Adaptive Fuzzy Cooperative Control for Nonlinear Multiagent Systems with Unknown Control Coefficient and Actuator Fault
In this paper, an adaptive fuzzy containment condtrol is considered for nonlinear multiagent systems, in which it contains the unknown control coefficient and actuator fault. The uncertain nonlinear function has been approximated by fuzzy logic system (FLS). The unknown control coefficient and the r...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2021-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2021/8427437 |
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| _version_ | 1832547700521828352 |
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| author | Xin Deng Xiaoping Liu Yang Cui Cungen Liu |
| author_facet | Xin Deng Xiaoping Liu Yang Cui Cungen Liu |
| author_sort | Xin Deng |
| collection | DOAJ |
| description | In this paper, an adaptive fuzzy containment condtrol is considered for nonlinear multiagent systems, in which it contains the unknown control coefficient and actuator fault. The uncertain nonlinear function has been approximated by fuzzy logic system (FLS). The unknown control coefficient and the remaining control rate of actuator fault can be solved by introducing a Nussbaum function. In order to avoid the repeated differentiations of the virtual controllers, first-order filters are added to the traditional backstepping control method. By designing the maximum norm of ideal adaptive parameters, only one adaptive parameter needs to be adjusted online for each agent itself. An adaptive fuzzy containment controller is constructed through the backstepping control technique and compensating signals. It is demonstrated that all the signals in nonlinear multiagent systems are bounded by designing adaptive fuzzy containment controller, and all followers can converge to the convex hull built by the leaders. The simulation studies can further confirm the effectiveness of the proposed control method in this paper. |
| format | Article |
| id | doaj-art-4f975d8d86444291aa76dfcd9fd43dc4 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-4f975d8d86444291aa76dfcd9fd43dc42025-02-03T06:43:46ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/84274378427437Adaptive Fuzzy Cooperative Control for Nonlinear Multiagent Systems with Unknown Control Coefficient and Actuator FaultXin Deng0Xiaoping Liu1Yang Cui2Cungen Liu3School of Electronic and Information Engineering, University of Science and Technology Liaoning, Anshan 114051, ChinaDepartment of Electrical Engineering, Lakehead University, Thunder Bay P7B5E1, CanadaSchool of Electronic and Information Engineering, University of Science and Technology Liaoning, Anshan 114051, ChinaSchool of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250000, ChinaIn this paper, an adaptive fuzzy containment condtrol is considered for nonlinear multiagent systems, in which it contains the unknown control coefficient and actuator fault. The uncertain nonlinear function has been approximated by fuzzy logic system (FLS). The unknown control coefficient and the remaining control rate of actuator fault can be solved by introducing a Nussbaum function. In order to avoid the repeated differentiations of the virtual controllers, first-order filters are added to the traditional backstepping control method. By designing the maximum norm of ideal adaptive parameters, only one adaptive parameter needs to be adjusted online for each agent itself. An adaptive fuzzy containment controller is constructed through the backstepping control technique and compensating signals. It is demonstrated that all the signals in nonlinear multiagent systems are bounded by designing adaptive fuzzy containment controller, and all followers can converge to the convex hull built by the leaders. The simulation studies can further confirm the effectiveness of the proposed control method in this paper.http://dx.doi.org/10.1155/2021/8427437 |
| spellingShingle | Xin Deng Xiaoping Liu Yang Cui Cungen Liu Adaptive Fuzzy Cooperative Control for Nonlinear Multiagent Systems with Unknown Control Coefficient and Actuator Fault Complexity |
| title | Adaptive Fuzzy Cooperative Control for Nonlinear Multiagent Systems with Unknown Control Coefficient and Actuator Fault |
| title_full | Adaptive Fuzzy Cooperative Control for Nonlinear Multiagent Systems with Unknown Control Coefficient and Actuator Fault |
| title_fullStr | Adaptive Fuzzy Cooperative Control for Nonlinear Multiagent Systems with Unknown Control Coefficient and Actuator Fault |
| title_full_unstemmed | Adaptive Fuzzy Cooperative Control for Nonlinear Multiagent Systems with Unknown Control Coefficient and Actuator Fault |
| title_short | Adaptive Fuzzy Cooperative Control for Nonlinear Multiagent Systems with Unknown Control Coefficient and Actuator Fault |
| title_sort | adaptive fuzzy cooperative control for nonlinear multiagent systems with unknown control coefficient and actuator fault |
| url | http://dx.doi.org/10.1155/2021/8427437 |
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