Leader-Following Consensus for Second-Order Nonlinear Multiagent Systems with Input Saturation via Distributed Adaptive Neural Network Iterative Learning Control
In this paper, the consensus tracking control problem of leader-following nonlinear multiagent systems with iterative learning control is investigated. The model of each following agent consists of second-order unknown nonlinear dynamics and the external disturbance. Moreover, the input of each foll...
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2019-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2019/9858504 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850179394879881216 |
|---|---|
| author | Xiongfeng Deng Xiuxia Sun Shuguang Liu Boyang Zhang |
| author_facet | Xiongfeng Deng Xiuxia Sun Shuguang Liu Boyang Zhang |
| author_sort | Xiongfeng Deng |
| collection | DOAJ |
| description | In this paper, the consensus tracking control problem of leader-following nonlinear multiagent systems with iterative learning control is investigated. The model of each following agent consists of second-order unknown nonlinear dynamics and the external disturbance. Moreover, the input of each following agent is subject to saturation constraint. It is assumed that the information of leader is not available to any following agents, and the radial basis function neural network is introduced to approximate the nonlinear dynamics. Then, a distributed adaptive neural network iterative learning control protocol and the adaptive updating laws for the time-varying parameters are proposed, respectively. A new Lyapunov function is constructed to analyze the validity of the presented control protocol. Finally, a numerical example is provided to verify the effectiveness of theoretical results. |
| format | Article |
| id | doaj-art-9ea59b20c3f3406b85ec514eb19fe22e |
| institution | OA Journals |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2019-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-9ea59b20c3f3406b85ec514eb19fe22e2025-08-20T02:18:31ZengWileyComplexity1076-27871099-05262019-01-01201910.1155/2019/98585049858504Leader-Following Consensus for Second-Order Nonlinear Multiagent Systems with Input Saturation via Distributed Adaptive Neural Network Iterative Learning ControlXiongfeng Deng0Xiuxia Sun1Shuguang Liu2Boyang Zhang3College of Electrical Engineering, Anhui Polytechnic University, Wuhu 241000, ChinaEquipment Management and Unmanned Aerial Vehicle Engineering College, Air Force Engineering University, Xi’an 710051, ChinaEquipment Management and Unmanned Aerial Vehicle Engineering College, Air Force Engineering University, Xi’an 710051, ChinaEquipment Management and Unmanned Aerial Vehicle Engineering College, Air Force Engineering University, Xi’an 710051, ChinaIn this paper, the consensus tracking control problem of leader-following nonlinear multiagent systems with iterative learning control is investigated. The model of each following agent consists of second-order unknown nonlinear dynamics and the external disturbance. Moreover, the input of each following agent is subject to saturation constraint. It is assumed that the information of leader is not available to any following agents, and the radial basis function neural network is introduced to approximate the nonlinear dynamics. Then, a distributed adaptive neural network iterative learning control protocol and the adaptive updating laws for the time-varying parameters are proposed, respectively. A new Lyapunov function is constructed to analyze the validity of the presented control protocol. Finally, a numerical example is provided to verify the effectiveness of theoretical results.http://dx.doi.org/10.1155/2019/9858504 |
| spellingShingle | Xiongfeng Deng Xiuxia Sun Shuguang Liu Boyang Zhang Leader-Following Consensus for Second-Order Nonlinear Multiagent Systems with Input Saturation via Distributed Adaptive Neural Network Iterative Learning Control Complexity |
| title | Leader-Following Consensus for Second-Order Nonlinear Multiagent Systems with Input Saturation via Distributed Adaptive Neural Network Iterative Learning Control |
| title_full | Leader-Following Consensus for Second-Order Nonlinear Multiagent Systems with Input Saturation via Distributed Adaptive Neural Network Iterative Learning Control |
| title_fullStr | Leader-Following Consensus for Second-Order Nonlinear Multiagent Systems with Input Saturation via Distributed Adaptive Neural Network Iterative Learning Control |
| title_full_unstemmed | Leader-Following Consensus for Second-Order Nonlinear Multiagent Systems with Input Saturation via Distributed Adaptive Neural Network Iterative Learning Control |
| title_short | Leader-Following Consensus for Second-Order Nonlinear Multiagent Systems with Input Saturation via Distributed Adaptive Neural Network Iterative Learning Control |
| title_sort | leader following consensus for second order nonlinear multiagent systems with input saturation via distributed adaptive neural network iterative learning control |
| url | http://dx.doi.org/10.1155/2019/9858504 |
| work_keys_str_mv | AT xiongfengdeng leaderfollowingconsensusforsecondordernonlinearmultiagentsystemswithinputsaturationviadistributedadaptiveneuralnetworkiterativelearningcontrol AT xiuxiasun leaderfollowingconsensusforsecondordernonlinearmultiagentsystemswithinputsaturationviadistributedadaptiveneuralnetworkiterativelearningcontrol AT shuguangliu leaderfollowingconsensusforsecondordernonlinearmultiagentsystemswithinputsaturationviadistributedadaptiveneuralnetworkiterativelearningcontrol AT boyangzhang leaderfollowingconsensusforsecondordernonlinearmultiagentsystemswithinputsaturationviadistributedadaptiveneuralnetworkiterativelearningcontrol |