Multiple model self-tuning control for a class of nonlinear systems
This study develops a novel nonlinear multiple model self-tuning control method for a class of nonlinear discrete-time systems. An increment system model and a modified robust adaptive law are proposed to expand the application range, thus eliminating the assumption that either the nonlinear term of...
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| Published in | International journal of control Vol. 88; no. 10; pp. 1984 - 1994 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Abingdon
Taylor & Francis
03.10.2015
Taylor & Francis Ltd |
| Subjects | |
| Online Access | Get full text |
| ISSN | 0020-7179 1366-5820 |
| DOI | 10.1080/00207179.2015.1027271 |
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| Abstract | This study develops a novel nonlinear multiple model self-tuning control method for a class of nonlinear discrete-time systems. An increment system model and a modified robust adaptive law are proposed to expand the application range, thus eliminating the assumption that either the nonlinear term of the nonlinear system or its differential term is global-bounded. The nonlinear self-tuning control method can address the situation wherein the nonlinear system is not subject to a globally uniformly asymptotically stable zero dynamics by incorporating the pole-placement scheme. A novel, nonlinear control structure based on this scheme is presented to improve control precision. Stability and convergence can be confirmed when the proposed multiple model self-tuning control method is applied. Furthermore, simulation results demonstrate the effectiveness of the proposed method. |
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| AbstractList | This study develops a novel nonlinear multiple model self-tuning control method for a class of nonlinear discrete-time systems. An increment system model and a modified robust adaptive law are proposed to expand the application range, thus eliminating the assumption that either the nonlinear term of the nonlinear system or its differential term is global-bounded. The nonlinear self-tuning control method can address the situation wherein the nonlinear system is not subject to a globally uniformly asymptotically stable zero dynamics by incorporating the pole-placement scheme. A novel, nonlinear control structure based on this scheme is presented to improve control precision. Stability and convergence can be confirmed when the proposed multiple model self-tuning control method is applied. Furthermore, simulation results demonstrate the effectiveness of the proposed method. |
| Author | Wang, Xin Wang, Zhenlei Huang, Miao |
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| Cites_doi | 10.1016/j.automatica.2006.10.007 10.1109/9.802910 10.1109/37.387616 10.1002/aic.690320602 10.1109/9.649687 10.1016/S0005-1098(01)00072-3 10.1049/iet-cta.2013.0242 10.1002/1099-1239(200009/10)10:11/12<909::AID-RNC532>3.0.CO;2-Z 10.1002/acs.912 10.1109/TAC.2010.2042345 10.1080/00207170600789087 10.1016/S0005-1098(02)00024-9 10.1109/9.539424 10.1016/j.automatica.2006.12.010 10.1109/9.250565 10.1080/00207170701837371 10.1016/0005-1098(83)90002-X 10.1109/5.537106 10.1080/00207179208934286 10.1016/j.neucom.2011.10.019 10.1109/9.159571 10.1109/9.554398 10.1109/9.981733 10.1080/00207179.2011.588960 |
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| StartPage | 1984 |
| SubjectTerms | Asymptotic properties Computer simulation Control systems Convergence Dynamical systems increment model Mathematical models multiple model self-tuning control Nonlinear dynamics Nonlinear systems Nonlinearity pole-placement scheme |
| Title | Multiple model self-tuning control for a class of nonlinear systems |
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