Connectivity-Preserving Consensus Tracking of Uncertain Nonlinear Strict-Feedback Multiagent Systems: An Error Transformation Approach
- Authors
- Yoo, Sung Jin
- Issue Date
- Sep-2018
- Publisher
- IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
- Keywords
- Adaptive consensus tracking; connectivity preservation; error transformation; function approximation technique; networked nonlinear systems
- Citation
- IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, v.29, no.9, pp 4542 - 4548
- Pages
- 7
- Journal Title
- IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
- Volume
- 29
- Number
- 9
- Start Page
- 4542
- End Page
- 4548
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/819
- DOI
- 10.1109/TNNLS.2017.2764495
- ISSN
- 2162-237X
2162-2388
- Abstract
- This brief addresses a distributed connectivity-preserving adaptive consensus tracking problem of uncertain nonlinear strict-feedback multiagent systems with limited communication ranges. Compared with existing consensus results for uncertain nonlinear lower triangular multiagent systems, the main contribution of this brief is to present an error-transformation-based design methodology to preserve initial connectivity patterns in the consensus tracking field, namely, both connectivity preservation and consensus tracking problems are considered for uncertain nonlinear lower triangular multiagent systems. A dynamic surface design based on nonlinearly transformed errors and neural network function approximators is established to construct the local controller of each follower. In addition, a technical lemma is derived to analyze the stability of the proposed connectivity-preserving consensus scheme in the Lyapunov sense.
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Collections - College of ICT Engineering > School of Electrical and Electronics Engineering > 1. Journal Articles
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