A novel recursive T-S fuzzy semantic modeling approach for discrete state-space systems
•Fuzzy correntropy is constructed.•A novel kernel fuzzy C-regression model clustering based on fuzzy correntropy is proposed.•Modified extended forgetting factor recursive least squares estimator is presented.•The proposed algorithm is applied for maneuvering target tracking. In this paper, we propo...
Saved in:
| Published in: | Neurocomputing (Amsterdam) Vol. 340; pp. 222 - 232 |
|---|---|
| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier B.V
07.05.2019
|
| Subjects: | |
| ISSN: | 0925-2312, 1872-8286 |
| Online Access: | Get full text |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Abstract | •Fuzzy correntropy is constructed.•A novel kernel fuzzy C-regression model clustering based on fuzzy correntropy is proposed.•Modified extended forgetting factor recursive least squares estimator is presented.•The proposed algorithm is applied for maneuvering target tracking.
In this paper, we propose a novel recursive Takagi-Sugeno (T-S) fuzzy semantic modeling approach for discrete state-space system. According to the information learning theoretic (ILT), the correntropy can capture the higher moments of the error probability distribution to deal with non-Gaussian noise. Considering the advantages of fuzzy theory and correntropy, fuzzy correntropy is constructed and a novel kernel fuzzy C-regression model clustering based on fuzzy correntropy is proposed to solve the premise parameter identification problem of the T-S fuzzy model. To the identification of the consequent part parameters of the T-S fuzzy model, a modified extended forgetting factor recursive least squares (MEFRLS) estimator is presented. Moreover, to evaluate the performance of the proposed fuzzy model, the proposed T-S fuzzy model is applied to solve the problem of maneuvering target tracking by incorporating the target feature semantic information. Finally, the experiment results show the proposed algorithm can effectively track a maneuvering target, and its performance is better than the exist algorithms, such as interacting multiple model Kalman filter (IMMKF), interacting multiple model unscented Kalman filter (IMMUKF), the interacting multiple model particle filter (IMMPF) and interacting multiple model Rao-Blackwellized particle filter the (IMMRBPF). |
|---|---|
| AbstractList | •Fuzzy correntropy is constructed.•A novel kernel fuzzy C-regression model clustering based on fuzzy correntropy is proposed.•Modified extended forgetting factor recursive least squares estimator is presented.•The proposed algorithm is applied for maneuvering target tracking.
In this paper, we propose a novel recursive Takagi-Sugeno (T-S) fuzzy semantic modeling approach for discrete state-space system. According to the information learning theoretic (ILT), the correntropy can capture the higher moments of the error probability distribution to deal with non-Gaussian noise. Considering the advantages of fuzzy theory and correntropy, fuzzy correntropy is constructed and a novel kernel fuzzy C-regression model clustering based on fuzzy correntropy is proposed to solve the premise parameter identification problem of the T-S fuzzy model. To the identification of the consequent part parameters of the T-S fuzzy model, a modified extended forgetting factor recursive least squares (MEFRLS) estimator is presented. Moreover, to evaluate the performance of the proposed fuzzy model, the proposed T-S fuzzy model is applied to solve the problem of maneuvering target tracking by incorporating the target feature semantic information. Finally, the experiment results show the proposed algorithm can effectively track a maneuvering target, and its performance is better than the exist algorithms, such as interacting multiple model Kalman filter (IMMKF), interacting multiple model unscented Kalman filter (IMMUKF), the interacting multiple model particle filter (IMMPF) and interacting multiple model Rao-Blackwellized particle filter the (IMMRBPF). |
| Author | Wang, Xiao-Li Xie, Wei-Xin Liu, Zong-Xiang Li, Liang-Qun |
| Author_xml | – sequence: 1 givenname: Liang-Qun surname: Li fullname: Li, Liang-Qun email: lqli@szu.edu.cn organization: aATR Key Laboratory, Shenzhen University, Shenzhen 518060, PR China – sequence: 2 givenname: Xiao-Li surname: Wang fullname: Wang, Xiao-Li organization: aATR Key Laboratory, Shenzhen University, Shenzhen 518060, PR China – sequence: 3 givenname: Wei-Xin surname: Xie fullname: Xie, Wei-Xin organization: aATR Key Laboratory, Shenzhen University, Shenzhen 518060, PR China – sequence: 4 givenname: Zong-Xiang surname: Liu fullname: Liu, Zong-Xiang organization: aATR Key Laboratory, Shenzhen University, Shenzhen 518060, PR China |
| BookMark | eNqFkMtKAzEYhYNUsK2-gYu8wIx_Mte4EErxBoILKy5DmvmjKTPJkEwL7dM7pa5c6OqczXfgfDMycd4hIdcMUgasvNmkDrfadykHJlLgKRT8jExZXfGk5nU5IVMQvEh4xvgFmcW4AWAV42JKPhbU-R22NKDehmh3SFfJGzXbw2FPI3bKDVbTzjfYWvdJVd8Hr_QXNT7QxkYdcEAaBzVgEnulx76PA3bxkpwb1Ua8-sk5eX-4Xy2fkpfXx-fl4iXRGZRDotd6hPJcm0oUJgNTohF5oTIuKjBCAG-K3GSm4lAiR72u1oqZuq4AoClzzOYkP-3q4GMMaGQfbKfCXjKQRzlyI09y5FGOBC5HOSN2-wvTdjxhvRuCsu1_8N0JxvHYzmKQUVt0Ghs7Whxk4-3fA9-DiIa_ |
| CitedBy_id | crossref_primary_10_1016_j_neucom_2020_08_067 crossref_primary_10_3390_e21090912 crossref_primary_10_1007_s10700_022_09393_0 crossref_primary_10_1109_TGRS_2023_3289960 crossref_primary_10_1016_j_energy_2023_130188 crossref_primary_10_3390_app11010062 crossref_primary_10_1016_j_asoc_2025_113297 crossref_primary_10_3233_KES_221614 crossref_primary_10_1007_s40815_020_00956_0 crossref_primary_10_1186_s13634_020_00706_2 crossref_primary_10_3390_s19092208 crossref_primary_10_1007_s40815_020_01021_6 crossref_primary_10_1016_j_dsp_2020_102944 crossref_primary_10_1016_j_asoc_2022_109692 crossref_primary_10_1109_ACCESS_2020_2973722 crossref_primary_10_1016_j_energy_2021_121231 crossref_primary_10_1007_s13369_021_06139_9 |
| Cites_doi | 10.1109/TSMCB.2010.2064767 10.1049/iet-cps.2017.0016 10.1109/TFUZZ.1993.390281 10.1016/0020-0255(75)90036-5 10.1049/iet-rpg.2016.1036 10.1109/TAES.2005.1561886 10.1109/TSP.2016.2539127 10.1109/TSMC.1985.6313399 10.1049/iet-cta:20060415 10.1109/TFUZZ.2017.2654504 10.1109/TFUZZ.2016.2646750 10.1142/S0218488502001533 10.1016/j.cviu.2012.07.002 10.1152/ajpheart.2000.278.6.H2039 10.1109/TNSRE.2007.897025 10.1109/91.618271 10.1109/7.745684 10.14429/dsj.59.1512 10.1109/TFUZZ.2016.2598850 10.1016/j.fss.2009.10.021 10.1016/j.sigpro.2015.09.007 10.1109/TFUZZ.2017.2666789 10.1109/TSP.2007.896065 10.1109/TII.2018.2812771 10.1109/TIE.2013.2253064 10.1109/TSMC.1973.5408575 10.1109/TFUZZ.2004.832521 10.1016/j.automatica.2016.10.004 |
| ContentType | Journal Article |
| Copyright | 2019 Elsevier Ltd |
| Copyright_xml | – notice: 2019 Elsevier Ltd |
| DBID | AAYXX CITATION |
| DOI | 10.1016/j.neucom.2019.02.052 |
| DatabaseName | CrossRef |
| DatabaseTitle | CrossRef |
| DatabaseTitleList | |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Computer Science |
| EISSN | 1872-8286 |
| EndPage | 232 |
| ExternalDocumentID | 10_1016_j_neucom_2019_02_052 S0925231219302760 |
| GroupedDBID | --- --K --M .DC .~1 0R~ 123 1B1 1~. 1~5 4.4 457 4G. 53G 5VS 7-5 71M 8P~ 9JM 9JN AABNK AACTN AADPK AAEDT AAEDW AAIAV AAIKJ AAKOC AALRI AAOAW AAQFI AAXLA AAXUO AAYFN ABBOA ABCQJ ABFNM ABJNI ABMAC ABYKQ ACDAQ ACGFS ACRLP ACZNC ADBBV ADEZE AEBSH AEKER AENEX AFKWA AFTJW AFXIZ AGHFR AGUBO AGWIK AGYEJ AHHHB AHZHX AIALX AIEXJ AIKHN AITUG AJOXV ALMA_UNASSIGNED_HOLDINGS AMFUW AMRAJ AOUOD AXJTR BKOJK BLXMC CS3 DU5 EBS EFJIC EFLBG EJD EO8 EO9 EP2 EP3 F5P FDB FIRID FNPLU FYGXN G-Q GBLVA GBOLZ IHE J1W KOM LG9 M41 MO0 MOBAO N9A O-L O9- OAUVE OZT P-8 P-9 P2P PC. Q38 RIG ROL RPZ SDF SDG SDP SES SPC SPCBC SSN SSV SSZ T5K ZMT ~G- 29N 9DU AAQXK AATTM AAXKI AAYWO AAYXX ABWVN ABXDB ACLOT ACNNM ACRPL ACVFH ADCNI ADJOM ADMUD ADNMO AEIPS AEUPX AFJKZ AFPUW AGQPQ AIGII AIIUN AKBMS AKRWK AKYEP ANKPU APXCP ASPBG AVWKF AZFZN CITATION EFKBS FEDTE FGOYB HLZ HVGLF HZ~ R2- SBC SEW WUQ XPP ~HD |
| ID | FETCH-LOGICAL-c306t-cbcace44cf795f30f6ef945a32970f9902d54f3f7206e2ecb7ba1f887000d64e3 |
| ISICitedReferencesCount | 19 |
| ISICitedReferencesURI | http://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=Summon&SrcAuth=ProQuest&DestLinkType=CitingArticles&DestApp=WOS_CPL&KeyUT=000461360000019&url=https%3A%2F%2Fcvtisr.summon.serialssolutions.com%2F%23%21%2Fsearch%3Fho%3Df%26include.ft.matches%3Dt%26l%3Dnull%26q%3D |
| ISSN | 0925-2312 |
| IngestDate | Tue Nov 18 21:08:38 EST 2025 Sat Nov 29 03:03:01 EST 2025 Fri Feb 23 02:27:03 EST 2024 |
| IsPeerReviewed | true |
| IsScholarly | true |
| Keywords | Fuzzy correntropy Kernel fuzzy C-regression model clustering Fuzzy semantic modeling Maneuvering target tracking |
| Language | English |
| LinkModel | OpenURL |
| MergedId | FETCHMERGED-LOGICAL-c306t-cbcace44cf795f30f6ef945a32970f9902d54f3f7206e2ecb7ba1f887000d64e3 |
| PageCount | 11 |
| ParticipantIDs | crossref_primary_10_1016_j_neucom_2019_02_052 crossref_citationtrail_10_1016_j_neucom_2019_02_052 elsevier_sciencedirect_doi_10_1016_j_neucom_2019_02_052 |
| PublicationCentury | 2000 |
| PublicationDate | 2019-05-07 |
| PublicationDateYYYYMMDD | 2019-05-07 |
| PublicationDate_xml | – month: 05 year: 2019 text: 2019-05-07 day: 07 |
| PublicationDecade | 2010 |
| PublicationTitle | Neurocomputing (Amsterdam) |
| PublicationYear | 2019 |
| Publisher | Elsevier B.V |
| Publisher_xml | – name: Elsevier B.V |
| References | Zhu (bib0031) 1999; 35 Liu, Pokharel, Principe (bib0020) 2007; 55 Sumati, Patvardhan (bib0003) 2018; 26 Sule, Li, Taylor, Onime (bib0004) 2017; 2 Chen, Wang, Xie, Yu (bib0018) 2007; 15 Liang-qun, Wei-xin, Jing-xiong, Jian-jun (bib0035) 2009; 59 Lughofer, Pratama (bib0001) 2018; 26 Cao, Lin (bib0019) 2018; 26 Rong Li, Jilkov (bib0033) 2005; 41 Liu, Meng (bib0030) 2004; 12 Bezdek (bib0006) 1981 Graves, Pedrycz (bib0029) 2010; 161 Chen, Liu, Zhao, Principe (bib0022) 2017; 76 Zou, Li, Zhang (bib0014) 2017; 99 Zadeh (bib0025) 1973; SMC-3 Richman, Moorman (bib0017) 2000; 278 Sugeno, Yasukawa (bib0026) 1993; 1 Kim, Park, Ji, Park (bib0007) 1997; 5 Zadeh (bib0012) 1975; 8 Bao, Rong, Angelov, Chen, Wong (bib0024) 2017; 99 Li, Zhou, Chang, Huang, Zhang (bib0010) 2017; 25 Chen, Xing, Zhao, Zheng, Principe (bib0021) 2016; 64 Takagi, Sugeno (bib0005) 1985; SMC-15 Widynski, Dubuisson, Bloch (bib0027) 2011; 41 Liang-qun, Wei-xin, Zong-xiang (bib0032) 2016; 52 Gao, Xiao, Liu (bib0013) 2019; 15 Kung, Su (bib0008) 2007; 1 Liu, Li, Li, Yan, Saha (bib0009) 2017; 11 Boers Y., Driessen J.N. Interacting Multiple Model Particle Filter. 2003, 150(5):344–349. Li, Liu, Feng (bib0002) 2018; 99 Lam, Li, Deters (bib0015) 2013; 61 Gao, Hongyi, Ligang (bib0016) 2016; 120 Simon (bib0011) 2002; 10 Wang, Tang, Yang, Zou (bib0023) 2017 Widynski, Dubuisson, Bloch (bib0028) 2012; 116 Bezdek (10.1016/j.neucom.2019.02.052_bib0006) 1981 Liu (10.1016/j.neucom.2019.02.052_bib0020) 2007; 55 Li (10.1016/j.neucom.2019.02.052_bib0010) 2017; 25 Liang-qun (10.1016/j.neucom.2019.02.052_bib0032) 2016; 52 Cao (10.1016/j.neucom.2019.02.052_bib0019) 2018; 26 Lughofer (10.1016/j.neucom.2019.02.052_bib0001) 2018; 26 Rong Li (10.1016/j.neucom.2019.02.052_bib0033) 2005; 41 Zadeh (10.1016/j.neucom.2019.02.052_bib0012) 1975; 8 Widynski (10.1016/j.neucom.2019.02.052_bib0028) 2012; 116 Kung (10.1016/j.neucom.2019.02.052_bib0008) 2007; 1 Simon (10.1016/j.neucom.2019.02.052_bib0011) 2002; 10 Graves (10.1016/j.neucom.2019.02.052_bib0029) 2010; 161 Bao (10.1016/j.neucom.2019.02.052_bib0024) 2017; 99 10.1016/j.neucom.2019.02.052_bib0034 Takagi (10.1016/j.neucom.2019.02.052_bib0005) 1985; SMC-15 Gao (10.1016/j.neucom.2019.02.052_bib0016) 2016; 120 Zhu (10.1016/j.neucom.2019.02.052_bib0031) 1999; 35 Kim (10.1016/j.neucom.2019.02.052_bib0007) 1997; 5 Zou (10.1016/j.neucom.2019.02.052_bib0014) 2017; 99 Zadeh (10.1016/j.neucom.2019.02.052_bib0025) 1973; SMC-3 Sumati (10.1016/j.neucom.2019.02.052_bib0003) 2018; 26 Liu (10.1016/j.neucom.2019.02.052_bib0030) 2004; 12 Richman (10.1016/j.neucom.2019.02.052_bib0017) 2000; 278 Li (10.1016/j.neucom.2019.02.052_bib0002) 2018; 99 Wang (10.1016/j.neucom.2019.02.052_bib0023) 2017 Chen (10.1016/j.neucom.2019.02.052_bib0021) 2016; 64 Widynski (10.1016/j.neucom.2019.02.052_bib0027) 2011; 41 Liu (10.1016/j.neucom.2019.02.052_bib0009) 2017; 11 Lam (10.1016/j.neucom.2019.02.052_bib0015) 2013; 61 Chen (10.1016/j.neucom.2019.02.052_bib0018) 2007; 15 Gao (10.1016/j.neucom.2019.02.052_bib0013) 2019; 15 Sugeno (10.1016/j.neucom.2019.02.052_bib0026) 1993; 1 Chen (10.1016/j.neucom.2019.02.052_bib0022) 2017; 76 Sule (10.1016/j.neucom.2019.02.052_bib0004) 2017; 2 Liang-qun (10.1016/j.neucom.2019.02.052_bib0035) 2009; 59 |
| References_xml | – volume: 99 start-page: 1 year: 2018 end-page: 8 ident: bib0002 article-title: Finite-time H∞ controller synthesis of T-S fuzzy systems publication-title: IEEE Trans. Syst. Man Cybern.: Syst. – volume: 26 start-page: 203 year: 2018 end-page: 215 ident: bib0003 article-title: Interval type-2 mutual subsethood fuzzy neural inference system (IT2MSFuNIS) publication-title: IEEE Trans. Fuzzy Syst. – volume: 41 start-page: 635 year: 2011 end-page: 649 ident: bib0027 article-title: Integration of fuzzy spatial information in tracking based on particle filtering publication-title: IEEE Trans. Syst. Man Cybern. Part B: Cybern. – volume: 64 start-page: 3376 year: 2016 end-page: 3387 ident: bib0021 article-title: Generalized correntropy for robust adaptive filtering publication-title: IEEE Trans. Signal Process. – reference: Boers Y., Driessen J.N. Interacting Multiple Model Particle Filter. 2003, 150(5):344–349. – volume: 59 start-page: 197 year: 2009 end-page: 204 ident: bib0035 article-title: Multiple model rao–blackwellized particle filter for maneuvering target tracking publication-title: Int. J. Def. Sci. – volume: 2 start-page: 84 year: 2017 end-page: 89 ident: bib0004 article-title: Fuzzy logic approach to modeling trust in cloud computing publication-title: IET Cyber-Phys. Syst.: Theory Appl. – volume: 26 start-page: 1032 year: 2018 end-page: 1035 ident: bib0019 article-title: Inherent fuzzy entropy for the improvement of EEG complexity evaluation publication-title: IEEE Trans. Fuzzy Syst. – volume: 76 start-page: 70 year: 2017 end-page: 77 ident: bib0022 article-title: Maximum correntropy Kalman filter publication-title: Automatica – volume: 61 start-page: 956 year: 2013 end-page: 968 ident: bib0015 article-title: Control design for interval type-2 fuzzy systems under imperfect premise matching publication-title: IEEE Trans. Ind. Electron. – volume: 52 start-page: 2564 year: 2016 end-page: 2569 ident: bib0032 article-title: Auxiliary truncated particle filtering with least-square method for bearings-only maneuvering target tracking publication-title: IEEE Trans. Aerosp. Electron. Syst. – volume: 41 start-page: 1255 year: 2005 end-page: 1321 ident: bib0033 article-title: Survey of maneuvering target tracking. Part V. Multiple-model methods publication-title: IEEE Trans. Aerosp. Electron. Syst. – volume: 1 start-page: 1255 year: 2007 end-page: 1265 ident: bib0008 article-title: Affine Takagi–Sugeno fuzzy modelling algorithm by fuzzy c-regression models clustering with a novel cluster validity criterion publication-title: IET Control Theory Appl. – volume: 99 start-page: 1 year: 2017 end-page: 10 ident: bib0014 article-title: A T-S fuzzy model identification approach based on a modified inter type-2 FRCM algorithm publication-title: IEEE Trans. Fuzzy Syst. – volume: 5 start-page: 328 year: 1997 end-page: 337 ident: bib0007 article-title: A new approach to fuzzy modeling publication-title: IEEE Trans. Fuzzy Syst. – volume: 35 start-page: 102 year: 1999 end-page: 114 ident: bib0031 article-title: Efficient recursive state estimator for dynamic systems without knowledge of noise covariances publication-title: IEEE Trans. Aerosp. Electron. Syst. – year: 1981 ident: bib0006 article-title: Pattern Recognition with Fuzzy Objective Function Algorithms – start-page: 501 year: 2017 end-page: 506 ident: bib0023 article-title: Information-theoretic generalized orthogonal matching pursuit for robust pattern classification publication-title: Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC) – volume: 11 start-page: 1281 year: 2017 end-page: 1287 ident: bib0009 article-title: Takagi–Sugeno fuzzy model-based approach considering multiple weather factors for the photovoltaic power short-term forecasting publication-title: IET Renew. Power Gener. – volume: 278 start-page: H2039 year: 2000 end-page: H2049 ident: bib0017 article-title: Physiological time-series analysis using approximate entropy and sample entropy publication-title: Am. J. Physiol. Heart Circ. Physiol. – volume: 99 start-page: 1 year: 2017 end-page: 14 ident: bib0024 article-title: Correntropy-based evolving fuzzy neural system publication-title: IEEE Trans. Fuzzy Syst. – volume: SMC-15 start-page: 116 year: 1985 end-page: 132 ident: bib0005 article-title: Fuzzy identification of systems and its applications to modeling and control publication-title: IEEE Trans. Syst. Man Cybern. – volume: 26 start-page: 292 year: 2018 end-page: 309 ident: bib0001 article-title: Online active learning in data stream regression using uncertainty sampling based on evolving generalized fuzzy models publication-title: IEEE Trans. Fuzzy Syst. – volume: 10 start-page: 363 year: 2002 end-page: 384 ident: bib0011 article-title: Sum normal optimization of fuzzy membership functions publication-title: Int. J. Uncertain. Fuzziness Knowl.-Based Syst. – volume: 15 start-page: 334 year: 2019 end-page: 347 ident: bib0013 article-title: Distributed soft fault detection for interval type-2 fuzzy-model-based stochastic systems publication-title: IEEE Trans. Ind. Inform. – volume: 120 start-page: 409 year: 2016 end-page: 421 ident: bib0016 article-title: Optimal control of discrete-time interval type-2 fuzzy-model-based systems with publication-title: Signal Process. – volume: 161 start-page: 522 year: 2010 end-page: 543 ident: bib0029 article-title: Kerne-based fuzzy clustering and fuzzy clustering:a comparative experimental study publication-title: Fuzzy Sets Syst. – volume: 8 start-page: 199 year: 1975 end-page: 249 ident: bib0012 article-title: The concept of linguistic variable and its application to approximate reasoning-I publication-title: Inf. Sci. – volume: 15 start-page: 266 year: 2007 end-page: 272 ident: bib0018 article-title: Characterization of surface EMG signal based on fuzzy entropy publication-title: IEEE Trans. Neural Syst. Rehabil. Eng. – volume: 12 start-page: 516 year: 2004 end-page: 523 ident: bib0030 article-title: Online data-driven fuzzy clustering with applications to real-time robotic tracking publication-title: IEEE Trans. Fuzzy Syst. – volume: 55 start-page: 5286 year: 2007 end-page: 5298 ident: bib0020 article-title: Correntropy: properties and applications in non-Gaussian signal processing publication-title: IEEE Trans. Signal Process. – volume: 1 start-page: 7 year: 1993 end-page: 31 ident: bib0026 article-title: A fuzzy-logic-based approach to qualitative modeling publication-title: IEEE Trans. Fuzzy Syst. – volume: 25 start-page: 1364 year: 2017 end-page: 1370 ident: bib0010 article-title: T–S fuzzy model identification based on a novel hyperplane-shaped membership function publication-title: IEEE Trans. Fuzzy Syst. – volume: SMC-3 start-page: 28 year: 1973 end-page: 44 ident: bib0025 article-title: Outline of a new approach to the analysis of complex systems and decision processes publication-title: IEEE Trans. Syst. Man. Cybern. – volume: 116 start-page: 1076 year: 2012 end-page: 1094 ident: bib0028 article-title: Fuzzy spatial constraints and ranked partitioned sampling approach for multiple object tracking publication-title: Comput. Vis. Image Underst. – volume: 41 start-page: 635 issue: 3 year: 2011 ident: 10.1016/j.neucom.2019.02.052_bib0027 article-title: Integration of fuzzy spatial information in tracking based on particle filtering publication-title: IEEE Trans. Syst. Man Cybern. Part B: Cybern. doi: 10.1109/TSMCB.2010.2064767 – volume: 2 start-page: 84 issue: 2 year: 2017 ident: 10.1016/j.neucom.2019.02.052_bib0004 article-title: Fuzzy logic approach to modeling trust in cloud computing publication-title: IET Cyber-Phys. Syst.: Theory Appl. doi: 10.1049/iet-cps.2017.0016 – year: 1981 ident: 10.1016/j.neucom.2019.02.052_bib0006 – volume: 1 start-page: 7 issue: 1 year: 1993 ident: 10.1016/j.neucom.2019.02.052_bib0026 article-title: A fuzzy-logic-based approach to qualitative modeling publication-title: IEEE Trans. Fuzzy Syst. doi: 10.1109/TFUZZ.1993.390281 – volume: 8 start-page: 199 issue: 2 year: 1975 ident: 10.1016/j.neucom.2019.02.052_bib0012 article-title: The concept of linguistic variable and its application to approximate reasoning-I publication-title: Inf. Sci. doi: 10.1016/0020-0255(75)90036-5 – volume: 99 start-page: 1 year: 2017 ident: 10.1016/j.neucom.2019.02.052_bib0024 article-title: Correntropy-based evolving fuzzy neural system publication-title: IEEE Trans. Fuzzy Syst. – volume: 11 start-page: 1281 issue: 10 year: 2017 ident: 10.1016/j.neucom.2019.02.052_bib0009 article-title: Takagi–Sugeno fuzzy model-based approach considering multiple weather factors for the photovoltaic power short-term forecasting publication-title: IET Renew. Power Gener. doi: 10.1049/iet-rpg.2016.1036 – volume: 41 start-page: 1255 issue: 4 year: 2005 ident: 10.1016/j.neucom.2019.02.052_bib0033 article-title: Survey of maneuvering target tracking. Part V. Multiple-model methods publication-title: IEEE Trans. Aerosp. Electron. Syst. doi: 10.1109/TAES.2005.1561886 – volume: 64 start-page: 3376 issue: 13 year: 2016 ident: 10.1016/j.neucom.2019.02.052_bib0021 article-title: Generalized correntropy for robust adaptive filtering publication-title: IEEE Trans. Signal Process. doi: 10.1109/TSP.2016.2539127 – volume: SMC-15 start-page: 116 issue: 1 year: 1985 ident: 10.1016/j.neucom.2019.02.052_bib0005 article-title: Fuzzy identification of systems and its applications to modeling and control publication-title: IEEE Trans. Syst. Man Cybern. doi: 10.1109/TSMC.1985.6313399 – volume: 99 start-page: 1 year: 2018 ident: 10.1016/j.neucom.2019.02.052_bib0002 article-title: Finite-time H∞ controller synthesis of T-S fuzzy systems publication-title: IEEE Trans. Syst. Man Cybern.: Syst. – volume: 1 start-page: 1255 issue: 5 year: 2007 ident: 10.1016/j.neucom.2019.02.052_bib0008 article-title: Affine Takagi–Sugeno fuzzy modelling algorithm by fuzzy c-regression models clustering with a novel cluster validity criterion publication-title: IET Control Theory Appl. doi: 10.1049/iet-cta:20060415 – volume: 26 start-page: 292 issue: 1 year: 2018 ident: 10.1016/j.neucom.2019.02.052_bib0001 article-title: Online active learning in data stream regression using uncertainty sampling based on evolving generalized fuzzy models publication-title: IEEE Trans. Fuzzy Syst. doi: 10.1109/TFUZZ.2017.2654504 – volume: 26 start-page: 203 issue: 1 year: 2018 ident: 10.1016/j.neucom.2019.02.052_bib0003 article-title: Interval type-2 mutual subsethood fuzzy neural inference system (IT2MSFuNIS) publication-title: IEEE Trans. Fuzzy Syst. doi: 10.1109/TFUZZ.2016.2646750 – volume: 10 start-page: 363 issue: 4 year: 2002 ident: 10.1016/j.neucom.2019.02.052_bib0011 article-title: Sum normal optimization of fuzzy membership functions publication-title: Int. J. Uncertain. Fuzziness Knowl.-Based Syst. doi: 10.1142/S0218488502001533 – volume: 116 start-page: 1076 issue: 10 year: 2012 ident: 10.1016/j.neucom.2019.02.052_bib0028 article-title: Fuzzy spatial constraints and ranked partitioned sampling approach for multiple object tracking publication-title: Comput. Vis. Image Underst. doi: 10.1016/j.cviu.2012.07.002 – volume: 278 start-page: H2039 year: 2000 ident: 10.1016/j.neucom.2019.02.052_bib0017 article-title: Physiological time-series analysis using approximate entropy and sample entropy publication-title: Am. J. Physiol. Heart Circ. Physiol. doi: 10.1152/ajpheart.2000.278.6.H2039 – volume: 15 start-page: 266 issue: 2 year: 2007 ident: 10.1016/j.neucom.2019.02.052_bib0018 article-title: Characterization of surface EMG signal based on fuzzy entropy publication-title: IEEE Trans. Neural Syst. Rehabil. Eng. doi: 10.1109/TNSRE.2007.897025 – volume: 5 start-page: 328 issue: 3 year: 1997 ident: 10.1016/j.neucom.2019.02.052_bib0007 article-title: A new approach to fuzzy modeling publication-title: IEEE Trans. Fuzzy Syst. doi: 10.1109/91.618271 – ident: 10.1016/j.neucom.2019.02.052_bib0034 – volume: 35 start-page: 102 issue: 1 year: 1999 ident: 10.1016/j.neucom.2019.02.052_bib0031 article-title: Efficient recursive state estimator for dynamic systems without knowledge of noise covariances publication-title: IEEE Trans. Aerosp. Electron. Syst. doi: 10.1109/7.745684 – volume: 59 start-page: 197 issue: 3 year: 2009 ident: 10.1016/j.neucom.2019.02.052_bib0035 article-title: Multiple model rao–blackwellized particle filter for maneuvering target tracking publication-title: Int. J. Def. Sci. doi: 10.14429/dsj.59.1512 – volume: 25 start-page: 1364 issue: 5 year: 2017 ident: 10.1016/j.neucom.2019.02.052_bib0010 article-title: T–S fuzzy model identification based on a novel hyperplane-shaped membership function publication-title: IEEE Trans. Fuzzy Syst. doi: 10.1109/TFUZZ.2016.2598850 – volume: 99 start-page: 1 year: 2017 ident: 10.1016/j.neucom.2019.02.052_bib0014 article-title: A T-S fuzzy model identification approach based on a modified inter type-2 FRCM algorithm publication-title: IEEE Trans. Fuzzy Syst. – volume: 161 start-page: 522 issue: 4 year: 2010 ident: 10.1016/j.neucom.2019.02.052_bib0029 article-title: Kerne-based fuzzy clustering and fuzzy clustering:a comparative experimental study publication-title: Fuzzy Sets Syst. doi: 10.1016/j.fss.2009.10.021 – volume: 52 start-page: 2564 issue: 5 year: 2016 ident: 10.1016/j.neucom.2019.02.052_bib0032 article-title: Auxiliary truncated particle filtering with least-square method for bearings-only maneuvering target tracking publication-title: IEEE Trans. Aerosp. Electron. Syst. – volume: 120 start-page: 409 issue: C year: 2016 ident: 10.1016/j.neucom.2019.02.052_bib0016 article-title: Optimal control of discrete-time interval type-2 fuzzy-model-based systems with d-stability constraint and control saturation publication-title: Signal Process. doi: 10.1016/j.sigpro.2015.09.007 – volume: 26 start-page: 1032 issue: 2 year: 2018 ident: 10.1016/j.neucom.2019.02.052_bib0019 article-title: Inherent fuzzy entropy for the improvement of EEG complexity evaluation publication-title: IEEE Trans. Fuzzy Syst. doi: 10.1109/TFUZZ.2017.2666789 – volume: 55 start-page: 5286 issue: 11 year: 2007 ident: 10.1016/j.neucom.2019.02.052_bib0020 article-title: Correntropy: properties and applications in non-Gaussian signal processing publication-title: IEEE Trans. Signal Process. doi: 10.1109/TSP.2007.896065 – volume: 15 start-page: 334 issue: 1 year: 2019 ident: 10.1016/j.neucom.2019.02.052_bib0013 article-title: Distributed soft fault detection for interval type-2 fuzzy-model-based stochastic systems publication-title: IEEE Trans. Ind. Inform. doi: 10.1109/TII.2018.2812771 – volume: 61 start-page: 956 issue: 2 year: 2013 ident: 10.1016/j.neucom.2019.02.052_bib0015 article-title: Control design for interval type-2 fuzzy systems under imperfect premise matching publication-title: IEEE Trans. Ind. Electron. doi: 10.1109/TIE.2013.2253064 – volume: SMC-3 start-page: 28 issue: 1 year: 1973 ident: 10.1016/j.neucom.2019.02.052_bib0025 article-title: Outline of a new approach to the analysis of complex systems and decision processes publication-title: IEEE Trans. Syst. Man. Cybern. doi: 10.1109/TSMC.1973.5408575 – volume: 12 start-page: 516 issue: 4 year: 2004 ident: 10.1016/j.neucom.2019.02.052_bib0030 article-title: Online data-driven fuzzy clustering with applications to real-time robotic tracking publication-title: IEEE Trans. Fuzzy Syst. doi: 10.1109/TFUZZ.2004.832521 – start-page: 501 year: 2017 ident: 10.1016/j.neucom.2019.02.052_bib0023 article-title: Information-theoretic generalized orthogonal matching pursuit for robust pattern classification – volume: 76 start-page: 70 issue: 2 year: 2017 ident: 10.1016/j.neucom.2019.02.052_bib0022 article-title: Maximum correntropy Kalman filter publication-title: Automatica doi: 10.1016/j.automatica.2016.10.004 |
| SSID | ssj0017129 |
| Score | 2.3541207 |
| Snippet | •Fuzzy correntropy is constructed.•A novel kernel fuzzy C-regression model clustering based on fuzzy correntropy is proposed.•Modified extended forgetting... |
| SourceID | crossref elsevier |
| SourceType | Enrichment Source Index Database Publisher |
| StartPage | 222 |
| SubjectTerms | Fuzzy correntropy Fuzzy semantic modeling Kernel fuzzy C-regression model clustering Maneuvering target tracking |
| Title | A novel recursive T-S fuzzy semantic modeling approach for discrete state-space systems |
| URI | https://dx.doi.org/10.1016/j.neucom.2019.02.052 |
| Volume | 340 |
| WOSCitedRecordID | wos000461360000019&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: PRVESC databaseName: Elsevier SD Freedom Collection Journals 2021 customDbUrl: eissn: 1872-8286 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0017129 issn: 0925-2312 databaseCode: AIEXJ dateStart: 19950101 isFulltext: true titleUrlDefault: https://www.sciencedirect.com providerName: Elsevier |
| link | http://cvtisr.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9NAEF6FlAMXKC-1QNEeuFmLnLWd9R6tqghQVIEIxDfLXu8iR61TpXHU9h_0X3f25QSKCj1wsSLLHjueTzuz8_gGoXeVkmWkM4ypSASJRyUlVU0FGZc6R1aFrDZ93D8m7Pg4zXP-ZTC49r0w6xPWtunFBT_7r6qGc6Bs3Tp7D3X3QuEE_AalwxHUDsd_UnwWtIu11HT9QkcC1jKYkm-B6q6uLoNzeQpfshF2AI7pT3Sc4qbcULfoLsGLDkybEYHFRhPQbnGazz3XUwd2z8yDcJGG7FQTLtQaXX1kYWIbrwF_P8nXrgfhzEWo86ZckEnjT-c2UTKTDcmbTZ1Q05n0yQJk5FrSdpRCN0YlxI6z9eFGmhDwJX9ZeSPL1OTXTtug7MwwtWHPWyu8DTbM37ey0-U--lmGdDWhG4vms_i_Gbq-_NBXts0LK6XQUoqQFiDlAdoBkPJ0iHayT0f55z4lxUbUEje6P-L7ME2x4O23-bOfs-W7THfRY7fpwJkFy1M0kO0z9MQP9MBufX-OZhk22ME9djBgBxvsYI8d7LGDPXYwYAd77OAt7GCHnRfo-4ej6eFH4iZvEAFbyBURlYCL4lgoxhMVhWosFY-TMqKchQocGFonsYoUo-FYUikqVpUjBfYKDGw9jmX0Eg3bRSv3EJaxqjijCjbyCoyFTHkc0xLcdK5CLmq-jyL_nQrhaOn1dJST4i4t7SPS33VmaVn-cj3zKiica2ldxgJwdeedr-75pNfo0Qb_b9BwtezkAXoo1qvmfPnWgeoGtoCdww |
| linkProvider | Elsevier |
| 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=A+novel+recursive+T-S+fuzzy+semantic+modeling+approach+for+discrete+state-space+systems&rft.jtitle=Neurocomputing+%28Amsterdam%29&rft.au=Li%2C+Liang-Qun&rft.au=Wang%2C+Xiao-Li&rft.au=Xie%2C+Wei-Xin&rft.au=Liu%2C+Zong-Xiang&rft.date=2019-05-07&rft.issn=0925-2312&rft.volume=340&rft.spage=222&rft.epage=232&rft_id=info:doi/10.1016%2Fj.neucom.2019.02.052&rft.externalDBID=n%2Fa&rft.externalDocID=10_1016_j_neucom_2019_02_052 |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0925-2312&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0925-2312&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0925-2312&client=summon |