A modified Hammerstein modeling by the differential evolution algorithm
This paper focuses on the nonlinear system modeling based on using a modified Hammerstein system model. The proposed Hammerstein structure is composed of a bilinear neural network (BNN) and a recursive digital system in the cascaded form. The former is taken to be the nonlinear function part of the...
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| Published in | Signal, image and video processing Vol. 18; no. 6-7; pp. 5099 - 5112 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
London
Springer London
01.08.2024
Springer Nature B.V |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1863-1703 1863-1711 |
| DOI | 10.1007/s11760-024-03218-w |
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| Abstract | This paper focuses on the nonlinear system modeling based on using a modified Hammerstein system model. The proposed Hammerstein structure is composed of a bilinear neural network (BNN) and a recursive digital system in the cascaded form. The former is taken to be the nonlinear function part of the Hammerstein model, and the latter is used as the linear dynamic subsystem. The BNN is then constructed by the bilinear digital system and the recurrent neural network, which already possesses a satisfactory modeling capacity. To update all of adjustable parameters within the proposed Hammerstein model, a popular and powerful evolutionary computation called the differential evolution (DE) is utilized so that the model output can be closely to the actual nonlinear system output. Finally, a simulated nonlinear chemical process system, continuously stirred tank reactor (CSTR), is illustrated with the modeling phase and testing phase. Some experiment results as compared with another method from the subject literature are provided to demonstrate the feasibility of the proposed method and its good modeling. |
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| AbstractList | This paper focuses on the nonlinear system modeling based on using a modified Hammerstein system model. The proposed Hammerstein structure is composed of a bilinear neural network (BNN) and a recursive digital system in the cascaded form. The former is taken to be the nonlinear function part of the Hammerstein model, and the latter is used as the linear dynamic subsystem. The BNN is then constructed by the bilinear digital system and the recurrent neural network, which already possesses a satisfactory modeling capacity. To update all of adjustable parameters within the proposed Hammerstein model, a popular and powerful evolutionary computation called the differential evolution (DE) is utilized so that the model output can be closely to the actual nonlinear system output. Finally, a simulated nonlinear chemical process system, continuously stirred tank reactor (CSTR), is illustrated with the modeling phase and testing phase. Some experiment results as compared with another method from the subject literature are provided to demonstrate the feasibility of the proposed method and its good modeling. |
| Author | Chang, Wei-Der |
| Author_xml | – sequence: 1 givenname: Wei-Der surname: Chang fullname: Chang, Wei-Der email: wdchang@stu.edu.tw organization: Department of Computer and Communication, Shu-Te University |
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| Cites_doi | 10.1016/j.neucom.2014.07.030 10.1007/s00521-012-1295-5 10.1016/j.asoc.2014.11.003 10.1016/j.asoc.2014.06.048 10.1016/j.eswa.2014.10.040 10.1016/j.neucom.2014.04.071 10.1016/j.jprocont.2013.10.012 10.1016/j.adhoc.2014.08.006 10.1016/j.ins.2014.11.026 10.1016/j.asoc.2022.108836 10.1016/j.automatica.2013.11.004 10.1016/j.ijepes.2014.07.003 10.1023/A:1008202821328 10.1016/j.ijepes.2014.10.018 10.1016/j.asoc.2014.08.064 10.1016/j.ijepes.2014.12.016 10.1016/j.eswa.2014.09.046 10.1016/S0959-1524(98)00038-9 10.1016/j.neucom.2014.03.051 10.1016/j.ins.2014.04.037 10.1109/TSMC.2022.3186610 10.1016/j.automatica.2014.10.105 10.1016/j.ijepes.2014.03.070 10.1016/j.sigpro.2014.05.030 10.1016/j.advengsoft.2014.08.009 |
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| Keywords | System modeling Recursive digital system Hammerstein model Differential evolution algorithm Bilinear neural network |
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| References | Torres, Castro (CR9) 2015; 68 Zamuda, Brest (CR17) 2014; 278 Kumar (CR24) 2022; 122 Amrane, Boudour, Ladjici, Elmaouhab (CR11) 2015; 66 Poikolainen, Neri, Caraffini (CR18) 2015; 297 Gotmare, Patidar, George (CR2) 2015; 42 Yu, Mao, Jia, Yuan (CR7) 2014; 105 Chen, Xiao, Ding (CR5) 2014; 247 Chang (CR25) 2014 Rasouli, Westwick, Rosehart (CR6) 2014; 50 Fan, Yan (CR20) 2015; 42 Draa, Bouzoubia, Boukhalfa (CR19) 2015; 27 Lu, Tang, Sendhoff, Yao (CR22) 2014; 146 Wang, Zhang (CR4) 2014; 24 He, Xu, Yang, Han, Yang (CR16) 2014; 61 Chen, Xie, Zou (CR21) 2015; 149 Chen, Peng (CR26) 1999; 9 Basu (CR14) 2014; 63 Kuila, Jana (CR13) 2015; 25 Storn, Price (CR8) 1997; 11 Al-Dabbagh, Kinsheel, Mekhilef, Baba, Shamshirband (CR15) 2014; 78 Zamuda, Daniel, Sosa (CR12) 2014; 24 Gundry, Zou, Uyar, Sahin, Kusyk (CR10) 2015; 25 Schoukens, Marconato, Pintelon, Vandersteen, Rolain (CR3) 2015; 51 Cui, Liu, Li, Tang, Guan (CR1) 2014; 142 Kumar (CR23) 2023; 53 SP Torres (3218_CR9) 2015; 68 WD Chang (3218_CR25) 2014 S Gundry (3218_CR10) 2015; 25 A Draa (3218_CR19) 2015; 27 Q Fan (3218_CR20) 2015; 42 F Yu (3218_CR7) 2014; 105 I Poikolainen (3218_CR18) 2015; 297 R Storn (3218_CR8) 1997; 11 P Kuila (3218_CR13) 2015; 25 M Schoukens (3218_CR3) 2015; 51 M Rasouli (3218_CR6) 2014; 50 A Zamuda (3218_CR12) 2014; 24 RD Al-Dabbagh (3218_CR15) 2014; 78 R Kumar (3218_CR24) 2022; 122 M Basu (3218_CR14) 2014; 63 J Wang (3218_CR4) 2014; 24 A Zamuda (3218_CR17) 2014; 278 Y Amrane (3218_CR11) 2015; 66 A Gotmare (3218_CR2) 2015; 42 Y He (3218_CR16) 2014; 61 R Kumar (3218_CR23) 2023; 53 Y Chen (3218_CR21) 2015; 149 M Cui (3218_CR1) 2014; 142 CT Chen (3218_CR26) 1999; 9 H Chen (3218_CR5) 2014; 247 X Lu (3218_CR22) 2014; 146 |
| References_xml | – volume: 149 start-page: 1038 year: 2015 end-page: 1047 ident: CR21 article-title: A binary differential evolution algorithm learning from explored solutions publication-title: Neurocomputing doi: 10.1016/j.neucom.2014.07.030 – year: 2014 ident: CR25 article-title: Recurrent neural network modeling combined with bilinear model structure publication-title: Neural Comput. Appl. doi: 10.1007/s00521-012-1295-5 – volume: 27 start-page: 99 year: 2015 end-page: 126 ident: CR19 article-title: A sinusoidal differential evolution algorithm for numerical optimisation publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2014.11.003 – volume: 24 start-page: 95 year: 2014 end-page: 108 ident: CR12 article-title: Differential evolution and underwater glider path planning applied to the short-term opportunistic sampling of dynamic mesoscale ocean structure publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2014.06.048 – volume: 42 start-page: 2538 year: 2015 end-page: 2546 ident: CR2 article-title: Nonlinear system identification using a cuckoo search optimized adaptive Hammerstein model publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2014.10.040 – volume: 146 start-page: 2 year: 2014 end-page: 16 ident: CR22 article-title: A new self-adaptation scheme for differential evolution publication-title: Neurocomputing doi: 10.1016/j.neucom.2014.04.071 – volume: 24 start-page: 1 year: 2014 end-page: 12 ident: CR4 article-title: Detection of asymmetric control valve stiction from oscillatory data using an extended Hammerstein system identification method publication-title: J. Process Control doi: 10.1016/j.jprocont.2013.10.012 – volume: 25 start-page: 454 year: 2015 end-page: 471 ident: CR10 article-title: Differential evolution-based autonomous and disruption tolerant vehicular self-organization in MANETs publication-title: Ad Hoc Netw. doi: 10.1016/j.adhoc.2014.08.006 – volume: 297 start-page: 216 year: 2015 end-page: 235 ident: CR18 article-title: Cluster-based population initialization for differential evolution frameworks publication-title: Inf. Sci. doi: 10.1016/j.ins.2014.11.026 – volume: 122 start-page: 108836 year: 2022 ident: CR24 article-title: A Lyapunov-stability-based context-layered recurrent pi-sigma neural network for the identification of nonlinear systems publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2022.108836 – volume: 50 start-page: 277 year: 2014 end-page: 281 ident: CR6 article-title: Quasiconvexity analysis of the Hammerstein model publication-title: Automatica doi: 10.1016/j.automatica.2013.11.004 – volume: 63 start-page: 855 year: 2014 end-page: 861 ident: CR14 article-title: Improved differential evolution for economic dispatch publication-title: Electr. Power Energy Syst. doi: 10.1016/j.ijepes.2014.07.003 – volume: 11 start-page: 341 year: 1997 end-page: 359 ident: CR8 article-title: Differential evolution: a simple and efficient heuristic for global optimization over continuous publication-title: J. Glob. Optim. doi: 10.1023/A:1008202821328 – volume: 66 start-page: 262 year: 2015 end-page: 271 ident: CR11 article-title: Optimal VAR control for real power loss minimization using differential evolution algorithm publication-title: Electr. Power Energy Syst. doi: 10.1016/j.ijepes.2014.10.018 – volume: 25 start-page: 414 year: 2015 end-page: 425 ident: CR13 article-title: A novel differential evolution based clustering algorithm for wireless sensor networks publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2014.08.064 – volume: 68 start-page: 243 year: 2015 end-page: 251 ident: CR9 article-title: Specialized differential evolution technique to solve the alternating current model based transmission expansion planning problem publication-title: Electr. Power Energy Syst. doi: 10.1016/j.ijepes.2014.12.016 – volume: 42 start-page: 1551 year: 2015 end-page: 1572 ident: CR20 article-title: Self-adaptive differential evolution algorithm with discrete mutation control parameters publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2014.09.046 – volume: 9 start-page: 151 year: 1999 end-page: 160 ident: CR26 article-title: Learning control of process systems with hard input constraints publication-title: J. Process Control doi: 10.1016/S0959-1524(98)00038-9 – volume: 142 start-page: 419 year: 2014 end-page: 428 ident: CR1 article-title: Identification of Hammerstein model using functional link artificial neural network publication-title: Neurocomputing doi: 10.1016/j.neucom.2014.03.051 – volume: 278 start-page: 1 year: 2014 end-page: 21 ident: CR17 article-title: Vectorized procedural models for animated trees reconstruction using differential evolution publication-title: Inf. Sci. doi: 10.1016/j.ins.2014.04.037 – volume: 53 start-page: 753 year: 2023 end-page: 762 ident: CR23 article-title: Memory recurrent Elman neural network-based identification of time-delayed nonlinear dynamical system publication-title: IEEE Trans. Syst. Man Cybern. Syst. doi: 10.1109/TSMC.2022.3186610 – volume: 51 start-page: 111 year: 2015 end-page: 122 ident: CR3 article-title: Parametric identification of parallel Wiener–Hammerstein systems publication-title: Automatica doi: 10.1016/j.automatica.2014.10.105 – volume: 247 start-page: 1202 year: 2014 end-page: 1210 ident: CR5 article-title: Hierarchical gradient parameter estimation algorithm for Hammerstein nonlinear systems using the key term separation publication-title: Appl. Math. Comput. – volume: 61 start-page: 455 year: 2014 end-page: 462 ident: CR16 article-title: A novel chaotic differential evolution algorithm for short-term cascaded hydroelectric system scheduling publication-title: Electr. Power Energy Syst. doi: 10.1016/j.ijepes.2014.03.070 – volume: 105 start-page: 137 year: 2014 end-page: 147 ident: CR7 article-title: Recursive parameter identification of Hammerstein–Wiener systems with measurement noise publication-title: Signal Process. doi: 10.1016/j.sigpro.2014.05.030 – volume: 78 start-page: 60 year: 2014 end-page: 66 ident: CR15 article-title: System identification and control of robot manipulation based on fuzzy adaptive differential evolution algorithm publication-title: Adv. Eng. Softw. doi: 10.1016/j.advengsoft.2014.08.009 – volume: 146 start-page: 2 year: 2014 ident: 3218_CR22 publication-title: Neurocomputing doi: 10.1016/j.neucom.2014.04.071 – volume: 9 start-page: 151 year: 1999 ident: 3218_CR26 publication-title: J. Process Control doi: 10.1016/S0959-1524(98)00038-9 – volume: 42 start-page: 2538 year: 2015 ident: 3218_CR2 publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2014.10.040 – volume: 51 start-page: 111 year: 2015 ident: 3218_CR3 publication-title: Automatica doi: 10.1016/j.automatica.2014.10.105 – volume: 53 start-page: 753 year: 2023 ident: 3218_CR23 publication-title: IEEE Trans. Syst. Man Cybern. Syst. doi: 10.1109/TSMC.2022.3186610 – volume: 247 start-page: 1202 year: 2014 ident: 3218_CR5 publication-title: Appl. Math. Comput. – volume: 42 start-page: 1551 year: 2015 ident: 3218_CR20 publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2014.09.046 – volume: 78 start-page: 60 year: 2014 ident: 3218_CR15 publication-title: Adv. Eng. Softw. doi: 10.1016/j.advengsoft.2014.08.009 – volume: 61 start-page: 455 year: 2014 ident: 3218_CR16 publication-title: Electr. Power Energy Syst. doi: 10.1016/j.ijepes.2014.03.070 – volume: 105 start-page: 137 year: 2014 ident: 3218_CR7 publication-title: Signal Process. doi: 10.1016/j.sigpro.2014.05.030 – volume: 297 start-page: 216 year: 2015 ident: 3218_CR18 publication-title: Inf. Sci. doi: 10.1016/j.ins.2014.11.026 – volume: 50 start-page: 277 year: 2014 ident: 3218_CR6 publication-title: Automatica doi: 10.1016/j.automatica.2013.11.004 – volume: 66 start-page: 262 year: 2015 ident: 3218_CR11 publication-title: Electr. Power Energy Syst. doi: 10.1016/j.ijepes.2014.10.018 – volume: 24 start-page: 1 year: 2014 ident: 3218_CR4 publication-title: J. Process Control doi: 10.1016/j.jprocont.2013.10.012 – volume: 149 start-page: 1038 year: 2015 ident: 3218_CR21 publication-title: Neurocomputing doi: 10.1016/j.neucom.2014.07.030 – volume: 142 start-page: 419 year: 2014 ident: 3218_CR1 publication-title: Neurocomputing doi: 10.1016/j.neucom.2014.03.051 – volume: 11 start-page: 341 year: 1997 ident: 3218_CR8 publication-title: J. Glob. Optim. doi: 10.1023/A:1008202821328 – volume: 278 start-page: 1 year: 2014 ident: 3218_CR17 publication-title: Inf. Sci. doi: 10.1016/j.ins.2014.04.037 – volume: 27 start-page: 99 year: 2015 ident: 3218_CR19 publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2014.11.003 – volume: 122 start-page: 108836 year: 2022 ident: 3218_CR24 publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2022.108836 – volume: 25 start-page: 454 year: 2015 ident: 3218_CR10 publication-title: Ad Hoc Netw. doi: 10.1016/j.adhoc.2014.08.006 – volume: 24 start-page: 95 year: 2014 ident: 3218_CR12 publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2014.06.048 – volume: 68 start-page: 243 year: 2015 ident: 3218_CR9 publication-title: Electr. Power Energy Syst. doi: 10.1016/j.ijepes.2014.12.016 – year: 2014 ident: 3218_CR25 publication-title: Neural Comput. Appl. doi: 10.1007/s00521-012-1295-5 – volume: 25 start-page: 414 year: 2015 ident: 3218_CR13 publication-title: Appl. Soft Comput. doi: 10.1016/j.asoc.2014.08.064 – volume: 63 start-page: 855 year: 2014 ident: 3218_CR14 publication-title: Electr. Power Energy Syst. doi: 10.1016/j.ijepes.2014.07.003 |
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| SubjectTerms | Algorithms Back propagation Computer Imaging Computer Science Continuously stirred tank reactors Evolutionary algorithms Evolutionary computation Image Processing and Computer Vision Mathematical models Modelling Multimedia Information Systems Neural networks Nonlinear systems Optimization Original Paper Parameter estimation Pattern Recognition and Graphics Recurrent neural networks Signal,Image and Speech Processing Simulation Subsystems Vision |
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