Adaptive Control for a Class of Nonlinear System with Redistributed Models
Multiple model adaptive control has been investigated extensively during the last ten years in which the “switching” or “switching and tuning” have emerged as the mainly approaches. It is the “switching” that can improve the transient performance to some extent and also make it difficult to analyze...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2012-01-01
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| Series: | Journal of Control Science and Engineering |
| Online Access: | http://dx.doi.org/10.1155/2012/409139 |
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| _version_ | 1849691012604100608 |
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| author | Haisen Ke Jiang Li |
| author_facet | Haisen Ke Jiang Li |
| author_sort | Haisen Ke |
| collection | DOAJ |
| description | Multiple model adaptive control has been investigated extensively during the last ten years in which the “switching” or “switching and tuning” have emerged as the mainly approaches. It is the “switching” that can improve the transient performance to some extent and also make it difficult to analyze the stability of the system with multiple models adaptive controller. Towards this goal, this paper develops a novel multiple models adaptive controller for a class of nonlinear system in parameter-strict-feedback form which not only improves the transient performance significantly, but also guarantees the stability of all the states of the closed-loop system. A simulation example is proposed to illustrate the effectiveness of the developed multiple models adaptive controller. |
| format | Article |
| id | doaj-art-e901c89222a7428b88ab7dbbaee37b1b |
| institution | DOAJ |
| issn | 1687-5249 1687-5257 |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Control Science and Engineering |
| spelling | doaj-art-e901c89222a7428b88ab7dbbaee37b1b2025-08-20T03:21:09ZengWileyJournal of Control Science and Engineering1687-52491687-52572012-01-01201210.1155/2012/409139409139Adaptive Control for a Class of Nonlinear System with Redistributed ModelsHaisen Ke0Jiang Li1College of Mechanical and Electrical Engineering, China Jiliang University, Zhejiang, Hangzhou 310018, ChinaCollege of Mechanical and Electrical Engineering, China Jiliang University, Zhejiang, Hangzhou 310018, ChinaMultiple model adaptive control has been investigated extensively during the last ten years in which the “switching” or “switching and tuning” have emerged as the mainly approaches. It is the “switching” that can improve the transient performance to some extent and also make it difficult to analyze the stability of the system with multiple models adaptive controller. Towards this goal, this paper develops a novel multiple models adaptive controller for a class of nonlinear system in parameter-strict-feedback form which not only improves the transient performance significantly, but also guarantees the stability of all the states of the closed-loop system. A simulation example is proposed to illustrate the effectiveness of the developed multiple models adaptive controller.http://dx.doi.org/10.1155/2012/409139 |
| spellingShingle | Haisen Ke Jiang Li Adaptive Control for a Class of Nonlinear System with Redistributed Models Journal of Control Science and Engineering |
| title | Adaptive Control for a Class of Nonlinear System with Redistributed Models |
| title_full | Adaptive Control for a Class of Nonlinear System with Redistributed Models |
| title_fullStr | Adaptive Control for a Class of Nonlinear System with Redistributed Models |
| title_full_unstemmed | Adaptive Control for a Class of Nonlinear System with Redistributed Models |
| title_short | Adaptive Control for a Class of Nonlinear System with Redistributed Models |
| title_sort | adaptive control for a class of nonlinear system with redistributed models |
| url | http://dx.doi.org/10.1155/2012/409139 |
| work_keys_str_mv | AT haisenke adaptivecontrolforaclassofnonlinearsystemwithredistributedmodels AT jiangli adaptivecontrolforaclassofnonlinearsystemwithredistributedmodels |