRPSLPMp-aUrOm3clzkZ9Z44Tu8730BokL2HA |
| linkProvider | Wiley-Blackwell |
| linkToHtml | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1bS8MwFA5zCuqDd3Fe8yA-CNV2TW-POh0bziIymeBDaS6FgkxpO5_9Cf5Gf4nnpN1wCBPE1-YkDScnOV9Oku8QcuyDV3BNxQ2ZeJ6BOwaDSx6ALXueFaiEwbqsk014Yeg_PgZ3NXI1fgtT8kNMAm44M_R6jRMcA9LlhpMhSWaqCkMUyB1k-Wcuw9S18wwAByZwGHTD8XrsIF-KfhbpWIYP7n9ythmc_2hiyjvNQfE0ZtVOp736P91dIysV6KQXpZWsk5oabpDlb1SEm-TpHgPveJedprK6QaQHjQKqpYMU2anp8GX4-f6BfYkzWnJA5xQjuVVJXp7rQyepBPMZZRxtKt8iD-3rfqtjVIkXDIFjZEhhKcHA-fsithzhMEvE0mIJMznsTlzlAMbipgA0wxK_qQB12DZAsYTHSgSxJ-xtUof_qh1CXZFIl5lMWYIxM-a-FLyZBCwGOc9XokHMscIjUbGSY3KM50ifjrMgAr1FoLcI9Rah3hrkdFLltaTkmCV8gt-qiZnPErT18P3eZNTqd5qXbc1etvunWkdksdO_7UW9bnizR5ZAJtDPG519Ui-ykTogC-KtSPPsUFvyFxKM-WU |
| linkToPdf | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV1LS8NAEF5qFdGDb7E-9yAehGjSbF5HbQ0VpRSpWPAQso9AQGpJUs_-BH-jv8SZTVosQgXxujv7YHZ259vXN4Sc-uAVXFNxQyaeZ-COweCSB2DLnmcFKmGwLutgE1636w8GQa9G2pO_MCU_xPTADWeGXq9xgquRTMoNJ0OSzFQVhiiQO8jyL1yGoWsXmQMtIL8z603WYwf5UvS3SMcyfHD_07vN4PJHFTPeaQGyZzGrdjrh-v90d4OsVaCTXpVWsklqarhFVr9REW6T5wc8eMe37DSV1QsiPWgUUC19SpGdmg5fh5_vH9iXOKMlB3RO8SS3ysnLe33oJJVgPuOMo03lO-QxvOm3OkYVeMEQOEaGFJYSDJy_L2LLEQ6zRCwtljCTw-7EVQ5gLG4KQDMs8ZsKUIdtAxRLeKxEEHvC3iV1aFftEeqKRLrMZMoSjJkx96XgzSRgMch5vhINYk4UHomKlRyDY7xE-nacBRHoLQK9Rai3CPXWIOfTIqOSkmOe8BmmVRMznydo6-H7vcqo1e80r0PNXrb_p1InZLnXDqP72-7dAVkBkUD_bnQOSb3IxuqILIm3Is2zY23IXy0Q-Hw |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Recursive+identification+for+Wiener+non%E2%80%90linear+systems+with+non%E2%80%90stationary+disturbances&rft.jtitle=IET+control+theory+%26+applications&rft.au=Dong%2C+Shijian&rft.au=Yu%2C+Li&rft.au=Zhang%2C+Wen%E2%80%90An&rft.au=Chen%2C+Bo&rft.date=2019-11-05&rft.pub=The+Institution+of+Engineering+and+Technology&rft.issn=1751-8644&rft.eissn=1751-8652&rft.volume=13&rft.issue=16&rft.spage=2648&rft.epage=2657&rft_id=info:doi/10.1049%2Fiet-cta.2018.6413&rft.externalDBID=10.1049%252Fiet-cta.2018.6413&rft.externalDocID=CTH2BF00557 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1751-8644&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1751-8644&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1751-8644&client=summon |