Formation Tracking for Nonaffine Nonlinear Multiagent Systems Using Neural Network Adaptive Control
Joint Authors
Zhang, Jianhua
Zhao, Tongjuan
Wang, Jiuhe
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-26
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Adaptive tracking control for distributed multiagent systems in nonaffine form is considered in this paper.
Each follower agent is modeled by a nonlinear pure-feedback system with nonaffine form, and a nonlinear system is unknown functions rather than constants.
Radial basis function neural networks (NNs) are employed to approximate the unknown nonlinear functions, and weights of NNs are updated by adaptive law in finite-time form.
Then, the adaptive finite NN approach and backstepping technology are combined to construct the consensus tracking control protocol.
Numerical simulation is presented to demonstrate the efficacy of suggested control proposal.
American Psychological Association (APA)
Zhao, Tongjuan& Wang, Jiuhe& Zhang, Jianhua. 2020. Formation Tracking for Nonaffine Nonlinear Multiagent Systems Using Neural Network Adaptive Control. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1194589
Modern Language Association (MLA)
Zhao, Tongjuan…[et al.]. Formation Tracking for Nonaffine Nonlinear Multiagent Systems Using Neural Network Adaptive Control. Mathematical Problems in Engineering No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1194589
American Medical Association (AMA)
Zhao, Tongjuan& Wang, Jiuhe& Zhang, Jianhua. Formation Tracking for Nonaffine Nonlinear Multiagent Systems Using Neural Network Adaptive Control. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1194589
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194589